685 Data Presentation Jobs in Dindigul

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

The Data Analyst will be responsible for collecting, cleaning, analyzing, and interpreting large datasets to help drive strategic business decisions. The role involves creating dashboards, reports, and insights that enable cross-functional teams to make data-driven decisions.   Collect, clean, and validate data from multiple sources (databases, APIs, Excel files, etc.). Analyze datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Collaborate with business and technical teams to understand data requirements. Perform data quality checks and ensure data accuracy and consistency. Generate actionable insights and present them to stakeholders through visualizations and presentations. Support data migration, integration, and automation processes. Work closely with the Data Engineering and Business Intelligence teams to improve data pipelines and reporting systems.

As a Customer Data Engineer at our rapidly growing organization, your role is crucial in ensuring data accuracy, consistency, and integrity for customer insights. You will be responsible for building robust data pipelines, supporting customer data needs, and driving high data quality standards. Your passion for data and eagerness to learn will be key in delivering accurate and insightful data to drive business decisions effectively. **Key Responsibilities:** - **Data Pipeline Development**: Design and maintain data pipelines for analytics, BI reporting, and ML models, ensuring data readiness for advanced analytics. - **Advanced SQL Querying & Data Transformation**: Write and optimize complex SQL queries for data extraction, transformation, and analysis from multiple sources. - **Data Quality Assurance & Ownership**: Actively monitor data flows, troubleshoot issues, and ensure reliable, high-quality data for customer insights. - **Documentation & Continuous Improvement**: Document and refine data workflows to enhance processes and quality standards for customer data solutions. - **Cross-functional Collaboration & Communication**: Collaborate with data scientists, analysts, and engineers to support various data requirements and ensure seamless data integration. **Qualifications Required:** - Engineering degree in Computer Science, Data Science, or a relevant technical field. - 3-5 years of experience in analytics engineering or data engineering. - Strong proficiency in SQL, data transformation, and optimization. - Expertise in Python for building pipeline automation, logging, and debugging. - Knowledge of data modeling, schema design, and performance tuning. - Experience with data pipeline and ETL tools (e.g., Airflow, Prefect). - Familiarity with cloud data solutions (e.g., AWS, Azure, Google Cloud). - Exposure to Business intelligence tools (e.g., PowerBI, Tableau, Streamlit/Plotly) for data presentation. - Understanding of data science and machine learning principles and workflows. Joining our team also offers exposure to the Aviation and Maritime domains, connectivity, and content engineering, along with opportunities to work in cross-functional teams. We provide competitive health benefits, generous paid time off, performance-based bonuses, and the chance to collaborate across various teams and organizations.,

As an Analyst at Dun & Bradstreet Technology and Corporate Services India LLP, you will be supporting the Data Science team by working closely with a team based in India and collaborating with Analytics leaders globally to ensure timely deliverables. Key Responsibilities: - Work on a variety of Analytical Solutions including Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting. - Generate Analytical Insights for different customer portfolios. - Develop Predictive Solutions using advanced statistical techniques for improved decision-making. - Apply Machine Learning techniques, NLP, and other data science methodologies to develop new capabilities. - Collaborate with Technology teams to implement analytical solutions and models. - Provide additional analysis to stakeholders based on specific requirements. - Contribute to strategic initiatives focused on LLMs and GenAI. Requirements: - 2 to 5 years of relevant experience in Data Analytics / Data Science roles. - Strong programming skills in Pyspark, Python, and SQL for data manipulation and statistical analysis. - Knowledge of Python packages and experience with GCP / AWS / Databrick. - Sound Knowledge and proven experience in applying Statistical / Machine Learning techniques. - Experience in BFSI domain / Statistical Modelling & Validation is an added advantage. - Ability to interpret and translate data into meaningful business insights. - Working knowledge on LLMs and GenAI would be desirable. - Excellent verbal, written communication, and presentation skills.,

As a Junior Data Analyst, your role involves collecting, cleaning, and analyzing data to support business decisions. You will work under senior analysts to find trends, create reports, and build visualizations using tools like Excel or Tableau. Your key responsibilities include: - Data Collection & Cleaning: Gather data from various sources and perform cleaning and validation to ensure accuracy and integrity for analysis. - Data Analysis: Apply statistical methods to identify trends, patterns, and insights within datasets under the guidance of senior team members. - Reporting & Visualization: Create charts, graphs, and dashboards to present data findings clearly and effectively to stakeholders, using tools like Excel, Tableau, or Power BI. - Database Management: Assist in maintaining and updating data systems and databases to ensure they are organized and accessible. - Collaboration: Work with cross-functional teams, including senior analysts and data scientists, to understand data needs and deliver solutions. - Stakeholder Support: Prepare reports, summaries, and presentations to communicate data insights and support data-driven decision-making processes across the organization. In this role, you will need the following essential skills: - Technical Skills: Proficiency in data visualization tools (e.g., Tableau, Power BI), data analysis software (e.g., Excel, SQL), and statistical methods. - Analytical Skills: Ability to identify data discrepancies, interpret statistical findings, and understand complex datasets. - Communication: Strong written and verbal communication skills to explain technical data concepts to non-technical audiences. - Problem-Solving: Ability to identify data-related challenges and contribute to the formulation of solutions. - Collaboration: A team player who can work effectively with various departments and senior analysts. You will typically use the following tools in your work: - Spreadsheets: Microsoft Excel for data organization and basic analysis. - Business Intelligence Tools: Tableau, Power BI for creating interactive visualizations and dashboards. - Database Languages: SQL for data querying and manipulation. Please note that this is a full-time, permanent position with the work location being in person.,

You will be responsible for supporting the analytics team in collecting, processing, and interpreting data to drive informed decision-making. This role is suitable for individuals who are detail-oriented, curious, and eager to learn data analysis tools and techniques while contributing to ongoing projects. - Gather, clean, and validate large datasets from multiple sources. - Perform descriptive and exploratory data analysis to identify trends, patterns, and anomalies. - Assist in developing dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. - Support and prepare summary reports for management review. - Collaborate with senior analysts to develop key performance indicators (KPIs) and performance tracking systems. - Maintain data accuracy, integrity, and documentation across projects. - Participate in data quality audits and support automation of repetitive reporting tasks. Qualifications and Skills: - Bachelors degree in Statistics, Economics, Mathematics, Computer Science, or a related field. - Strong analytical and quantitative skills with attention to detail. - Proficiency in MS Excel; familiarity with SQL, Python, or R is an added advantage. - Experience with data visualization tools (Tableau, Power BI, or similar). - Ability to communicate findings clearly through written reports and presentations. - Eagerness to learn and grow within a data-focused environment. Preferred Qualities: - Internship or academic project experience in data analysis or business analytics. - Understanding of database management concepts. - Strong teamwork, problem-solving, and organizational skills.,

As a Data Analyst & Graphic Design Intern at profenaa infotech, you will play a crucial role in combining data analysis and visual storytelling. Working closely with the analytics and creative teams, you will transform data insights into visually engaging reports, dashboards, and marketing materials. **Key Responsibilities:** - Collect, clean, and analyze datasets using tools like Excel, Google Sheets, or SQL - Develop dashboards and visual reports with tools such as Tableau, Power BI, or Google Data Studio - Translate complex data into actionable insights - Design visual content for reports, social media, presentations, and marketing campaigns - Create infographics, charts, and promotional materials - Ensure brand consistency across all visual communications **Qualifications Required:** - Current student or recent graduate in Data Analytics, Graphic Design, Marketing, Business, or related fields - Basic understanding of data analysis tools (Excel, Google Sheets, SQL, or Python is a plus) - Proficiency in Adobe Creative Suite (Illustrator, Photoshop, InDesign) or Canva - Strong visual communication and storytelling skills - Detail-oriented and organized - Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker Studio) is preferred - Knowledge of marketing or social media analytics - Portfolio showcasing both analytical and design work (school projects included) At profenaa infotech, you will gain real-world experience by working on cross-functional projects. You will receive mentorship from experienced professionals in both data and design, building a strong portfolio that combines data-driven analysis and visual design. Successful completion may lead to potential full-time employment. To apply for this position, please submit your resume, cover letter, and a portfolio or sample of past work to the provided contact details. Please note the benefits include cell phone reimbursement, health insurance, and paid time off. This internship opportunity is for a duration of 6 months, offering both full-time and part-time options. Feel free to reach out for any clarifications or further details.,

Role Overview: In today's fast-paced, data-driven environment, the accuracy and clarity of information are crucial for operational success. As a Data Management Intern at Illumine-i, you will play a pivotal role in ensuring data integrity and automation excellence. By meticulously collecting and maintaining equipment data, you will lay the foundation for informed decision-making across teams. Additionally, your contributions to automation release documentation will streamline adoption, reduce errors, and enhance transparency, directly supporting the efficiency and scalability of operations. Your work will make you a key enabler of innovation and reliability within the organization. Key Responsibilities: - Data consolidation: Collecting and organizing information into actionable items, reports, and presentations. - Data analysis: Interpreting data, preparing reports, and providing insightful recommendations. - Online market research: Utilizing online resources to gather market information and maintaining a comprehensive database. - Statistical analysis: Compiling and analyzing statistical data using both modern and traditional methods. - Email management: Handling email communications efficiently and effectively. Qualification Required: - Bachelors degree is preferred - Ability to analyze data and identify issues - Proficiency in modifying data into necessary formats - Good documentation skills - Experience with spreadsheets (MS Office Word, Excel, etc.) - Strong command of English, both oral and written - Great attention to detail - Team player,

As a Treasury Data Engineer at Epergne Solutions, you will play a key role in the data squad within the Treasury Data & Analytics team. Your responsibilities will include: - Contributing to the development and maintenance of a common finance data model for GCFO, ensuring centralized control and application of policies. - Designing and implementing an optimized finance data architecture with straight-through processing (STP) to enable future initiatives like self-service business product portals for analytics. - Implementing a data governance model that encompasses policies, procedures, and business data ownership. - Monitoring and managing data quality through the Data Quality Management System (DQMS) and Issue Management Resolution process (IMR). - Leveraging self-service data modeling capabilities with AI functionalities. - Ensuring a standardized and rationalized set of analytics are accessible on the Treasury Landing Page with a persona-driven UI/UX. Qualifications required for this role include: - Demonstrated track record in data management and/or data operating model execution within transformation projects. - Minimum of 6 years of overall work experience with at least 2 years in relevant data management. - Proactive, independent, and initiative-driven work approach. - Strong communication and presentation skills. - Consistent high performance aligning with the core values of the organization. - High levels of energy, drive, and willingness to work hard. - Attention to detail with a pragmatic team player mindset. - Hands-on experience in data management and operating models within Tier 1 Banks. - Proficiency in SAP products for planning and outlook, including SAP HANA Cloud, Datasphere, and SAP Analytics Cloud. - Strong experience in SQL, Python, or Scala. - Familiarity with ETL tools, data pipeline frameworks, and cloud-based data solutions such as AWS, BigQuery, or Azure. - Knowledge of API integrations, real-time data processing, and automation. - Experience in data governance, security, compliance reporting, and financial risk management. - Ability to bridge business requirements with technical solutions. - Familiarity with financial reporting, regulatory compliance, audit processes, and machine learning models for treasury forecasting. Join Epergne Solutions as a Treasury Data Engineer and contribute to the growth and success of the Treasury Data & Analytics team.,

Role Overview: As a BI Data Analyst/Specialist 3 with 6-9 years of experience, you will be responsible for conducting consultative analytics and creating executive-level recommendations for business partners and line finance. Your role involves providing a broad range of ad hoc analytical support, critical for driving business planning and decision-making processes. Key Responsibilities: - Providing analyses and strategic recommendations to team, management, and business partners - Synthesizing data, analyses, and conclusions into self-service dashboards or presentations for senior management - Finding opportunities to streamline work processes for improved efficiency and effectiveness - Proactively partnering and communicating with business and Finance partners - Using tools and business knowledge to continuously provide insightful information, reporting, and analytics that adapt with changes in the business - Collaborating with the business to understand investment opportunities and provide cost-benefit analyses to support decision-making - Contributing to the finance community with energy, enthusiasm, and team spirit Qualifications Required: - Expertise and significant experience in Data Analytics and modeling, including predictive modeling and time series forecasting, preferably in workforce optimization area - Outstanding analytical and problem-solving skills, capable of working through ambiguous requests from concept to delivery independently - Translate research findings and quantitative analyses into accessible visuals for non-technical audiences, offering a clear interpretation of data and communicating recommendations effectively - Willingness and ability to learn new tools and technologies as required - Ability to adapt to shifting priorities while maintaining progress on regularly scheduled work - Excellent written and verbal communication skills, including the ability to communicate effectively at various levels of the organization, simplifying complex ideas into understandable terms - Intellectually curious with a willingness to ask questions and challenge the status quo for the organization's benefit - Strong interpersonal skills, flexible, and adaptable team player Additional Details: - Work Timings: 1pm to 10pm - Minimum Experience Required: 6 to 9 years - Location Preference: Chennai candidates only Note: Proficiency in Python and the ability to influence senior leaders in the organization are good-to-have skills for this role.,

Role Overview: As a Data Analyst at our leading Multispecialty Hospital in Madurai, you will be responsible for collecting, cleaning, analyzing, and visualizing data to support business decisions and enhance operational efficiency. Your role will involve utilizing technical skills, business acumen, and effective communication to convey insights to various stakeholders. Key Responsibilities: - Collect, clean, and validate large datasets from multiple sources to ensure accuracy and completeness. - Conduct exploratory data analysis to identify trends, patterns, and valuable insights. - Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, and Looker. - Translate data findings into actionable business insights and recommendations. - Collaborate with cross-functional teams to establish key performance indicators (KPIs) and devise data-driven solutions. - Ensure data governance, maintaining data quality and consistency across systems. - Automate repetitive reporting tasks through scripts or analytics tools. - Present findings to management utilizing visualizations, reports, and presentations. Qualification Required: - Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. - Minimum 2 years of experience in data analysis, business intelligence, or a similar role. Company Details: Our organization offers Provident Fund benefits to employees. The work location is in person at our Multispecialty Hospital in Madurai. Note: This job is a full-time position with a negotiable salary and requires at least 1 year of experience.,

As a KYC Data Operations professional at Barclays, you will play a crucial role in shaping the future by managing operations within a specific business area. Your responsibilities will include maintaining processes, managing risk management initiatives, and ensuring compliance with relevant regulators. You will have the opportunity to take ownership of your work, ensuring alignment with rules, regulations, and codes of conduct. Barclays offers competitive benefits and opportunities for career advancement, making it an excellent place to grow your career in the banking industry. Key Responsibilities: - Conduct client due diligence (CDD), enhanced due diligence (EDD), and risk assessments for new and existing clients. - Manage and perform end-to-end onboarding and KYC processes in line with internal standards and regulatory requirements. - Execute periodic reviews of client accounts based on risk ratings and regulatory guidelines. - Investigate and escalate potential AML red flags and suspicious activities in accordance with company policy. Desirable Skills Sets: - Liaise with internal teams (legal, compliance, front office) and external parties to collect and verify documentation. - Maintain accurate and up-to-date client records and ensure timely remediation of KYC gaps. - Contribute to the development and improvement of KYC/AML procedures, checklists, and workflows. - Stay updated on global regulatory developments and assist in implementing necessary changes. As an Assistant Vice President in this role, your expectations will include advising and influencing decision-making, contributing to policy development, and taking responsibility for operational effectiveness. You will lead a team performing complex tasks, set objectives, and coach employees towards achieving them. Additionally, you will demonstrate leadership behaviours such as Listening and being authentic, Energising and inspiring, Aligning across the enterprise, and Developing others. Purpose of the Role: The purpose of this role is to support Private Bank and Wealth Management with day-to-day processing, reviewing, reporting, and issue resolution. Accountabilities: - Support with day-to-day Private Bank and Wealth Management initiatives including processing, reviewing, reporting, and issue resolution. - Support the management of the bank's client relations to identify their needs and provide a service that meets expectations. - Collaborate with teams across the bank to align and integrate Private Bank and Wealth Management processes. - Identify areas for improvement and provide recommendations for change in Private Bank and Wealth Management processes. - Develop and implement procedures and controls to mitigate risks and maintain operational efficiency. - Develop reports and presentations on performance and communicate findings to internal senior stakeholders. - Identify industry trends and developments to implement best practices in Private Bank and Wealth Management Services. - Participate in projects and initiatives to improve efficiency and effectiveness. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

Role Overview: You will be joining Chargeback Gurus as a Senior Manager - Data Strategy & Insights, where you will play a crucial role in shaping the company's data strategy to enable data-driven decisions that impact revenue, client experience, and operational efficiency. This individual contributor role requires a blend of strategic thinking, technical expertise, and leadership skills, with a focus on MIS architecture, data visualization, and automation frameworks. Key Responsibilities: - Conduct data analysis on large and complex datasets related to financial transactions, customer behavior, chargeback trends, and risk assessment. - Identify patterns, correlations, and trends to enhance fraud prevention and operational efficiency. - Provide data analysis to support stakeholders in making informed business decisions. - Visualize key performance indicators (KPIs) for executive leadership and collaborate with data engineering teams for seamless integration with organizational data warehouses. - Utilize data visualization tools like PPT, Tableau, Power BI, QuickSight to transform complex data into intuitive visual representations. - Design interactive dashboards and reports for stakeholders to explore data and gain insights through dynamic filters and drill-down capabilities. - Interpret complex concepts into easy-to-understand graphs, charts, and visual graphics. - Collaborate with Sales, Operations, Finance, and Product teams to translate data insights into effective business strategies. - Support the Sales team with insights on ROI, revenue optimization, and market trends. - Work with IT teams to enhance data governance and security protocols. - Evaluate and optimize MIS processes for operational efficiency. - Implement data analytics solutions to improve forecasting and fraud detection. - Ensure data accuracy, completeness, and consistency in various datasets used for analysis. - Stay updated on the latest trends in data analysis, machine learning, and the chargeback industry to share insights with the team for continuous improvement. Qualifications: - Bachelors/Masters degree in Commerce and Business Administration with a specialization in Data Analytics and Reporting. - Proficiency in SQL, VBA, and data visualization tools like Power BI, Tableau, QuickSight. - Experience in automating reporting and dashboarding. - Strong command of MS Excel, PowerPoint, and Word for data interpretation and presentations. - Problem-solving skills to derive actionable insights from complex data. - Certifications in Six Sigma, PMP, or Lean would be advantageous. - Strong leadership and communication skills to present technical insights to non-technical audiences. - Ability to work in UK/US time zones (IST shifts between 3 PM - 12 AM).,

As an experienced Analytics professional, your role will involve designing, developing, and maintaining business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel to support sales performance tracking. You will analyze complex datasets using SQL and Python to extract insights that will drive sales strategies and operational improvements. Your responsibilities will also include leading the development of accurate and timely sales forecasts, collaborating with cross-functional teams to align business objectives with data-driven decision-making, and communicating key performance trends and insights to stakeholders through structured presentations and reports. Additionally, you will identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership, and support ad hoc analytical requests while contributing to strategic business initiatives. Key Responsibilities: - Design, develop, and maintain business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel - Analyze complex datasets using SQL and Python to drive sales strategies and operational improvements - Lead the development of accurate and timely sales forecasts and contribute to sales planning activities - Collaborate with cross-functional teams to align business objectives with data-driven decision-making - Communicate key performance trends and insights to stakeholders through structured presentations and reports - Identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership - Support ad hoc analytical requests and contribute to strategic business initiatives Qualifications Required: - 4+ years of relevant experience in Analytics - Advanced proficiency in SQL and Python - Data Visualization skills using Tableau, Google Data Studio, and Excel - Strong grasp of statistical concepts and their application in business scenarios - Demonstrated experience in sales planning and forecasting is an advantage - Excellent interpersonal and stakeholder management skills, with the ability to work effectively across teams - Strong problem-solving abilities and attention to detail This job opportunity is with Indium Software, a company known for its expertise in software testing services and solutions. As an experienced Analytics professional, your role will involve designing, developing, and maintaining business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel to support sales performance tracking. You will analyze complex datasets using SQL and Python to extract insights that will drive sales strategies and operational improvements. Your responsibilities will also include leading the development of accurate and timely sales forecasts, collaborating with cross-functional teams to align business objectives with data-driven decision-making, and communicating key performance trends and insights to stakeholders through structured presentations and reports. Additionally, you will identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership, and support ad hoc analytical requests while contributing to strategic business initiatives. Key Responsibilities: - Design, develop, and maintain business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel - Analyze complex datasets using SQL and Python to drive sales strategies and operational improvements - Lead the development of accurate and timely sales forecasts and contribute to sales planning activities - Collaborate with cross-functional teams to align business objectives with data-driven decision-making - Communicate key performance trends and insights to stakeholders through structured presentations and reports - Identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership - Support ad hoc analytical requests and contribute to strategic business initiatives Qualifications Required: - 4+ years of relevant experience in Analytics - Advanced proficiency in SQL and Python - Data Visualization skills using Tableau, Google Data Studio, and Excel - Strong grasp of statistical concepts and their application in business scenarios - Demonstrated experience in sales planning and forecasting is an advantage - Excellent interpersonal and stakeholder management skills, with the ability to work effectively across teams - Strong problem-solving abilities and attention to detail This job opportunity is with Indium Software, a company known for its expertise in software testing services and solutions.

As a member of the Data Management Center of Excellence at DTCC, you will play a crucial role in supporting the leadership team to establish, mature, and scale the CoE, as well as drive the implementation of industry-leading data management practices. Your ability to prioritize, own and drive projects, quickly learn new concepts and frameworks, work in a fast-paced environment, and adapt to shifting priorities will be key to your success in this role. You will be responsible for providing critical support for the management of information domains across the enterprise and supporting enterprise-wide data management initiatives. **Key Responsibilities:** - Participate in preliminary data analysis for new projects - Collaborate with business and operational partners to analyze data and produce business data element names - Engage with domain experts to understand and document business requirements for data - Assist data modelers in producing conceptual and logical data models - Input and handle required metadata for critical data elements in the enterprise metadata repository - Support data quality through data profiling, defining data quality rules, and supporting data cleansing efforts - Assist the Data Steward with project planning, identification of resource requirements, and effort estimation - Independently manage assigned projects across the life cycle - Develop and deliver high-quality presentations to partners and leadership - Participate as a core member of agile squads, including attending daily stand-up and grooming sessions, documenting user stories, and tracking project metrics In addition to the responsibilities mentioned above, you will play a key role in bridging the gap between IT and the business, accessing, profiling, and analyzing data, understanding and documenting business requirements, and communicating effectively with technical and business stakeholders. **Qualifications:** - Minimum 4 years of related experience - Bachelor's degree preferred or equivalent experience **Talents Needed for Success:** - Solid grasp of data management processes and standard methodologies - Excellent written and verbal communication skills - Excellent analytical and quantitative skills - Proficiency with Microsoft Office tools required; experience with data management tools (e.g. Collibra) and business process tools (e.g. Mega HOPEX) preferred - Basic technical skills required, including the ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus,

As an Analyst at Dun & Bradstreet Technology and Corporate Services India LLP, you will be joining a global team dedicated to leveraging the power of data through analytics to create a better tomorrow. Your role will involve working closely with the Data Science team to support a range of analytical solutions and generate insights on customer portfolios. Key Responsibilities: - Work across a range of Analytical Solutions including Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting. - Generate Analytical Insights on various customer portfolios. - Develop Predictive Solutions using advanced statistical techniques for better decision making. - Utilize the latest data science techniques in supervised and unsupervised machine learning methodologies, NLP, and new capability development. - Collaborate with Technology teams to implement analytical solutions and models. - Provide additional analysis based on stakeholder-specific needs. - Contribute to strategic initiatives focused on LLMs and GenAI. Qualifications Required: - 2 to 5 years of relevant experience in Data Analytics/Data Science roles. - Strong programming skills in tools like Pyspark, Python, and SQL for data manipulation and statistical analysis. - Knowledge of Python packages and GCP/AWS/Databricks. - Sound knowledge and experience in applying Statistical/Machine Learning techniques. - Experience in BFSI domain/Statistical Modelling & Validation is advantageous. - Ability to interpret and translate data into meaningful business insights. - Working knowledge of LLMs and GenAI would be desirable. - Excellent verbal, written communication, and presentation skills. If you are a bold and diverse thinker passionate about leveraging data for impactful decision-making, Dun & Bradstreet welcomes you to be a part of their team.,

**Job Description:** As a Freelance Data Analytics Trainer at Edukators Pvt Ltd, you will have the opportunity to share your expertise and passion for Data Analysis with eager learners. Your role will involve designing and delivering training content that covers a range of Data Analysis concepts, tools, and techniques. By empowering individuals with the knowledge and skills they need to excel in the field of Data Analysis, you will play a key role in shaping the next generation of data professionals. **Key Responsibilities:** - Develop comprehensive training content for both beginner and advanced learners, focusing on core Data Analysis techniques, tools, and methodologies. - Create hands-on exercises and projects that allow learners to apply their skills in practical scenarios, helping them build confidence and proficiency. - Demonstrate strong expertise in a variety of Data Analysis tools, including but not limited to Advanced Excel, SQL, Python, Tableau, Power BI, and other relevant software. **Qualifications Required:** - A minimum of 2 years of experience in the field of Data Analysis. - Proficiency in Data Analysis tools such as Advanced Excel, SQL, Python, Tableau, Power BI, etc. - Excellent communication and presentation skills to effectively convey complex concepts to learners. - A passion for teaching and mentoring others in the field of Data Analysis.,

As a Solutions Architect, your primary focus is to ensure the technical integrity of the Event Driven Architecture platform and to formulate the technical direction for the strategic cloud investments. You will drive the estimation, analysis, and design, as well as support implementation and operations of a slew of microservices owned by the team. Working closely with the senior tech and business leadership, engineering, and ops teams, you will drive the vision and the technical strategic objectives throughout the SDLC. It is essential for you to remain current in all Parcel and Logistics related technologies in support of enterprise applications and infrastructure. Your passion for technology and thirst for innovation will play a crucial role in shaping the future of digital transformation. Responsibilities: - Analyze, design, and lead technical solutions fulfilling core business requirements in the migration journey from legacy messaging solution to Confluent Kafka in AWS platform. Consider solution scalability, availability, security, extensibility, maintainability, risk assumptions, and cost considerations. - Actively participate in proof-of-concept implementation of new applications and services. - Research, evaluate, and recommend third-party software packages and services to enhance digital transformation capabilities. - Promote technical vision and sound engineering principles among technology department staff members and across the global team. - Occasionally assist in production escalations, systems operations, and problem resolutions. - Assist team members in adopting new Kafka and real-time data streaming solutions. Mentor the team to remain current with the latest tech trends in the global marketplace. - Perform and mentor conceptual, logical, and physical data modeling. - Drive the team to maintain semantic models. - Guide teams in adopting data warehousing, data lakes, and data mesh architectures. - Drive process, policy, and standard improvements related to architecture, design, and development principles. - Assist business leadership in prioritizing business capabilities and go-to-market decisions. - Collaborate with cross-functional teams and business teams as required to drive the strategy and initiatives forward. - Lead architecture teams in digital capabilities and competency building, mentoring junior team members. Qualifications: - 15+ years of software engineering experience with 5+ years in hands-on architecture roles. - Ability to define platform strategy, target state architecture, and implementation roadmaps for enterprise-scale applications to migrate to Kafka. - Proven hands-on architecture and design experience in Microservice architecture and Domain Driven Design concepts and principles including 12-factor app and other enterprise design patterns. - Establish enterprise architectural blueprints and cloud deployment topologies. - Highly experienced in designing high traffic services serving 1k+ transactions per second or similar high transaction volume distributed systems with resilient high-availability and fault-tolerance. - Experience in developing event-driven, message-driven asynchronous systems such as Kafka, Kinesis, etc. - Experience in AWS services such as Lambdas, ECS, EKS, EC2, S3, DynamoDB, RDS, VPCs, Route 53, ELB. - Experience in Enterprise Java, Springboot ecosystem. - Experience with Oracle Databases, NoSQL DBs, and distributed caching. - Experience with Data Architecture, Data Modeling, Data Lake, and Data Mesh implementations. - Extensive experience implementing system integrations utilizing API gateways, JSON, Avro, and XML libraries. - Excellent written, verbal, presentation, and process facilitation skills. - AWS architecture certification or equivalent working expertise with the AWS platform. - B.S. or M.S. in computer science or a related technical area preferred. Please note that this position is based out of GDC in Chennai, India, and occasional travel to Belgium might be required for business interactions and training.,

Role Overview: You will be joining our dynamic team as a highly skilled Senior Data Analyst with 8-10 years of experience. Your main responsibility will be to utilize your expertise in data analysis, visualization, and business intelligence to support data-driven decision-making across the organization. By transforming data into actionable insights, you will drive business strategies and improve operational efficiency. Key Responsibilities: - Collect, clean, integrate, and manage data from multiple sources to build a comprehensive data landscape. - Ensure data accuracy, validation, and reliability through rigorous quality checks. - Conduct exploratory and in-depth data analysis to identify trends, patterns, and anomalies. - Provide solutions to specific business challenges by using statistical techniques and advanced data analysis. - Design, develop, and maintain interactive dashboards and reports using Power BI, making data accessible and actionable. - Customize reports based on business needs and ensure that visualizations are user-friendly and insightful. - Interpret data findings to generate actionable insights and recommendations that align with business objectives. - Communicate findings clearly to both technical and non-technical stakeholders. - Collaborate with cross-functional teams to meet data needs and drive business growth. - Serve as a data expert, guiding teams on best practices for data analysis and reporting. - Document data sources, transformations, and reporting processes. - Implement data quality checks and address data integrity issues by collaborating with relevant teams. - Mentor junior analysts and provide guidance on analytical tools, techniques, and best practices. - Lead cross-functional projects that require advanced analytical expertise. Qualification Required: - Education: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Experience: 8-10 years of experience in data analysis, business intelligence, or a related field. - Proven experience with data visualization tools (Power BI, Tableau) and data querying languages (SQL, Python). - Strong proficiency in Power BI, including DAX and Power Query for creating interactive dashboards. - Experience in building reports in Business Objects (SAP BO). - Advanced knowledge of SQL for querying and managing large datasets. - Experience with Python for data manipulation and advanced analytics. - Knowledge of ETL processes and tools for data integration and transformation. - Experience in Tableau reporting is an advantage. - Familiarity with cloud platforms like Azure and experience with data warehouses and data lakes. - Soft Skills: Excellent analytical and problem-solving skills, strong communication and presentation skills, ability to work independently, manage multiple projects, and collaborate across teams. Additional Details: This role provides an opportunity to influence key business decisions through advanced data analysis, reporting, and a collaborative approach. Join us in driving impactful changes and supporting the growth of our data-driven initiatives.,