7 Correlation Analysis Jobs nearby Delhi

Role Overview: As the Improvement & Performance Manager-Packet Core for Service Line Operate Service Improvement, you will play a crucial role in identifying, driving, supporting, and facilitating efficient and effective transformations and changes within the business. Your focus will be on delivering improved customer, operational, and financial performance impact, as well as driving required culture changes. Key Responsibilities: - Drive improvement projects in MS contracts/delivery organization with defined tangible business targets, aiming at cost reduction, improved customer experience, and enhanced network performance. - Be accountable for WO/ticket/alarm reduction initiatives per contract. - Perform Alarm, TT, WO correlations to resolve chronic issues in the network, validate and analyze network performance reports, and prepare action plans for network improvement. - Participate in technical discussions to enhance overall network performance and provide recommendations from the problem management perspective. - Propose and ensure best practices are followed within all related functions. - Perform KPI Trend monitoring and post-deviation analysis. - Identify, prescribe, and drive the implementation of pro-active prevention methods in problem handling. - Maintain and track actions undertaken to drive improvements following governance methods. - Identify SPOF and drive mitigation plans to minimize impact. - Maintain RISK register for identified risks and drive them to minimize impact or mitigation. - Collaborate with Data Analytics teams to build models to drive prescriptive insights. - Propose predictive analytic models based on alarms/outages, QoS based on Capacity & Utilization trends. - Continuously engage the operations team and other teams to provide timely closure for actions. - Prioritize problems based on risk, impact, and severity. - Contribute to developing and maintaining a good record of problems, root causes, and solution details in the form of a knowledge base that can be used as a reference for reducing repetitive incidents due to the same problem. Qualifications Required: - Must have knowledge of 4G/5G network architecture, call flow, and interfaces, with the ability to analyze call flow traces and resolve customer complaints. - Should have knowledge of data analytics tools like Power BI, TABLEAU, MS Excel, etc. - Should have the ability to drive projects/assignments independently as per customer requirements. - Must have analytical skills to identify improvement areas in customer networks and suggest required solutions proactively. - Must have presentation skills and understanding of Service Related KPIs and User perception. - Understanding of Machine Learning, Artificial Intelligence, and Automation. - Ability to perform new Project ORQ (operation request) assessment & KPI analysis after new change implementation in the network. - Familiarity with EBP (Ericsson Business Process and Finance Processes). Additional Company Details: Omit this section as there are no additional details mentioned in the job description. Role Overview: As the Improvement & Performance Manager-Packet Core for Service Line Operate Service Improvement, you will play a crucial role in identifying, driving, supporting, and facilitating efficient and effective transformations and changes within the business. Your focus will be on delivering improved customer, operational, and financial performance impact, as well as driving required culture changes. Key Responsibilities: - Drive improvement projects in MS contracts/delivery organization with defined tangible business targets, aiming at cost reduction, improved customer experience, and enhanced network performance. - Be accountable for WO/ticket/alarm reduction initiatives per contract. - Perform Alarm, TT, WO correlations to resolve chronic issues in the network, validate and analyze network performance reports, and prepare action plans for network improvement. - Participate in technical discussions to enhance overall network performance and provide recommendations from the problem management perspective. - Propose and ensure best practices are followed within all related functions. - Perform KPI Trend monitoring and post-deviation analysis. - Identify, prescribe, and drive the implementation of pro-active prevention methods in problem handling. - Maintain and track actions undertaken to drive improvements following governance methods. - Identify SPOF and drive mitigation plans to minimize impact. - Maintain RISK register for identified risks and drive them to minimize impact or mitigation. - Collaborate with Data Analytics teams to build models to drive prescriptive insights. - Propose predictive analytic models based on alarms/outages, QoS based on Capacity & Utilization trends. - Continuously engage the operations team and other teams to provide timely closure for actions. - Prioritize problems based on risk, impact, and severity. - Contribute to developing

As an Improvement & Performance Manager- Packet Core for Service Line Operate Service Improvement, you will play a crucial role in identifying, driving, supporting, and facilitating efficient transformations and changes within the business. You will be responsible for delivering improved customer, operational, and financial performance impact, as well as required culture changes. Your focus will be on driving improvement projects in MS contracts/delivery organization with defined tangible business targets, aiming at cost reduction, improved customer experience, and network performance. - Accountable for WO / ticket / alarm reduction initiatives per contract - Perform Alarm, TT, WO correlations to resolve chronic issues in the network - Validate and analyze network performance reports & prepare action plans for network improvement - Participate in technical discussions to improve overall network performance and make recommendations - Propose and ensure best practices are followed within all related functions - Perform KPI Trend monitoring and post-deviation analysis - Identify, prescribe, and drive the implementation of proactive prevention methods in problem handling - Drive and track actions to drive improvements following governance methods - Identify SPOF and drive mitigation plans to minimize impact - Maintain RISK register for identified risks and drive them to minimize impact or mitigation - Collaborate with Data Analytics teams to build models for prescriptive insights - Propose predictive analytic models based on alarms/outages, QoS based on Capacity & Utilization trends - Engage with operations team and other teams to provide timely closure for actions - Prioritize problems based on risk, impact, and severity - Contribute to developing and maintaining a good record of problem, root cause, and solution details in the form of a knowledge base Qualifications Required: - BE/ B. Tech in Telecommunication/ Computer Science or MBA - Minimum 6 years of industry experience - At least 6 years hands-on experience in Packet/CS Core domain within Telecoms Operations - Knowledge of 4G/5G network architecture, call flow, interfaces, and ability to analyze call flow traces - Familiarity with data analytic tools like Power BI, TABLEAU, MS Excel - Ability to drive projects independently as per customer requirements - Analytical skills to identify improvement areas in customer network and suggest proactive solutions - Presentation skills and understanding of Service Related KPIs and User perception - Understanding of Machine Learning, Artificial Intelligence, and Automation - Ability to perform new Project ORQ assessment & KPI analysis after new change implementation in the network - Knowledge of EBP (Ericsson Business Process and Finance Processes),

Role Overview: As a Senior Security Analyst, your primary role will involve specializing in SOC operations, real-time threat detection, incident response, and SIEM management, with a specific focus on RSA NetWitness. You will be responsible for analyzing and responding to security events, integrating and managing log sources, and ensuring the overall health and efficiency of security systems. Your experience in 24/7 monitoring of security events, identifying suspicious activities, and conducting thorough investigations to determine root causes and potential impact will be crucial in this role. Additionally, you will be tasked with tuning and optimizing SIEM alert rules, creating correlation policies, and minimizing false positives. Key Responsibilities: - Specialize in SOC operations, real-time threat detection, incident response, and SIEM management, with a focus on RSA NetWitness. - Analyze and respond to security events, integrate and manage log sources, and ensure the overall health and efficiency of security systems. - Demonstrate experience in 24/7 monitoring of security events, identifying suspicious activities, and conducting thorough investigations to determine root causes and potential impact. - Tune and optimize SIEM alert rules, create correlation policies, and minimize false positives. - Integrate log sources such as firewalls, servers, and endpoints, ensuring log integrity and backup compliance. - Analyze malicious IPs, domains, and URLs, and take proactive measures based on threat intelligence. - Ensure accurate documentation and timely closure of incidents through HPSM or similar ITSM platforms. - Possess a strong understanding of network security concepts, TCP/IP, IDS/IPS, attack vectors, IP reputation analysis, malware behavior, and threat intelligence interpretation. - Utilize hands-on proficiency with RSA NetWitness or similar SIEM platforms like Splunk or QRadar, in addition to ITSM tools. - Demonstrate excellent analytical skills, attention to detail, and the ability to operate effectively in high-pressure SOC environments while adhering to audit and regulatory requirements. Qualifications Required: - Experience in SOC operations, real-time threat detection, incident response, and SIEM management. - Proficiency in RSA NetWitness or similar SIEM platforms like Splunk or QRadar. - Strong understanding of network security concepts, TCP/IP, IDS/IPS, attack vectors, IP reputation analysis, malware behavior, and threat intelligence interpretation. - Excellent analytical skills, attention to detail, and the ability to operate effectively in high-pressure SOC environments while adhering to audit and regulatory requirements.,

You will be working as an IT Operation Analyst (L2 Support) at Intellismith, a startup aiming to tackle India's employability challenges by shifting to a product-focused approach. Your role involves supporting a project for a renowned consulting firm specializing in technology, risk, compliance, and internal audit. Key Responsibilities: - Monitor IT infrastructure utilizing EMS tools like Zabbix, SolarWinds, Nagios - Perform basic troubleshooting and escalate issues following SOPs - Log, track, and manage incidents using ITSM tools such as ServiceNow and BMC Remedy - Collaborate with internal teams/vendors to resolve issues - Analyze and address escalated alerts through advanced troubleshooting - Conduct root cause analysis (RCA) for recurring issues - Configure/tune EMS tools, thresholds, and event correlation rules - Coordinate with infra teams for issue resolution and system integration - Document SOPs, RCAs, and contribute to L1 knowledge base - Generate performance/incident trend reports and support audits - Maintain EMS tools including patching, role access, and backups Qualifications Required: - 3-6 years of experience working with EMS tools - B.E./B.Tech in Computer Science or Information Technology - Proficiency in EMS tools (e.g., Zabbix, SolarWinds, Nagios) - Strong familiarity with ITSM/ticketing platforms (ServiceNow, BMC Remedy) - Experience in system performance monitoring, alert tuning, and event correlation - Ability to troubleshoot infrastructure issues (server, network, application) at L1 & L2 levels - Understanding of RCA, SOPs, reporting, and compliance practices - Knowledge of ITIL standards and change management processes,

Role Overview: You are an experienced Analog and Mixed-Signal (A&MS) Senior Circuit Design Expert with a specialization in PLL and SERDES design. Your expertise lies in mixed-signal techniques for power reduction, performance enhancement, and area reduction. You excel in developing Analog Full custom circuit macros for High Speed PHY IP in advanced technology nodes. Collaboration and nurturing key analog design talent are key aspects of your role. Key Responsibilities: - Leading Serdes analog design and development. - Analyzing mixed signal techniques for power reduction, performance enhancement, and area reduction. - Developing Analog Full custom circuit macros for High Speed PHY IP. - Collaborating with silicon test and debug experts for Sim2Sil correlation. - Building and nurturing a team of analog design talent. - Working with experienced teams locally and globally. Qualifications Required: - BE with 18+ years of relevant experience or MTech with 15+ years of relevant experience in mixed signal analog, clock, and datapath circuit design. - Strong knowledge of RF architecture and blocks such as transceivers, VCOs, LNA, and up/down converters. - Experience in designing Charge-pump-based PLLs, Fractional-N PLLs, Digital PLLs, XTAL oscillators, and LO generation circuits. - Proficiency in high-speed digital circuit design and timing/phase noise analysis. - Ability to create behavioral models of PLL to drive architectural decisions. Company Details: At Synopsys, we drive innovations shaping the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. Rewards and Benefits: Synopsys offers a comprehensive range of health, wellness, and financial benefits to cater to your needs. Total rewards include both monetary and non-monetary offerings. More details about the salary range and benefits will be provided by your recruiter during the hiring process.,

As an experienced candidate with more than 5 years in software testing, you should possess a B. Tech./ B.E., M. Tech/M.E. in Computer Science or a related technical discipline (or equivalent). Additionally, you should have 4-5 years of first-hand experience in software testing. In this role, your key responsibilities will include: - Performing code analysis, developing testing tools, and creating unit testing - Writing programs for in-house testing tools for automation and enhancing automation tools - Writing test cases, executing tests, deriving test results, and ensuring high-quality delivery - Conducting Root Cause Analysis and Impact Analysis - Participating in review meetings within the team - Troubleshooting test environments - Writing/verifying JUnit test cases - Having expertise in test scripting, parameterization, correlation, and result analysis - Analyzing and understanding performance testing requirements - Interpreting performance test results - Planning, scheduling, and performing performance Testing assignments and delivering to time and budget - Broad knowledge of performing testing approaches and techniques - Reading and interpreting application log files and database reports - Identifying performance bottlenecks and recommending solutions - Experience in web/application/database server monitoring - Creating performance test summary reports Desired skills and experience for this role include: - Having coding skills in Java - Strong knowledge in SDLC and Test Life Cycle - Experience using test automation tools, with experience in Selenium being desirable - Working knowledge of Java - Knowledge of JMeter will be preferred - Programming skills needed for coding performance test scripts If you are interested in this white box testing position in the testing department, please reach out to hr@noduco.com for further details.,

Role Overview: As a Security Operations Center (SOC) Manager at Sumo Logic, your typical day will involve managing SOC analysts, conducting in-depth incident analysis, and correlating data using the Sumo Logic Platform. You will guide analysts in triage and remediation, assess the impact on critical systems, address vulnerabilities, support threat detection through machine learning, and encourage cross-functional collaboration. Your responsibilities also include mentoring SOC analysts, enhancing skills through training, assisting engineering with compliance and security requirements, and developing the team to handle evolving threats. Additionally, you will play a key role in continuously improving the organization's security posture by implementing policy, process, and engineering changes. Key Responsibilities: - Manage SOC analysts and guide them through incident analysis and data correlation - Assess impact on critical systems, address vulnerabilities, and support threat detection - Mentor SOC analysts, enhance skills through training, and develop the team - Assist engineering with compliance and security requirements - Continuously improve the organization's security posture through policy, process, and engineering changes Qualifications Required: - Bachelor's degree in computer science or equivalent industry experience - 8+ years of overall security experience, including a minimum of 2 years in AWS Security and 2 years of leadership experience - Proactive self-starter with a passion for identifying root causes of technical problems - Well-versed in major compliance frameworks and certifications such as PCI and SOC - Creativity and experience in anticipating alternative vulnerability vectors and mitigating exposure - In-depth knowledge of AWS services, endpoint security, threat intelligence, forensics, and malware reverse engineering - Advanced skills in log parsing, incident investigation, and response - Solid understanding of emerging security threats and mitigation strategies - Extensive experience with advanced Threat Modeling (OWASP, STRIDE, PASTA, Trike) - Enthusiastic about collaborating with and mentoring the team - Thorough knowledge of Incident Response procedures Additional Company Details: Sumo Logic, Inc. is dedicated to making the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. The platform combines AI-powered SIEM and log analytics to detect, investigate, and resolve modern cybersecurity and cloud operations challenges. Trusted by customers worldwide, Sumo Logic provides insights to protect against security threats, ensure reliability, and gain powerful insights into digital environments. For more information, visit www.sumologic.com. Employees are expected to comply with applicable federal privacy laws, regulations, and organizational policies related to data protection.,

Location: Chennai Qualification: B.E Experience: 5-10 years Compensation- 7 to 14 LPA Role Overview The Senior Engineer CEA will play a key role in ensuring product reliability by validating designs, conducting root-cause analysis, and developing innovative testing methods. The role focuses on enhancing long-term durability of farm equipment components through systematic testing, field correlation, and cross-functional collaboration. The engineer will be responsible for analysing failures, establishing testing standards, and driving corrective & preventive actions. Key Responsibilities Reliability & Validation Validate designs to ensure long-term reliability and performance under field conditions. Develop and implement new testing standards, reliability measures, and validation procedures. Create and refine test methods to evaluate component durability and behavior. Failure Analysis & Root Cause Investigation Conduct root cause analysis for field failures and warranty concerns. Establish correlations between field performance vs. lab test results. Implement corrective actions and support design improvements to avoid recurring failures. Lab & Field Testing Plan and execute lab testing, endurance tests, and performance evaluations. Support field testing activities, capturing real-world operating conditions and failure patterns. Monitor components during testing to ensure reliability criteria are met. Documentation & Risk Mitigation Prepare detailed reports, documentation, and DFMEA to identify and mitigate design risks. Maintain comprehensive records of test results, failure modes, and corrective actions. Cross-Functional Collaboration Participate in CFT (Cross-Functional Team) meetings to address reliability issues. Lead discussions and contribute to decision-making on design improvements. Work closely with design, manufacturing, service, and quality teams to resolve reliability challenges. Required Skills & Competencies Technical Skills Failure Analysis (RCA) Lab Testing & Field Testing Reliability Engineering & Validation DFMEA / PFMEA Test Method Development Root Cause Analysis Tools (5 Why, Fishbone, etc.) Reliability Measures & Monitoring Knowledge of agricultural/farm machinery preferred  Soft Skills Strong analytical and problem-solving ability Good documentation and reporting skills Cross-functional coordination Attention to detail Ability to lead discussions and present findings effectively

Role Overview: As a pivotal member of the team, you will be responsible for managing production workflows, resolving technical issues, and implementing proactive monitoring strategies to ensure a seamless transaction experience. Key Responsibilities: - Production Monitoring and Uptime Management - Proactively identify and resolve performance bottlenecks, anomalies, and transaction failures - Technical Support and Incident Management - Lead incident response efforts, conduct root cause analysis (RCA), and implement corrective actions to prevent recurrence - Ensure adherence to SLAs and maintain detailed logs for reporting and compliance - Change Management and Impact Mitigation - Participate in change management processes for application and system components, ensuring minimal disruption to service flows - Evaluate the potential impact of changes and help devise enhanced monitoring workflows/metrics to detect and mitigate issues - Correlate past incidents with current changes to proactively improve monitoring and risk management practices - Data Analysis and Reporting - Analyze transaction patterns, operational metrics, and system logs to proactively detect potential failures - Implement monitoring metrics using ELK Stack (Elasticsearch, Logstash, Kibana) to identify trends, anomalies, and failure points - Prepare periodic reports on system performance, incident trends, and improvement initiatives for senior management Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field - ITIL Certification or experience with IT service management best practices Additional Company Details: The industry of the company is not mentioned in the provided job description.,

As a Data Analytics Executive (Technical Fresher) at our company, your role will involve supporting the analytics team with gathering, processing, visualizing, and interpreting data for various in-house digital projects. You should possess solid analytical thinking, proficiency with general analytics tools, and the ability to work with datasets, dashboards, and basic automation scripts. This position is perfect for a fresher looking to kickstart a career in data analytics, business intelligence, or performance data engineering. **Key Responsibilities:** - **Data Collection & Processing** - Extract, clean, and organize data from multiple sources such as CSV, API, databases, and dashboards. - Utilize SQL queries to pull and filter relevant data sets. - Ensure data accuracy, consistency, and integrity. - **Data Analysis & Insight Generation** - Conduct trend analysis, correlation analysis, and performance comparison. - Identify anomalies, sudden drops, and unusual data behavior. - Assist in generating predictive insights based on historical datasets (basic forecasting). - **Reporting & Visualization** - Develop dashboards and automated reports using tools like Power BI, Tableau, and optionally Looker Studio. - Create charts, models, and visual summaries for management. - Present technical insights in simplified formats for non-technical teams. - **Automation & Scripting (Good to Have)** - Write basic Python scripts for data cleaning, merging datasets, and automating manual reports. - Familiarity with Google BigQuery for handling large datasets and running analytical queries. - **Cross-Team Collaboration** - Collaborate with performance, marketing, and product teams to translate data into actionable steps. - Share insights on project health, upward/downward trends, and KPIs. **Required Technical Skills:** - Advanced Excel (VLOOKUP/XLOOKUP, Pivot Tables, Conditional Logic, Power Query preferred). - Proficiency in Power BI, Tableau, SQL, Google BigQuery basics, and Python basics. - Understanding of data structures, KPIs, and dashboards. **Good to Have (Optional Skills - Not Mandatory):** - Knowledge of GA4, GSC, Google Ads, Meta Insights, Looker Studio, HubSpot Analytics, SEMrush/Ahrefs, API integration, and basic statistical concepts. In terms of your profile, we are looking for individuals with strong analytical thinking, problem-solving skills, and the ability to work comfortably with numbers, graphs, and raw datasets. Excellent documentation and reporting skills are essential, along with a willingness to learn new tools and analytical frameworks promptly. **Education:** Candidates with a degree in B.Tech, BCA, B.Sc, MCA, M.Tech, or any other degree focusing on analytics, statistics, computer science, or data-related subjects are preferred. This is a full-time, permanent position with benefits including paid sick time, paid time off, and Provident Fund. The work location is in person at Chandigarh. We look forward to welcoming you to our dynamic team of data enthusiasts!,

As a Sr. Security Incident Response Engineer at Autodesk, your role is crucial in the incident response team. You will utilize your expertise in Splunk to monitor, analyze, and investigate security incidents across various data sources. Your responsibilities include: - Monitoring & Triage: Actively monitor security dashboards and alerts using Splunk to detect suspicious activities and potential incidents. - Incident Investigation: Perform detailed analyses of security events, leveraging Splunk to aggregate and correlate data from different telemetry sources to identify IOCs. - Support & Collaboration: Assist in coordinated incident response efforts during high-stakes investigations. - Documentation & Reporting: Maintain clear, detailed incident reports and contribute to the creation and refinement of technical playbooks and standard operating procedures. - Continuous Learning: Stay updated on industry trends, emerging threat techniques, and best practices in incident response and cybersecurity. - Cloud Agnostic: Ensure effective incident analysis within cloud-agnostic environments involving Azure, AWS, and GCP. Qualifications required for this role: - Experience: 3-5 years of experience in security operations or incident response, demonstrating proficiency in conducting investigations. - Technical Skills: Strong command of Splunk for log analysis, data correlation, and building dashboards across multiple sources. - Foundational Expertise: Solid understanding of incident response processes and familiarity with telemetry, SIEM/SOAR integration, and cloud environments. - Soft Skills: Excellent communication and collaborative skills; ability to work effectively in a fast-paced, dynamic environment. - Cloud Agnostic: Exposure to security practices across various cloud platforms including Azure, AWS, and GCP. Autodesk is a company that takes pride in its culture and values, guiding the way they work, connect with customers and partners, and show up in the world. At Autodesk, you can contribute to creating a better world through meaningful work. If you are ready to shape the world and your future, consider joining Autodesk.,

As a Performance Tester with 6+ years of experience, your main responsibilities will include: - Understanding Non-Functional Requirements (NFRs) such as response time, throughput, concurrency, and scalability. - Defining Performance Testing Strategy & Approach covering load, stress, endurance, spike, and scalability testing. - Planning and Estimating Testing Efforts by preparing test plans, scenarios, and timelines. - Coordinating with Stakeholders including developers, architects, DBAs, infrastructure, and business teams. - Designing Workload Models to identify critical user journeys and expected transaction volumes. - Preparing Performance Test Scripts using tools like JMeter and LoadRunner. - Implementing Parameterization & Correlation to make scripts dynamic for handling real-life scenarios. - Setting Up Test Environment to ensure proper infrastructure, test data, and monitoring tools readiness. - Executing Performance Tests to simulate expected concurrent users and transactions. - Monitoring System Resources including CPU, memory, DB, network, and application logs. - Analyzing Test Results to identify bottlenecks, slow queries, memory leaks, and performance issues. - Comparing Results with SLAs to ensure business Key Performance Indicators (KPIs) and benchmarks are met. - Preparing Reports & Dashboards to highlight key findings, trends, and recommendations. - Collaborating for Root Cause Analysis with development, database, and infrastructure teams to fix issues. - Supporting Capacity Planning by providing inputs on infrastructure requirements for future scaling. - Integrating with CI/CD to enable continuous performance testing in DevOps pipelines. - Conducting Production Validation by performing post-release checks to ensure performance stability. - Mentoring Team Members by reviewing scripts, guiding juniors, and ensuring the quality of deliverables. - Communicating Findings to Stakeholders by translating technical results into business impact. - Driving Continuous Improvement by suggesting optimizations in code, infrastructure, or architecture. In addition to the job responsibilities, the company offers benefits such as health insurance and provident fund. The work location is in person. This is a Full-time position that will provide you with the opportunity to utilize your expertise in Performance Testing and contribute to the continuous improvement of the company's performance testing processes. As a Performance Tester with 6+ years of experience, your main responsibilities will include: - Understanding Non-Functional Requirements (NFRs) such as response time, throughput, concurrency, and scalability. - Defining Performance Testing Strategy & Approach covering load, stress, endurance, spike, and scalability testing. - Planning and Estimating Testing Efforts by preparing test plans, scenarios, and timelines. - Coordinating with Stakeholders including developers, architects, DBAs, infrastructure, and business teams. - Designing Workload Models to identify critical user journeys and expected transaction volumes. - Preparing Performance Test Scripts using tools like JMeter and LoadRunner. - Implementing Parameterization & Correlation to make scripts dynamic for handling real-life scenarios. - Setting Up Test Environment to ensure proper infrastructure, test data, and monitoring tools readiness. - Executing Performance Tests to simulate expected concurrent users and transactions. - Monitoring System Resources including CPU, memory, DB, network, and application logs. - Analyzing Test Results to identify bottlenecks, slow queries, memory leaks, and performance issues. - Comparing Results with SLAs to ensure business Key Performance Indicators (KPIs) and benchmarks are met. - Preparing Reports & Dashboards to highlight key findings, trends, and recommendations. - Collaborating for Root Cause Analysis with development, database, and infrastructure teams to fix issues. - Supporting Capacity Planning by providing inputs on infrastructure requirements for future scaling. - Integrating with CI/CD to enable continuous performance testing in DevOps pipelines. - Conducting Production Validation by performing post-release checks to ensure performance stability. - Mentoring Team Members by reviewing scripts, guiding juniors, and ensuring the quality of deliverables. - Communicating Findings to Stakeholders by translating technical results into business impact. - Driving Continuous Improvement by suggesting optimizations in code, infrastructure, or architecture. In addition to the job responsibilities, the company offers benefits such as health insurance and provident fund. The work location is in person. This is a Full-time position that will provide you with the opportunity to utilize your expertise in Performance Testing and contribute to the continuous improvement of the company's performance testing processes.

Role Overview: You should hold a Masters or Ph.D. degree in Mathematics, Statistics, Financial Engineering, or a related quantitative field to ensure a strong foundation in complex financial modeling. With 10+ years of experience in market risk model development/validation, proficiency in programming languages such as Python, R, and strong analytical skills will be essential for effective data interpretation and model analysis. Your excellent verbal and written communication skills will allow you to articulate complex quantitative concepts effectively and collaborate with other analysts, risk managers, and IT professionals in team environments. Candidates with exposure to FRTB- Standardized Approach implementation or FRTB IMA - Model development experience will be preferred, and FRM/CQF/CFA certification would be a plus. Key Responsibilities: - Develop or validate market risk models covering Value at Risk (VaR), Stress VaR, VaR mapping, back-testing VaR, Expected Shortfall, Market risk Stress testing Loss estimation, RWA calculation, Sensitivity & Scenario analysis, modeling dependence, term structure models of interest rates, and volatility modeling - Have a deep understanding of the Fundamental Review of the Trading Book (FRTB) regulations, specifically expertise in the Internal Models Approach (IMA) and the Standardized Approach (SA) - Preferably have IMA & CVA Experience - Demonstrate experience in developing or validating quantitative models within the banking sector aligned with FRTB standards, especially in market risk modeling - Be familiar with risk factor modellability concepts and be adept in calculating capital requirements under FRTB guidelines - Perform back tests of the distribution of simulated risk factors - Conduct quantitative analysis of market data, including historical market data and current market trends, to identify potential risks and recommend appropriate risk mitigation strategies - Stay up to date with industry trends, regulations, and best practices related to market risk management Qualifications Required: - Mandatory skill sets include Market Risk Quant - Preferred skill sets include Model Development / Validation and FRTB - You should have a minimum of 3+ years of experience - Education qualification required is a Masters or Ph.D. degree in Mathematics, Statistics, Financial Engineering, or a related quantitative field,

Role Overview: As a Business Analyst specializing in Data Strategy, you will play a crucial role in leading and supporting data-driven digital transformation initiatives within the organization. Your expertise in IT business analysis and advanced data analytics will be instrumental in optimizing business processes and outcomes. Acting as a bridge between technical teams and business stakeholders, you will ensure that digital transformation strategies are effectively aligned with business goals. This hands-on role requires you to be a critical thinker, team player, exceptionally curious, self-starter, and possess impeccable attention to detail to thrive in a fast-paced environment. Key Responsibilities: - Collaborate with stakeholders to understand business needs and translate them into functional and technical requirements. - Define KPIs, design dashboards, and extract actionable insights from structured and unstructured data in collaboration with data teams. - Collect, clean, and validate large datasets from multiple sources to ensure data accuracy and reliability. - Perform statistical analysis to identify trends, correlations, and outliers supporting decision-making. - Build interactive dashboards and reports using tools like Power BI, Tableau, or Excel. - Write and optimize SQL queries for efficient data extraction and manipulation. - Translate data insights into actionable recommendations by collaborating with engineering, operations, and business teams. - Support automation of data collection and reporting processes using Python, R, or workflow tools. - Improve data pipeline efficiency and data governance in collaboration with engineering teams. - Present analytical findings and visualizations to stakeholders through clear, structured storytelling. - Stay updated with emerging analytics tools, AI trends, and visualization best practices. - Identify opportunities to apply AI for enhancing operational efficiency, customer experience, and decision-making. - Participate in enterprise data governance activities to ensure alignment, evolution, and adherence to standards across data sets. - Support data owners and 3rd party data provider partners in executing ongoing data quality processes and cleansing projects. Qualifications Required: - Bachelor's or Master's degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or a related field. - 5+ years of experience as an IT Business Analyst with a focus on enabling data-driven decision-making. - Hands-on experience with data visualization tools such as Power BI, Tableau, or Excel. - Proficiency in SQL and experience working with relational databases. - Working knowledge of Python or R for statistical analysis and automation. - Exposure to cloud data platforms like AWS, Azure, or Google BigQuery is advantageous. - Strong analytical thinking, problem-solving, and decision-making abilities. - Excellent communication and stakeholder management skills. - Certifications related to AI/ML are preferred. (Note: The job description did not include any additional details about the company.),

As an HR Data Analyst, you will be responsible for collecting and analyzing HR data from various sources, including Horizon (Oracle Fusion Cloud), employee surveys, and other relevant systems. Your primary tasks will involve cleaning, transforming, and validating HR data to ensure accuracy, consistency, and data integrity. You will deliver statistical outcomes primarily through reporting and identify trends, patterns, correlations, and insights related to HR metrics and key performance indicators (KPIs) using data analysis techniques. Key Responsibilities: - Collect and analyze HR data from multiple sources - Clean, transform, and validate HR data to ensure accuracy and data integrity - Identify trends, patterns, correlations, and insights related to HR metrics and KPIs - Conduct statistical analyses and predictive modeling to support HR initiatives - Collaborate with HR stakeholders to understand data requirements and develop customized reports - Monitor HR data for anomalies, outliers, and data quality issues - Maintain data privacy and confidentiality in compliance with GDPR regulations Qualifications Required: - Proven experience as an HR Data Analyst or similar role - In-depth knowledge of HR processes, metrics, and KPIs - Strong analytical and problem-solving skills - Proficiency in Microsoft Office tools and data analysis software - Familiarity with HRIS systems and statistical analysis techniques - Excellent attention to detail and accuracy in handling HR data - Strong communication and storytelling skills - Organizational and time management skills - Continuous learning mindset to stay updated with HR data analysis trends The ideal candidate for this position will have expertise in HR data analysis, a strong understanding of HR processes and metrics, and the ability to extract insights from complex HR data sets. While a bachelor's degree in HR, Data Science, Statistics, or a related field is advantageous, experience in the HR domain or working closely with HR stakeholders is preferred. Good communication skills and proficiency in English, both oral and written, are essential for this role.,

Role Overview: As a Senior SOC Analyst at our company, you will be a Tier 2 cybersecurity specialist responsible for advanced incident investigation, threat hunting, and guiding SOC operations to protect enterprise systems and networks. Your role will involve acting as the escalation point for L1 analysts, leading complex investigations, and driving improvements in security detection, response, and prevention strategies. Additionally, you will mentor junior staff and collaborate with cross-functional teams to strengthen the organization's security posture. Key Responsibilities: - Lead triage, investigation, and containment of complex security incidents escalated from L1. - Lead Security Incidents and coordinate Incident Response. - Coordinate with stakeholders to contain, eradicate, and recover from security incidents. - Conduct root cause analysis, malware analysis, and advanced forensics (network, endpoint, and cloud). - Develop and refine incident response playbooks. - Proactively hunt for threats using SIEM, EDR, and threat intelligence feeds. - Support the creation and optimization of detection rules, correlation logic, and automation scripts. - Perform gap analysis to improve detection capabilities. - Monitor and analyze security alerts from SIEM, IDS/IPS, EDR, DLP, and other security platforms. - Correlate events across multiple data sources for accurate threat assessment. - Support audits, compliance checks, and risk assessments. - Mentor and train SOC L1 analysts on investigation techniques and tools. Qualifications: - Experience: 3+ years in cybersecurity, with at least 2 years in SOC/Incident Response. - Advanced knowledge of SIEM, EDR, IDS/IPS, DLP, IAM, and cloud security tools. - Hands-on experience in malware analysis, memory forensics, and log analysis. - Strong understanding of network protocols, secure configurations, and common attack techniques (MITRE ATT&CK). - One or more of the following certifications: OSCP, GCIA, GCIH, CEH, CompTIA Security+, CompTIA Cysa, CISSP, Security Blue Team L1/L2. - Familiarity with cloud environments (AWS, Azure, GCP) and container security. Additional Information: At our company, we are committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.,

Role Overview: As a Predictive Modelling Specialist, your role will involve strategically developing and implementing advanced predictive models to forecast key metrics such as sales performance, customer behavior, and operational efficiency. You will expertly analyze complex datasets to uncover valuable patterns, trends, and correlations that inform and shape business strategies. Utilizing cutting-edge analytics, you will identify and capitalize on opportunities for enhancing operational processes, optimizing resource allocation, and driving cost efficiency. Additionally, you will provide insightful, data-driven recommendations to support commercial initiatives, including pricing strategies, market segmentation, and demand forecasting. Your responsibilities will also include designing and producing clear, compelling visualizations and reports to effectively communicate findings and predictions to stakeholders, demonstrating excellent presentation skills. Collaboration with commercial, operational, and technical teams will be essential to understand business challenges and deliver actionable insights that drive success. You will continuously monitor, validate, and refine predictive models to ensure their accuracy and relevance, staying abreast of industry advancements. Leveraging your domain expertise, you will serve as a knowledgeable consultant, guiding and advising on best practices to ensure alignment with business goals and strategies. Key Responsibilities: - Develop and implement advanced predictive models for forecasting key metrics. - Analyze complex datasets to uncover valuable patterns, trends, and correlations. - Identify and capitalize on opportunities for enhancing operational processes and optimizing resource allocation. - Provide data-driven recommendations to support commercial initiatives. - Design and produce clear, compelling visualizations and reports for effective communication. - Collaborate with commercial, operational, and technical teams to deliver actionable insights. - Continuously monitor, validate, and refine predictive models to ensure accuracy and relevance. Qualifications Required: - 5+ years of relevant experience in business analytics, consulting that includes predictive analytics, financial planning, data science, or statistical modeling. - Masters degree in Business Studies, Statistics, Operations Research, or related field. - Strong background in financial modeling. - Experience in leading cross-functional teams, fostering data-driven decision-making across commercial, operational, and technical domains. - Strategic Thinking: Ability to connect data insights with business growth strategies, aligning analytics efforts with organizational goals. - Analytical & Problem-Solving: Strong capability in interpreting complex datasets, spotting patterns, and delivering actionable insights.,

You will be working as a Geologist at Mining Tech Consultancy Services Ltd. (MTCS), a consulting firm under the Adani Group focusing on the mining and exploration sector. MTCS offers expertise in various commodities like coal, iron ore, gold, copper, base metals, critical minerals, and rare earth elements (REEs). As a Geologist at MTCS, your key responsibilities will include: - Identification and mapping of coal seams through field surveys and drilling data. - Core logging and lithological description of coal-bearing strata. - Conducting laboratory analysis of coal samples for ash, moisture, sulfur, and calorific value. - Stratigraphic correlation across boreholes and geological sections. - Interpretation of geophysical logs such as gamma-ray, resistivity, and density. - Estimating coal reserves using geological modeling software. - Creating 3D geological models for seam geometry and quality distribution. - Analyzing faults, folds, and seam discontinuities for structural analysis. - Mapping coal deposits and geological features using GIS. - Providing geological input and seam analysis for mine planning. - Assessing hydrogeology for groundwater impact on mining. - Evaluating geotechnical aspects of overburden and roof stability. - Monitoring and ensuring coal quality during extraction. - Preparing geological reports for regulatory compliance. - Contributing to environmental impact assessments and reclamation planning. Qualifications required for this role: - Bachelors Degree in Geology, Applied Geology, Earth Sciences, or related field. - Minimum 12 to 15+ years of relevant work experience in coal exploration and mining geology. (Note: No additional details of the company were present in the job description),

As a Data Analyst with knowledge of Snowflake data warehouse, data infrastructure, ETL implementation, data modelling, and design, your role will involve gathering, viewing, and analyzing data effectively. You will be expected to apply statistical and data analysis techniques to identify patterns, trends, correlations, and anomalies in large datasets. Utilize advanced analytical tools and programming languages (e.g., Python, R, SQL) for exploratory data analysis. Developing and implementing data models to support predictive and prescriptive analytics will be part of your responsibilities. Strong hands-on experience in writing SQLs, both basic and complex, is required, along with good knowledge of the Snowflake cloud data platform. Key Responsibilities: - Connect to data sources, import data, and transform data for Business Intelligence purposes - Create clear and informative visualizations (charts, graphs, dashboards) to present insights to non-technical stakeholders - Develop interactive dashboards and reports using data visualization tools (e.g. Snowsight, Tableau, Power BI) to facilitate data-driven decision-making - Perform Root Cause Analysis by backtracking and conducting deep analysis of issues - Utilize testing and documentation skills effectively Qualifications Required: - Strong exposure to visualization, transformation, data analysis, and formatting skills - Knowledge of the Finance and Accounting domain is desirable - Familiarity with cloud ecosystems is a plus - Effective communication skills for a client-facing role - Ability to be creative and analytical in a problem-solving environment - Adaptability to new environments, people, technologies, and processes - Ability to manage ambiguity and solve undefined problems Please note that only candidates who can join within 15-20 days should apply for this position.,

As a Data Analysis Executive in the IT Services & Digital Marketing domain, you will play a crucial role in enhancing business decisions through data-driven insights. Your responsibilities will involve collecting, analyzing, and interpreting data from various sources to optimize strategies and performance. Here's what you can expect in this role: Key Responsibilities: - Gather data from diverse sources like marketing campaigns, CRM systems, and business operations. - Ensure data accuracy and integrity through regular audits and quality checks. - Maintain a well-organized database for easy access and reporting. - Analyze data to evaluate IT services and digital marketing campaign performance. - Identify trends, patterns, and correlations to enhance business strategies. - Evaluate international market data for identifying opportunities and risks. - Create comprehensive reports and dashboards for stakeholders. - Utilize data visualization tools to make complex data understandable and actionable. - Collaborate with marketing, sales, and IT teams to align data insights with business objectives. - Identify process improvement opportunities and recommend enhancements. - Stay updated on the latest tools, techniques, and industry trends to enhance data analysis capabilities. Qualifications Required: - Educational qualifications with a minimum of 70% marks in 10th, 12th, Graduation, and Post-Graduation. - A degree in Data Analytics, Computer Science, Marketing, or related field is preferred. - 5 years of experience in data analysis for IT services and digital marketing, focusing on international markets. - Proficiency in data analysis tools such as Excel, SQL, Python, or R. - Experience with data visualization tools like Power BI or Tableau. - Strong understanding of digital marketing metrics and IT services KPIs. - Excellent English communication and presentation skills. - Personal attributes include being passionate, smart, and having a positive mindset. - Ability to multitask and meet deadlines in a fast-paced environment. This role will allow you to influence strategic decisions and contribute to the company's success by leveraging data insights in IT services and digital marketing.,