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data & business process analyst

data analyst l4

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&acirc;&euro;&trade;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp;
 
 
 Experience: 5-8 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Analyst L4

Osmos

<div>
 
 
 Who We Are:
 
 Osmos, a B2B SaaS company founded by ex-Amazon ad-tech experts, is revolutionizing retail media with an AI-powered operating system that increases retailer profitability (by up to 7% of sales) and delivers superior ROAS for brands. By enabling Tier 1 retailers and marketplaces worldwide to activate more brands and leverage advanced targeting, we help them secure a lasting competitive edge.
 
 
 
 
 
 
 Your Impact:
 
 
 
 We are looking for a data-driven and strategically-minded Business Analyst to join our Customer Success team. In this role, you will transform customer data into actionable insights, helping our Customer Success Managers optimize customer experience, adoption, and retention.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 Data Analysis &amp; Insights
 
 
 <ul>
 <li>
 Perform in-depth analysis of customer and campaign data to identify trends, patterns, and optimization opportunities.
 </li>
 <li>
 Structure and manage large data sets using
 
 
 Python, BigQuery, and Excel
 
 
 to ensure accuracy and usability.
 </li>
 <li>
 Generate actionable insights that improve campaign performance, customer experience, and retention.
 </li>
 <li>
 Create and maintain dashboards/reports to track performance metrics tied to revenue and success outcomes.
 </li>
 </ul>
 
 
 Campaign Optimization
 
 
 <ul>
 <li>
 Partner with Customer Success Managers to analyze campaign data, assess performance, and recommend optimization strategies.
 </li>
 <li>
 Measure campaign effectiveness against defined KPIs and provide insights to improve ROAS and client satisfaction.
 </li>
 </ul>
 
 
 Collaboration &amp; Stakeholder Engagement
 
 
 <ul>
 <li>
 Partner with Customer Success Managers, Product, Sales, and Operations teams to align insights with business priorities.
 </li>
 <li>
 Support quarterly business reviews (QBRs) with data-driven insights for key accounts.
 </li>
 <li>
 
 Translate business requirements into clear, actionable data insights and reports.
 
 </li>
 </ul>
 
 
 Process Improvement &amp; Reporting
 
 
 <ul>
 <li>
 Recommend and implement process improvements and automation opportunities within Customer Success operations.
 </li>
 <li>
 Ensure data integrity, consistency, and accuracy across reporting systems.
 </li>
 </ul>
 
 
 
 
 
 You'll Thrive If You Have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Business, Data Analytics, Information Systems, or related field.
 </li>
 <li>
 1&ndash;3 years of experience in a Business Analyst or Data Analyst role (preferably in SaaS/B2B environment).
 </li>
 <li>
 Proficiency in Python, BigQuery, Excel, Data Analysis.
 </li>
 <li>
 Strong analytical thinking and ability to translate data into business insights.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 Why Choose Osmos?
 
 
 <ul>
 <li>
 
 Startup Energy, Enterprise Scale:
 
 Fast-paced innovation with global ambition
 </li>
 <li>
 
 Revolutionize Retail Marketing:
 
 Be at the forefront of AI-powered solutions
 </li>
 <li>
 
 Meaningful Contribution:
 
 Directly impacts major brands' success
 </li>
 <li>
 
 No Red Tape:
 
 Autonomy and empowerment to drive results
 </li>
 <li>
 
 Growth &amp; Fun:
 
 Continuous learning in a vibrant, collaborative culture
 </li>
 <li>
 
 Competitive Rewards:
 
 We value your expertise and offer strong compensation
 </li>
 </ul>
 
 
 
 
 
 Ready to champion Business Analyst ? Apply now.
 
 
 
 
</div>

Business Analyst

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking a Business Analyst / Data Analyst with strong domain expertise in BFSI and specialized knowledge in Anti-Money Laundering (AML) or Fraud Prevention. This role involves working closely with architects, product managers, and engineering teams to define and deliver high-quality product requirements and solutions
 
 
 
 
 <ul>
 <li>
 
 Role: Business Analyst
 
 </li>
 <li>
 
 Location: Pune
 
 </li>
 <li>
 
 Experience: 4 to 9 years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 You will play a key role in bridging business needs and technical solutions by defining detailed functional and non-functional requirements, facilitating communication across teams, and ensuring successful product delivery.
 </li>
 <li>
 Collaborate with architects, R&amp;D, product managers, and vendors to understand high-level design and requirements.
 </li>
 <li>
 Define detailed functional product requirements including source-to-target mapping, transformation rules, and data integration needs.
 </li>
 <li>
 Specify non-functional requirements related to performance, scalability, and serviceability.
 </li>
 <li>
 Interface with customers to gather data requirements and support product implementation.
 </li>
 <li>
 Facilitate clear communication between multiple product and engineering teams.
 </li>
 <li>
 Prioritize and scope user stories with product management and engineering for timely delivery.
 </li>
 <li>
 Define acceptance criteria for user stories and conduct internal product demos.
 </li>
 <li>
 Provide functional test considerations and support customer support, presales, and product teams.
 </li>
 <li>
 Recommend product features and design improvements to meet strategic goals.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 We expect you to have strong analytical skills, domain knowledge, and the ability to translate business needs into actionable technical requirements.
 </li>
 <li>
 4&ndash;9 years of experience as a Business Analyst / Data Analyst.
 </li>
 <li>
 BFSI domain expertise &ndash; Mandatory.
 </li>
 <li>
 Knowledge of AML or Fraud Prevention &ndash; Mandatory.
 </li>
 <li>
 Proficiency in writing business use cases, scenarios, and functional test cases.
 </li>
 <li>
 Strong understanding of SQL and data analysis.
 </li>
 <li>
 Hands-on experience with source-to-target mapping, transformation rules, and data management.
 </li>
 <li>
 Familiarity with schemas, metadata, and standard banking interfaces.
 </li>
 <li>
 Experience in data integration, data quality, and validation.
 </li>
 <li>
 Ability to create specifications from business requirements and communicate them effectively to software teams.
 </li>
 <li>
 Strong communication and presentation skills in English.
 </li>
 <li>
 Experience with Agile methodologies, user stories, and acceptance criteria.
 </li>
 <li>
 Proficiency with tools like MS Teams, JIRA, AHA, MS Excel, MS Access, and MS Visio.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

<div>
 <ul>
 <li>
 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
 </li>
 <li>
 Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
 </li>
 <li>
 Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
 </li>
 <li>
 Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
 </li>
 <li>
 Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
 </li>
 <li>
 Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
 </li>
 <li>
 Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
 </li>
 <li>
 Understanding of ER Diagram and Data Modeling concepts
 </li>
 <li>
 Exposure to Data quality validation
 </li>
 <li>
 Exposure to Data Management, Data Cleaning and Data Preparation
 </li>
 <li>
 Exposure to Data Schema analysis.
 </li>
 <li>
 Exposure to working in Agile framework.
 </li>
 <li>
 SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit &amp; Lending domain knowledge.
 </li>
 <li>
 Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
 </li>
 <li>
 Retail Credit / Traded Credit knowledge - applications will be considered.
 
 
 </li>
 </ul>
 
 Good To Have
 
 
 
 <ul>
 <li>
 BFSI Domain knowledge
 </li>
 <li>
 Data Visualization - Tableau or Qlik Sense
 </li>
 <li>
 Exposure to Hadoop, Hive and ETL.
 </li>
 <li>
 Working knowledge of any cloud services like AWS or GCP or Azure.
 </li>
 <li>
 Any relevant certifications would be a plus.
 </li>
 </ul>
</div>

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

Peoplefy

<div>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Monitor and manage CA7/mainframe batch schedules
 </li>
 <li>
 Analyze job performance, SLAs, and processing metrics
 </li>
 <li>
 Troubleshoot job failures, reruns, dependencies &amp; runtime issues
 </li>
 <li>
 Support automation tools, reporting, and operational dashboards
 </li>
 <li>
 Coordinate with production teams during go-lives, conversions &amp; BC activities
 </li>
 <li>
 Work across mainframe and distributed environments
 </li>
 </ul>
 
 
 
 
 
 Required Experience:
 
 
 <ul>
 <li>
 2&ndash;4 years in IT Operations / Mainframe Batch / CA7 scheduling
 </li>
 <li>
 Experience with CA7 / BMC / IBM scheduling tools
 </li>
 <li>
 Strong understanding of batch processing, JCL basics &amp; performance tuning
 </li>
 <li>
 Good analytical, communication &amp; multitasking skills
 </li>
 <li>
 Comfortable with
 
 24/7 rotational shifts
 
 </li>
 </ul>
 
 
 
 
 This role supports mainframe and distributed production operations by analyzing job performance, creating business metric reports, optimizing batch schedules, and maintaining automation tools. The analyst proactively identifies performance issues, supports new system go-lives, ensures smooth production processing, and assists with Business Continuity activities. The role involves data analysis, predictive modeling, runtime optimization, and coordination with internal teams to maintain stable, efficient production environments.
 
 
 
 
 
 If you match the above skills and can join immediately, kindly share your resume at:
 
 
 📩
 
 zoya.sh@peoplefy.com
 
 
</div>

Operations Analyst

Crisil

<div>
 
 Key Responsibilities:
 
 
 
 
 
 -
 
 
 
 Domain Related:
 
 
 <ol>
 <li>
 Assist global Credit Analyst(s) in cash flow analysis for Structured Finance securities
 </li>
 <li>
 Prepare cash-flow Model for structured finance deals RMBS, across EMEA and US regions) using proprietary platforms (IMAKE, Cashflow Evaluator, Intex) and ensure the correctness of the cash flow output
 </li>
 <li>
 Cash-flow Modelling involves:
 </li>
 <li>
 Analyzing, comprehending, and interpreting transaction documents such as Offering Circular, Indenture, Term-sheet etc., to understand the structure and features of the deals
 </li>
 <li>
 Retrieve appropriate data (Asset and Liability level) to prepare cash-flow model set up files
 </li>
 <li>
 Scripting payment waterfalls and related conditions as per the deal covenants using pre-built functions in the scripting tools to generate the required cash-flow output
 </li>
 <li>
 Testing the Cash-flow model through scenario analysis to comply all the requirement of legal document and the Asset Specific Cash-Flow Criteria
 </li>
 <li>
 Work on resolving Queries w.r.t Cash-flow model outputs used for ratings process
 </li>
 <li>
 Model maintenance involves regular testing and validation of models based on the most recent investor reports, statements published by issuers, servicers and revising the model to be in sync with expected outcome
 </li>
 <li>
 Stay abreast with the latest developments in the structured finance market and understand / be able to comment on their potential impact
 </li>
 <li>
 Support Global Credit Analyst(s) in analyzing the performance of a portfolio of Structured Finance transactions for any credit event
 
 Process Adherence:
 
 </li>
 <li>
 Focus on quality review and add analytical inputs to processes as and when needed
 </li>
 <li>
 Create and maintain base level training material, process manuals and related documentation to ensure smooth execution of tasks
 </li>
 <li>
 Adopt the defined processes in day-to-day execution of assignments
 </li>
 <li>
 Identify process improvement avenues that leads to value addition to work
 </li>
 <li>
 Ensure gained knowledge is retained and documented through operating manuals
 </li>
 <li>
 Work with other teams and suggest methods to improve efficiency of the existing process
 </li>
 </ol>
 
 7. Strictly practice and follow all compliance, confidentiality and information security policies and procedures and related guidelines of the organization
 
 
 
 
 
 Client Management / Stakeholder Management:
 
 
 <ol>
 <li>
 Build and maintain relationships with onshore Analyst and respective stakeholders
 </li>
 <li>
 Set expectations with clients for the routine tasks (viz., scope of work, timelines, etc.)
 
 People Development:
 
 </li>
 <li>
 Provide mentoring / training to junior members of the team
 </li>
 <li>
 Implement team-level initiatives (co-curricular activities)
 </li>
 <li>
 Familiarize new recruits to the team and organization
 </li>
 </ol>
 
 
 
 
 
 Expected Candidate Profile: -
 
 
 <ol>
 <li>
 Understanding of Fixed Income AND/OR Structured Finance / Securitization concepts
 </li>
 <li>
 Excellent oral and written communication skills
 </li>
 <li>
 Positive attitude with qualities of a team player and Solution oriented
 </li>
 <li>
 Ability to take ownership and execute tasks independently
 </li>
 <li>
 Ability to deal with pressure and open to new ideas and initiatives
 </li>
 <li>
 Ability to build client relations and take a view based on client guidance
 </li>
 </ol>
 
 
 
 
 
 
 Essential Qualification: -
 
 
 
 Two years full-time MBA (Finance) OR Equivalent
 
 
 
 
 
 
 Preferred Qualification: -
 
 
 
 Two years full-time MBA/PGDM (Finance) OR Equivalent degree in Quantitative Finance OR (CFA / FRM) with 3-5 years of work experience in Structured finance (ABS / RMBS / CLOs).
 
 
 
</div>

Credit Analyst

Aumni

<div>
 
 Job Summary
 
 
 
 We are seeking a detail-oriented and proactive
 
 Data Analyst
 
 to support the digitisation and optimisation of insurance policy data. This role will begin with hands-on data entry and validation of customer insurance documents, with the long-term objective of contributing to process automation using machine learning (ML). The ideal candidate will bring insurance industry experience, strong analytical capabilities, and a passion for improving data quality and workflow efficiency.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Entry &amp; Validation
 </li>
 <li>
 Accurately extract and input data from insurance policy documents into the designated User Interface (UI).
 </li>
 <li>
 Validate data to ensure consistency, completeness, and compliance with Data Governance (DG) standards.
 </li>
 <li>
 Data Cleansing &amp; Quality Assurance
 </li>
 <li>
 Identify discrepancies, errors, or missing information and correct them as per established guidelines.
 </li>
 <li>
 Maintain high-quality standards while managing large volumes of structured and unstructured data.
 </li>
 <li>
 Process Documentation
 </li>
 <li>
 Create clear, step-by-step documentation outlining the data entry and cleansing workflow.
 </li>
 <li>
 Update process guides as tools, requirements, or workflows evolve.
 </li>
 <li>
 Automation &amp; Process Improvement
 </li>
 <li>
 Collaborate with the data and product teams to identify opportunities for automation using ML and other technologies.
 </li>
 <li>
 Provide insights to streamline workflows, enhance efficiency, and improve overall data quality.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 2&ndash;3 years of experience in the insurance industry as an Underwriting Assistant, Broker Account Manager, or similar role.
 </li>
 <li>
 Strong attention to detail with a commitment to maintaining high data accuracy.
 </li>
 <li>
 Excellent analytical and problem-solving skills.
 </li>
 <li>
 Effective communication and presentation skills.
 </li>
 <li>
 Ability to work both independently and within a team environment.
 </li>
 <li>
 A strong willingness to learn and adapt to new tools, technologies, and processes.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in Specialty &amp; Risk insurance.
 </li>
 <li>
 Prior exposure to the Marine or Aviation insurance sector.
 
 
 </li>
 </ul>
 
 About Aumni
 
 
 
 <ul>
 <li>
 Aumni, established in 2016, is a Software Services Company that partners with Product companies to build and manage their dedicated teams in India.
 </li>
 <li>
 So, while you are working for a services company, you are working within a product team and growing with them.
 </li>
 <li>
 These are not projects but product development, and we have long term (open ended) contracts with our clients. When our clients sign up with us, they are looking at a multi-year relationship. Most of our clients have been with 6,8,9 years.
 </li>
 <li>
 We do not move people across client teams and there is no concept of bench.
 </li>
 <li>
 At Aumni, we believe in quality work, and we truly believe that Indian talent is at par with global talent from US or Europe.
 </li>
 <li>
 We are 350+ and growing
 
 
 </li>
 </ul>
 
 Benefits Of Working At Aumni
 
 
 
 <ul>
 <li>
 Our award winning culture reminds us of our engineering days.
 </li>
 <li>
 Medical insurance (including Parents), Life and disability insurance
 </li>
 <li>
 24 leaves + 10 public holidays + leaves for Hospitalisation, maternity, paternity and bereavement.
 </li>
 <li>
 On site Gym, TT, Carrom, Foosball and Pool
 </li>
 <li>
 Hybrid work culture
 </li>
 <li>
 Fitness group / rewards
 </li>
 <li>
 Aumni Premier League, Aumni's Got Talent, Friday Socials, Annual parties, treks.
 
 
 </li>
 </ul>
 
 Aumni Values
 
 
 
 
 BE BOLD
 
 
 
 <ul>
 <li>
 Dare to innovate, challenge the norm and take ownership. Growth comes from courage.
 
 
 </li>
 </ul>
 
 BE TRUE
 
 
 
 <ul>
 <li>
 Act with integrity and transparency - in every task, every decision and every interaction.
 
 
 </li>
 </ul>
 
 BE KIND
 
 
 
 <ul>
 <li>
 Respect people, embrace diversity and support our culture of empathy and high collaboration.
 
 
 </li>
 </ul>
 
 BE YOU
 
 
 
 <ul>
 <li>
 Bring your authentic self to work. Have fun working, celebrate individuality and create space for everyone to thrive.
 </li>
 </ul>
</div>

Data Analyst

Explore 128+ Data analyst l4 in Pune this November. Find roles across top companies and apply now to boost your career.

128 data analyst l4 jobs IN Pune

Data Analyst L4

Business Analyst

Business Analyst

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

Operations Analyst

Credit Analyst

Data Analyst