1,663 Data Analyst Jobs in Ahmedabad

We are seeking a talented and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst,you will be responsible for interpreting data, analyzing results, and providing actionable insights to driveinformed decision-making across the agency. You will work closely with stakeholders to understand theirdata needs, develop analytical solutions, and present findings in a clear and concise manner. ResponsibilitiesCreate visually appealing and interactive dashboards, reports, and presentations.Communicate findings and recommendations to stakeholders using data visualization tools.Collaborate with cross-functional teams to design and deliver actionable insights.Partner with business units to define key performance indicators (KPIs) and metrics.Analyze business processes and operations to identify opportunities for improvement.Provide decision support through ad-hoc analysis and scenario modeling. Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.Master's degree preferred.Work Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills- Knowledge of machine learning and data mining techniques is desirable.for more clarification contact to this number- 9266704661 Also Share Your CV -harsheeta.hs1987@gmail.com RegardsHR Placement Team

Role Overview: You will be responsible for creating, maintaining, and updating study-specific documents such as Data Management Plan, Data Validation Plan, study-specific procedures, and data reconciliation plan. Additionally, you will design Case Report Forms for paper and EDC studies, perform data entry in the database, coordinate with other study team members for data management tasks, and ensure data integrity by creating and testing UAT data in the study database. Key Responsibilities: - Train clinical sites on using the study-specific database for EDC studies - Identify and resolve data discrepancies through computerized and manual checks - Perform Quality Review of live data and apply level 1 corrections to the database - Generate queries, update and verify received DCFs and Ex-DCFs - Handle external data, perform external data reconciliation, and resolve related queries - Reconcile Serious Adverse Events (SAE) and resolve SAE queries - Perform Medical Coding of terms reported on Case Report Form - Adhere to Standard Operating Procedures, work procedures, and project scope to ensure quality - Maintain documentation of training and collaborate with other project team members such as the External team, Programmer, Statistician, Monitor, and CRA - Conform to the training schedule, maintain awareness of SOP content in the Data Management team, and comply with company requirements Qualifications Required: - Master's degree preferred - Minimum of 1 year of total work experience required Company Details: No additional details of the company were mentioned in the job description. Note: This is a full-time, permanent position located in Ahmedabad. Health insurance and Provident Fund benefits are provided. Applicants are required to answer specific application questions regarding relocation to Ahmedabad and previous experience in Clinical Data Management. The work location is in person.,

As a Senior Executive in Data Research at our company, your role will involve a strong understanding of end-to-end primary research processes, including study design, questionnaire development, survey execution, and data validation. You should be able to interpret data and generate actionable insights aligned with business and brand strategy. Your expertise in quantitative and qualitative methodologies, especially in real-time studies, will be essential. Exposure to shopper research and various study types like U&A, brand health, and concept testing will be beneficial. You must be skilled in developing and presenting topline summaries and insight decks customized for different stakeholders. Your effective communication skills will be crucial in engaging with clients and internal teams to align on research design, objectives, and outcomes. Your responsibilities will include designing and executing custom research projects, analyzing raw datasets to identify key trends, and converting findings into clear, actionable insights. You will coordinate with field teams, tech teams, and clients to ensure smooth data collection and timely delivery of output. Adapting research tools to meet evolving project requirements, supporting proposal development, costing, feasibility checks, and project timelines are also part of your responsibilities. You will be expected to translate client briefs into practical and efficient research designs and interpret business implications from the findings. To excel in this role, you should have 12 years of hands-on experience in primary market research, preferably in CPG/FMCG sectors. Strong proficiency in Excel and PowerPoint for data interpretation and presentation creation is required. Familiarity with analytical tools such as SPSS, Tableau, Power BI is an added advantage. Excellent analytical skills, attention to detail, strong communication, storytelling, and presentation abilities are essential. You must also demonstrate the ability to manage multiple projects simultaneously and meet timelines effectively. The company is looking for a full-time Senior Executive in Data Research to work in person at the Ahmedabad location.,

As a Merchant Banker / Key Managerial Personnel (KMP) at Indira Securities Pvt Ltd, you will be responsible for providing financial advisory, capital raising, M&A support, and corporate structuring services while ensuring regulatory compliance. Key Responsibilities: - Assist in IPOs, rights issues, and private placements for capital raising. - Conduct due diligence, valuations, and deal structuring for mergers & acquisitions. - Manage securities underwriting and syndication for underwriting purposes. - Guide clients on financial strategies, joint ventures, and compliance for corporate advisory. - Ensure adherence to SEBI regulations and mitigate transaction risks for risk & compliance. - Build strong networks with investors, clients, and regulators for relationship management. - Stay updated on financial trends and competitor insights for market analysis. Qualifications Required: - MBA in Finance, CFA, CA, CS, or CWFA preferred. In addition to the above responsibilities and qualifications, Indira Securities Pvt Ltd is a company that values expertise in capital markets, investment banking, and regulatory frameworks such as SEBI and Companies Act. Please note that the compensation package for this position will be as per the company norms. Thank you for your interest in joining Indira Securities Pvt Ltd. Regards, Team HR | Indira Securities Pvt Ltd,

Role Overview: You will be responsible for developing generative AI use cases and deploying machine learning models. Additionally, you will build and maintain private cloud infrastructure for AI/ML solutions, automate workflows to improve system performance, and collaborate with teams to analyze and deliver AI application requirements. Your role will also involve ensuring the security, scalability, and efficiency of cloud infrastructure. Key Responsibilities: - Develop generative AI use cases and deploy machine learning models - Build and maintain private cloud infrastructure for AI/ML solutions - Automate workflows to improve system performance - Collaborate with teams to analyze and deliver AI application requirements - Ensure security, scalability, and efficiency of cloud infrastructure Qualifications Required: - Bachelor's degree in computer science or related field - Expertise in AWS, Databricks, Azure, and Python - Experience with containerization (Docker, Kubernetes) and cloud-native tools (e.g., AWS Lambda) - Familiarity with data pipelines, ETL, and distributed computing - Knowledge of infrastructure-as-code tools like Terraform or Azure Resource Manager Additional Company Details: Amneal is an equal opportunity employer that fosters a workplace valuing diversity and inclusion. They do not discriminate based on caste, religion, gender, disability, or any other legally protected status.,

As a part of SculptSoft, you will be joining a team that values talent, professional growth, work-life balance, and recognition of achievements. We believe in fostering individual uniqueness and providing the necessary support for personal and professional development. Our commitment to creating a positive work environment is reflected in our 5-day work week policy and emphasis on maintaining a healthy work-life balance. Key Responsibilities: - Devote time to get into the zone for optimal performance - Receive required training and guidance from experts - Celebrate individual achievements and contributions - Participate in periodic training sessions - Maintain a healthy work-life balance with scheduled work hours Qualifications Required: - Strong technical skills and expertise - Previous experience in the relevant field (specified in each job opening) - Willingness to learn and grow professionally - Ability to work collaboratively with the team and experts - Commitment to achieving goals and contributing to the success of the company SculptSoft offers a range of employee benefits including medical insurance, competency development, career advancement opportunities, appreciations and rewards, flexible time, referral bonuses, cultural events, and sports activities. Our open-door policy encourages communication and feedback, while our focus on competency development ensures ongoing learning from industry experts. If you are looking to be a part of a dynamic team that values your skills and contributions, explore our current openings for positions such as WordPress Developer, Business Development Associate, Content Writer, Senior Python Engineer, Project Manager, QA Automation Engineer, Data Engineer, Data Scientist, Senior Backend Engineer, QA Engineer, Senior Data Engineer, Senior DevOps Engineer, Xamarin Developer, and Senior .Net Developer. Join us on the SculptSoft voyage and let us build a successful future together!,

Role Overview: You will be joining the team at Growexx as an EMS Data Analyst (Manual Support). Your main responsibility will be to ensure the accurate and timely import of EMS data into the NEMSIS database. This will involve working with EMS data from various sources, including electronic Patient Care Reports (ePCRs) and other EMS data systems. Your focus will be on maintaining data quality, troubleshooting issues, and performing manual data entry or manipulation as necessary to ensure data integrity and compliance with NEMSIS standards. Key Responsibilities: - Monitor data submissions from EMS agencies and identify any issues with data quality or formatting - Manually review ePCR data to ensure compliance with NEMSIS data standards and identify errors - Perform data entry and data manipulation tasks as needed to correct errors or format data for import - Work with EMS agencies to resolve data quality issues and improve data collection practices - Document all data entry and quality assurance activities - Implement and maintain data quality checks and validation processes - Identify trends and patterns related to data errors or inconsistencies - Assist in developing and implementing data quality improvement plans - Assist in data analysis and generating reports to support quality improvement initiatives and operational decisions - Help develop and maintain data dashboards and visualizations - Respond to data requests from internal and external stakeholders - Maintain a strong understanding of the NEMSIS data standard and ensure ongoing compliance - Stay updated on NEMSIS changes, updates, and best practices - Assist with training EMS staff on data collection and NEMSIS requirements - Work closely with EMS agencies, data managers, and other stakeholders to ensure seamless data flow and data quality - Communicate data-related issues and findings effectively to both technical and non-technical audiences Qualification Required: - Certification In Healthcare Data Analytics Or Related Field - 3+ years' experience With Data Visualization Tools (E.g., Tableau, PowerBI) - Experience In Database Management Additional Details: You will need to have strong analytical and problem-solving skills, attention to detail, and a commitment to data accuracy. Proficiency in data manipulation and analysis tools such as Excel and SQL is essential. Excellent communication and interpersonal skills are also required, along with the ability to work both independently and as part of a team. Knowledge of EMS operations, patient care, and medical terminology would be a plus. Additionally, you should possess good logical reasoning and analytical skills, the ability to break big goals into small incremental actions, excellent communication and collaboration skills, ownership and accountability of work, attention to details, self-criticism, and a positive and cheerful outlook in life. Role Overview: You will be joining the team at Growexx as an EMS Data Analyst (Manual Support). Your main responsibility will be to ensure the accurate and timely import of EMS data into the NEMSIS database. This will involve working with EMS data from various sources, including electronic Patient Care Reports (ePCRs) and other EMS data systems. Your focus will be on maintaining data quality, troubleshooting issues, and performing manual data entry or manipulation as necessary to ensure data integrity and compliance with NEMSIS standards. Key Responsibilities: - Monitor data submissions from EMS agencies and identify any issues with data quality or formatting - Manually review ePCR data to ensure compliance with NEMSIS data standards and identify errors - Perform data entry and data manipulation tasks as needed to correct errors or format data for import - Work with EMS agencies to resolve data quality issues and improve data collection practices - Document all data entry and quality assurance activities - Implement and maintain data quality checks and validation processes - Identify trends and patterns related to data errors or inconsistencies - Assist in developing and implementing data quality improvement plans - Assist in data analysis and generating reports to support quality improvement initiatives and operational decisions - Help develop and maintain data dashboards and visualizations - Respond to data requests from internal and external stakeholders - Maintain a strong understanding of the NEMSIS data standard and ensure ongoing compliance - Stay updated on NEMSIS changes, updates, and best practices - Assist with training EMS staff on data collection and NEMSIS requirements - Work closely with EMS agencies, data managers, and other stakeholders to ensure seamless data flow and data quality - Communicate data-related issues and findings effectively to both technical and non-technical audiences Qualification Required: - Certification In Healthcare Data Analytics Or Related Field - 3+ years' experience With Data Visualization Tools (E.g., Tableau,

As a Coordinator for EPC functions at a company in Ahmedabad, Gujarat, India, your role involves managing activities across PAN India locations to ensure timely execution and alignment with stakeholders. Your responsibilities include: - Analyzing project data to identify trends, risks, and performance gaps. - Developing and maintaining dashboards and reports using tools like Excel, Power BI, or Tableau for real-time project tracking. - Collaborating with cross-functional teams to support data-driven decision-making and improve operational efficiency. - Ensuring data accuracy, consistency, and integrity across systems and project documentation. - Supporting forecasting, cost analysis, and resource planning through advanced data modeling. - Presenting insights and recommendations to senior stakeholders to enhance project execution and strategic planning. No additional details about the company were provided in the job description.,

As an Analyst II, Data Assurance, Finance (Data Assurance Analyst) at our company, you will play a crucial role in internal controls testing for various systems utilized by Global Cash Management across multiple locations in India, Singapore, UK, and US. Reporting to the Manager, Internal Controls Testing, Finance, your responsibilities will include developing and executing test plans, performing manual and automated testing, reviewing change requests, collaborating with development teams, supporting the preparation of the monthly SOX Report, participating in regulatory exams and audits, contributing to continuous improvement, and conducting risk assessments. Key Responsibilities: - Develop and execute test plans for various system applications. - Perform manual and automated testing as part of control testing. - Review application and system change requests for adequacy. - Collaborate with development teams on understanding the impact of changes. - Support the preparation of the monthly SOX Report. - Participate in regulatory exams and audits. - Contribute to the continuous improvement culture. - Collaborate with other departments within Finance, Technology, Risk, Compliance, Legal, and Treasury. - Conduct risk assessments on existing controls and new initiatives. - Create awareness programs on internal controls and compliance. Qualifications: - Bachelor's degree in Accounting or Finance. - 2-4 years of experience in internal controls testing/auditing or IT audit. - Experience in the banking industry is preferred. - Strong knowledge of SAP and Oracle EBS applications. - Excellent analytical skills with attention to detail. - Effective verbal and written communication skills. - Ability to manage multiple projects and meet tight deadlines. - Strong problem-solving skills to identify root cause issues. - Good interpersonal skills to interact with all levels of employees. The location for this role is Ahmedabad at Venus Stratum GCC.,

As a Lead Data Engineer specializing in Snowflake, your role will involve designing, developing, and optimizing data pipelines using Snowflake and ELT/ETL tools. You will be responsible for architecting, implementing, and maintaining data warehouse solutions to ensure high performance and scalability. Your expertise will be crucial in designing efficient database schemas and data models to cater to business requirements. Additionally, you will be writing and optimizing complex SQL queries for data processing and reporting, while also developing data transformation scripts using Python, C#, or Java to automate processes. Ensuring data integrity, security, and governance throughout the data lifecycle will be a key aspect of your responsibilities. Moreover, you will be expected to analyze, troubleshoot, and resolve data-related issues at different levels and collaborate with cross-functional teams to deliver data-driven solutions. Key Responsibilities: - Design, develop, and optimize data pipelines using Snowflake and ELT/ETL tools. - Architect, implement, and maintain data warehouse solutions with a focus on performance and scalability. - Create efficient database schemas and data models to meet business needs. - Write and optimize complex SQL queries for data processing and reporting. - Develop data transformation scripts using Python, C#, or Java for process automation. - Ensure data integrity, security, and governance at all stages of the data lifecycle. - Analyze and resolve data-related issues at tactical, functional, and strategic levels. - Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Qualifications (Must Have): - Strong experience with Snowflake. - Deep understanding of transactional databases, OLAP, and data warehousing concepts. - Proficiency in designing database schemas and data models. - Proficiency in Python, C#, or Java. - Strong problem-solving and analytical skills. In addition to the required qualifications, it would be beneficial to have: - Snowpro Core or Snowpro Advanced certificate. - Experience in cost/performance optimization. - Client-facing experience with a good understanding of business needs. - Ability to work collaboratively in a team environment. Please note that the company offers perks such as flexible timings, 5 days working week, a healthy work environment, celebration events, opportunities for learning and growth, building a community, and medical insurance benefits.,

As a Business Analyst at Career Bloc, your role involves leading requirements gathering with crossfunctional stakeholders to convert business needs into clear user stories and acceptance criteria. You will be responsible for analyzing transactional and product data to identify trends, root causes, and growth opportunities, as well as building actionable dashboards and reports for leadership. Additionally, you will map, document, and optimize end-to-end business processes and workflows to reduce cycle time and improve SLA compliance. Your responsibilities will also include coordinating and executing UAT and regression testing, validating deliverables against acceptance criteria, and tracking defects to closure. Supporting backlog prioritization and sprint planning with product and engineering teams to ensure feature releases meet business objectives and quality standards is also a key aspect of your role. Furthermore, you will produce functional documentation including process flows, requirement traceability, release notes, and KPI definitions to maintain alignment across teams. Key Responsibilities: - Lead requirements gathering with crossfunctional stakeholders - Analyze transactional and product data to identify trends and growth opportunities - Map, document, and optimize end-to-end business processes and workflows - Coordinate and execute UAT and regression testing - Support backlog prioritization and sprint planning - Produce functional documentation including process flows and KPI definitions Qualifications Required: Must-Have: - SQL - Advanced Excel - Power BI - Jira - Confluence - Process mapping Preferred: - Product analytics tools (Amplitude or Mixpanel) - Tableau - CBAP or Lean Six Sigma certification In addition to the above qualifications, the ideal candidate for this role should have: - 4+ years of hands-on experience in business analysis, product analysis, or process improvement (SaaS/HRtech preferred) - Strong stakeholder management skills and experience in running UAT or regression test cycles - Bachelor's degree in business, engineering, analytics, or related field (or equivalent experience) At Career Bloc, you will have the opportunity to work on-site with high visibility to product and leadership, enabling rapid impact and ownership of key initiatives. You will be part of a collaborative, data-driven culture that offers opportunities for continuous learning and mentorship. Additionally, you can expect competitive compensation, upskilling support, and regular cross-functional collaboration. If you are a detail-oriented, data-driven analyst who enjoys translating business problems into scalable product solutions, we invite you to apply and join our fast-paced team shaping the future of hiring and skills development.,

You are sought by Growexx to join as an EMS Data Analyst (Manual Support) to ensure accurate and timely import of EMS data into the NEMSIS database. Your role involves working with EMS data from various sources, including electronic Patient Care Reports (ePCRs) and other EMS data systems. You will focus on maintaining data quality, troubleshooting issues, and performing manual data entry or manipulation as necessary to ensure data integrity and compliance with NEMSIS standards. - Monitor data submissions from EMS agencies and identify any issues with data quality or formatting - Manually review ePCR data to ensure compliance with NEMSIS data standards and identify errors - Perform data entry and data manipulation tasks as needed to correct errors or format data for import - Work with EMS agencies to resolve data quality issues and improve data collection practices - Document all data entry and quality assurance activities - Implement and maintain data quality checks and validation processes - Identify trends and patterns related to data errors or inconsistencies - Assist in developing and implementing data quality improvement plans - Assist in data analysis and generating reports to support quality improvement initiatives and operational decisions - Help develop and maintain data dashboards and visualizations - Respond to data requests from internal and external stakeholders - Stay updated on NEMSIS changes, updates, and best practices - Assist with training EMS staff on data collection and NEMSIS requirements - Work closely with EMS agencies, data managers, and other stakeholders to ensure seamless data flow and data quality - Communicate data-related issues and findings effectively to both technical and non-technical audiences Key Skills: - Strong analytical and problem-solving skills - Attention to detail and commitment to data accuracy - Proficiency in data manipulation and analysis tools (e.g., Excel, SQL) - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Knowledge of EMS operations, patient care, and medical terminology is a plus Qualification and Experience: - Certification in Healthcare Data Analytics or related field - 3+ years" experience with data visualization tools (e.g., Tableau, PowerBI) - Experience in database management The company values the following analytical and personal skills in its employees: - Good logical reasoning and analytical skills - Ability to break big goals into small incremental actions - Excellent communication and collaboration skills - Demonstration of ownership and accountability in work - Great attention to details - Self-criticism - Positive and cheerful outlook in life,

As a Data Analyst at Asite, you will be a key player in supporting the B2B SaaS product team by deriving insights from user behavior, informing product decisions, and driving business growth. Here's what you can expect in this role: **Role Overview:** At Asite, you will analyze user behavior, product usage, and funnel metrics to generate insights and recommendations. You will develop dashboards and reports to track KPIs across product, revenue, and customer lifecycle metrics. Collaborating with Product Managers, Research Analysts, and Engineers, you will define and measure feature success. Supporting marketing and sales teams with data on customer segmentation, campaign performance, and lead quality will also be part of your responsibilities. Additionally, you will work closely with Customer Success to identify churn risks, upsell opportunities, and improve onboarding flows. A/B testing to guide product iterations, automating data pipelines and reporting processes, and continually improving processes will also be your focus. **Key Responsibilities:** - Analyze user behavior, product usage, and funnel metrics to generate insights and recommendations. - Develop dashboards and reports to track KPIs across product, revenue, and customer lifecycle metrics. - Collaborate with cross-functional teams to define and measure feature success. - Support marketing and sales teams with data on customer segmentation, campaign performance, and lead quality. - Work closely with Customer Success to identify churn risks, upsell opportunities, and improve onboarding flows. - Design and execute A/B tests to guide product iterations. - Automate data pipelines and reporting processes for efficiency and scalability. - Have a proactive role in continually improving the process. **Qualifications Required:** - Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science). - 2-4 years of experience as a Data Analyst or similar role in a SaaS or tech environment. - Proficiency in SQL and data analytics & visualization tools (e.g. Excel, SQL, Power BI). - Experience with Python/R for data analysis is a plus. - Strong understanding of SaaS business metrics (e.g., MRR, churn, LTV, CAC, ARR). - Excellent communication skills, with the ability to translate data into actionable insights. - Familiarity with CRM and marketing platforms like HubSpot, Salesforce. - Excellent communication and storytelling skills to present analysis to stakeholders. - Prior experience working in agile product teams with the ability to manage multiple tasks and priorities in a fast-paced environment. - Excellent teamwork skills especially with a can-do attitude. **Additional Details about Asite:** Asite's vision is to connect people and help the world build better by enabling organizations working on large capital projects to plan, design, and build with seamless information sharing across the entire supply chain. Asite SCM and Asite PPM are the solutions offered by Asite to manage the supply chain and projects effectively. The company is headquartered in London with regional offices in various cities across the globe. This full-time position is ideal for junior-level professionals with a focus on Product Management in industries like Information Services, Information Technology and Services, Management Consulting, Internet, and Computer Software. If you are excited about joining a dynamic team and contributing to building better digital engineering solutions, share your resume with us at careers.india@asite.com.,

As an ideal candidate for this role, you will be responsible for working closely with business IT partners to comprehend the business and data requirements. Your duties will include acquiring data from primary or secondary data sources, conducting data profiling, interpreting data, analyzing results, and providing quick data analysis. It will be your responsibility to identify, analyze, and interpret trends or patterns in complex datasets. Additionally, you will be expected to build business matrices, proof of concepts, source mapping documents, and raw source data models. Your keen eye for detail will help you to locate and define new process improvement opportunities. Your mandatory skills for this position will encompass a strong knowledge of and experience with Excel, databases such as Redshift and Oracle, as well as programming languages like Python and R. You should possess the ability to write SQL queries for data profiling, data analysis, and presenting insights to the business. Exposure to Datawarehousing and Data Modeling concepts will be crucial for success in this role. Familiarity with the IT Project Lifecycle, along with experience in Finance or Life Science domains, is highly desirable. Knowledge of BI tools will be considered an added advantage.,

As a member of the data science team, you will have the opportunity to work on cutting-edge analytics technologies, develop predictive models, and contribute to data-driven decision making. The role focuses on end-to-end data science workflows, advanced statistical analysis, and real-world AI applications in business contexts. Key Responsibilities: - Conduct comprehensive data collection, cleaning, preprocessing, and exploratory data analysis using Python, R, and SQL frameworks. - Develop and implement machine learning models for classification, regression, clustering, and time-series forecasting applications. - Create advanced data visualizations and interactive dashboards using Tableau, Power BI, matplotlib, and seaborn libraries. - Perform statistical analysis, hypothesis testing, and A/B testing to derive actionable business insights. - Build and deploy predictive analytics models to support business strategy and operational optimization. - Collaborate with cross-functional teams to translate business requirements into analytical solutions and recommendations. - Document analytical processes, create technical reports, and present findings to stakeholders through compelling data storytelling. Qualifications Required: Must-Haves: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field (final year students or recent graduates). - Strong programming proficiency in Python with experience in NumPy, Pandas, Scikit-learn, and Jupyter Notebooks. - Solid understanding of statistical concepts including descriptive statistics, probability distributions, and inferential statistics. - Knowledge of SQL for database querying and data manipulation from various data sources. - Experience with data visualization tools and techniques for creating meaningful insights from complex datasets. Nice-to-Haves: - Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or advanced scikit-learn applications. - Familiarity with cloud platforms (AWS, GCP, Azure) for data processing, model deployment, and distributed computing. - Knowledge of big data technologies including Spark, Hadoop, or NoSQL databases for large-scale data processing. - Experience with advanced analytics techniques including deep learning, NLP, or computer vision applications. - Previous internship experience or portfolio projects demonstrating real-world data science problem-solving capabilities.,

Nom are offering a Jobs. Data Entry Operator, Computer Operators, Back Office Executive, Typist Enter & update data into various systems and database. Verify accuracy of data before entering itinto the system. Freshers and Experienced both can apply for this jobs Position- Data Entry Executive, Computer Operator, Typist. Back Office Executive Location: Work From HomeJob Type: Part Time or Full TimeSalary: Rs.15000 to Rs.29000 Job Location: This work can be done from any location in India  For more details or instant reply visit below website, Here WhatsApp number given, Just send 'Hi' through WhatsApp on given number, Website- www.areply.in 1-WhatsApp Number- 8O 52 8495 55 2-WhatsApp Number- 86O1O6O241 After sending 'Hi' message on WhatsApp Within 1 minute, you will receive the full work details on your WhatsApp via auto-reply. After receiving message please read all work and salary information carefully to understand everything better. For more details, you can call the customer care number shared in the WhatsApp message. Must have: Computer or laptop and Typing Skills

An information security analyst's job description includes protecting an organization's computer networks, systems, and data from cyber threats and breaches. Key responsibilities involve monitoring networks, investigating security incidents, implementing safeguards like firewalls, and developing disaster recovery plans. They also stay current on evolving threats, recommend security enhancements, and train employees on best practices.    Monitor and investigate: Track networks for security breaches and investigate any suspicious activity. Implement security measures: Install and maintain software such as firewalls, encryption programs, and antivirus software like Crowdstrike. Identify vulnerabilities: Perform security audits and assessments to find weaknesses in computer and network systems. Develop security policies: Create and document security standards, best practices, and disaster recovery plans. Respond to incidents: Document security breaches, respond to cyberattacks, and conduct post-attack investigations. Provide guidance: Recommend security enhancements to management and train employees on cybersecurity protocols. Stay informed: Keep up with the latest information security trends and threats  Technical skills Analytical skills Communication skills Education and experience Certifications

A quality control (QC) analyst's job is to ensure products meet established quality and safety standards through inspections, tests, and evaluations. Key responsibilities include collecting and analyzing data, identifying defects, implementing corrective actions, and documenting findings. They collaborate with production teams to resolve issues and maintain product consistency throughout the manufacturing process   Testing and inspection:  Perform tests, inspections, and evaluations on raw materials, products in progress, and finished goods to ensure they meet quality specifications.    Data analysis:  Analyze test results and other data to identify quality trends, defects, and root causes.    Problem-solving:  Collaborate with other departments, such as production and engineering, to troubleshoot and resolve quality issues.    Documentation and reporting:  Keep accurate records of all tests and inspections, prepare detailed reports, and maintain all relevant documentation.    Process improvement:  Recommend and help implement corrective actions and process improvements to prevent defects and enhance overall quality.    Compliance:  Ensure all products and processes comply with relevant industry standards and regulations.      Strong analytical skills     Attention to detail     Ability to interpret and analyze data     Good communication and organizational skills     Understanding of quality control procedures  

We are looking for a fresher or an experienced Data Entry Operator, Computer Operator, Back Office Executive, Typist The ideal candidate should have excellent interpersonal and communication skills Position- Data Entry Executive, Computer Operator, Typist. Back Office Executive Location: Work From Home Job Type: Part Time or Full Time Salary: Rs.15000 to Rs.30000 Job Location: This work can be done from any location in India Freshers and Experienced both can apply for this jobs.  For more details or instant reply visit below website, Here WhatsApp number given, Just send 'Hi' through WhatsApp on given number, Website- www.areply.in WhatsApp Number- 8O 52 8495 55 After sending message, with in 2 minutes you will received full details Must have: Computer or laptop and Typing Skills

A financial analyst job description involves collecting and analyzing financial data to help businesses and investors make decisions. Key responsibilities include preparing financial reports, creating forecasts and models, evaluating company and market trends, and making investment recommendations. This role requires strong analytical, forecasting, and communication skills, and typically requires a bachelor's degree in a related field.    Data analysis: Gather and analyze historical and current financial data, including financial statements and market trends, to assess performance and identify areas for improvement. Forecasting and modeling: Create financial models, projections, and forecasts to predict future performance, revenue, and expenditures. Reporting and recommendations: Prepare detailed financial reports and present them to management or clients. Based on their analysis, they make recommendations for strategic business decisions or investment strategies.   Valuation: Determine a company's value by examining its financial statements and performance. Industry research: Research macroeconomic and microeconomic conditions, as well as industry and competitor information, to inform analysis and strategy   Analytical skills Financial modeling Forecasting Accounting Communication