Business Analyst – Data & Analytics

Job Title: Business Analyst – Data & Analytics

Industry: Manufacturing
Location: Aundh, Pune
Qualification: Graduate / Post Graduate
Years of Experience: 5–7 Years
Employment Type: 6 Months Contract
Shift Time: 1:30 PM – 10:30 PM IST
Working Days: 5 Days a Week
Work Mode: Hybrid – 4 Days WFO + Friday WFH
Reporting To: Data Business Partner
Transport Facility: Available
Notice Period: 1 Month
Interview Mode: 1 Online Round + 1 Offline Round

About the Role

We are looking for an experienced Business Analyst who can understand business problems, work confidently with data, translate requirements into actionable deliverables, and take ownership of assigned projects.

This role brings together Business Analysis, Data Analysis, and Agile Project Coordination.

You will work closely with business stakeholders, Power BI developers, data engineers, and technical teams to:

• Understand business processes, identify problems, and translate business needs into clear requirements.
  

• Own requirement documentation, user stories, acceptance criteria, and process flows.
  

• Plan and track project activities, dependencies, timelines, and deliverables.
  

• Analyze and validate data using SQL and Excel.
  

• Coordinate Agile delivery, sprint activities, testing, and business sign-offs.
  

• Conduct Domain calls with Business Stakeholders.
  

• Identify risks, resolve dependencies, and communicate progress to stakeholders.
  

We need someone who can take a problem, bring clarity to it, organize the work, and drive it toward completion.

What You'll Be Doing

1. Understand the Business & Define Requirements

• Engage directly with business stakeholders to understand processes, challenges, and expected outcomes.
  

• Conduct requirement-gathering discussions and workshops independently.
  

• Create clear Business Requirement Documents (BRDs), Functional Requirements, User Stories, and Acceptance Criteria.
  

• Understand existing workflows, identify gaps, and document current-state and future-state processes.
  

• Create process flows, diagrams, and other documentation to explain complex business processes.
  

• Challenge unclear requirements, identify missing information, and resolve ambiguity before development begins.
  

• Work with technical teams to ensure business requirements are understood and feasible.
  

2. Plan, Coordinate & Drive Delivery

• Break down requirements and projects into manageable deliverables using Work Breakdown Structures (WBS).
  

• Maintain project plans, trackers, timelines, dependencies, and action items.
  

• Coordinate with stakeholders, developers, and other teams to keep deliverables moving.
  

• Proactively identify risks, blockers, and dependencies, and drive their resolution.
  

• Track progress against committed timelines and communicate deviations early.
  

• Facilitate meetings with clear agendas, documented decisions, owners, and next steps.
  

• Prepare concise progress updates for project stakeholders and management.
  

3. Manage Agile Delivery

• Facilitate Scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
  

• Create and manage Features, User Stories, Tasks, and Bugs in Azure DevOps or similar tools.
  

• Maintain a well-defined and prioritized backlog with clear acceptance criteria.
  

• Coordinate with developers to clarify requirements and support delivery during sprints.
  

• Track sprint commitments, progress, carryovers, and blockers.
  

• Support backlog refinement, sprint readiness, and upcoming sprint planning.
  

• Ensure completed work meets defined requirements before business acceptance.
  

4. Analyze, Validate & Work with Data

• Write SQL queries to extract, join, compare, and validate data across different sources.
  

• Use Excel for data analysis, reconciliation, and identifying inconsistencies.
  

• Investigate data quality issues, mismatches, and business rule discrepancies.
  

• Work with data engineers and Power BI developers to understand data transformations and reporting logic.
  

• Validate dashboards, reports, KPIs, and calculations against business requirements and source data.
  

• Translate business reporting requirements into clear data and functional specifications.
  

• Present analytical findings in a simple and actionable manner.
  

5. Manage Testing & Business Acceptance

• Define test scenarios and acceptance criteria based on business requirements.
  

• Coordinate User Acceptance Testing (UAT) with business stakeholders.
  

• Validate delivered functionality and investigate reported defects.
  

• Track defects, coordinate fixes, and manage retesting.
  

• Ensure requirements are met and business sign-offs are obtained before production deployment.
  

• Support post-deployment validation and issue resolution.
  

What You Should Know

Must Have

Business Analysis

• 5–7 years of relevant experience in Business Analysis, preferably within Data & Analytics, BI, or enterprise IT projects.
  

• Strong experience in requirement gathering, BRDs, functional specifications, user stories, and acceptance criteria.
  

• Ability to independently conduct stakeholder discussions and manage requirement clarification.
  

• Experience in business process analysis, process mapping, and gap identification.
  

Data Analysis

• Strong working knowledge of SQL, including joins, aggregations, filtering, subqueries, and data validation.
  

• Strong Excel skills, including formulas, lookups, Pivot Tables, and data reconciliation.
  

• Ability to investigate data discrepancies and explain findings.
  

• Understanding of data structures, reporting requirements, and business KPIs.
  

Agile & Project Coordination

• Practical working experience with Agile/Scrum methodologies.
  

• Experience managing backlogs, sprint activities, tasks, dependencies, and deliverables.
  

• Working experience with Azure DevOps, Jira, or similar project management tools.
  

• Ability to create WBS, maintain project trackers, and communicate delivery status.
  

Communication & Stakeholder Management

• Clear written and verbal communication.
  

• Ability to interact independently with business users and technical teams.
  

• Confidence to ask questions, challenge assumptions, and clarify expectations.
  

• Ability to manage multiple priorities and follow through on commitments.
  

Good to Have

• Power BI knowledge, including report validation, data models, and DAX fundamentals.
  

• Understanding of Data Warehouses, ETL/ELT processes, and data integration.
  

• Exposure to ERP systems such as SAP or other enterprise applications.
  

• Experience with Visio, Draw.io, Miro, or Figma for process documentation.
  

• Experience working with manufacturing, operations, finance, supply chain, or other enterprise business functions.
  

How We Expect You to Work

Own your work. Take responsibility for assigned requirements and deliverables from initial discussion through completion.

Think before documenting. Understand the business problem before translating requests into requirements.

Ask the right questions. Identify gaps, challenge unclear assumptions, and seek clarity rather than making guesses.

Be structured. Keep requirements, decisions, project plans, and trackers organized and accessible.

Be proactive. Identify dependencies and risks early. Don't wait for someone else to discover them.

Be comfortable with data. Use evidence and analysis to investigate problems and support decisions.

Communicate clearly. Explain progress, challenges, and next steps without unnecessary complexity.

Work independently, collaborate effectively. Know when to make progress independently and when to involve the right people.

What Good Looks Like

You are successful in this role when:

• Business stakeholders feel confident that their requirements are understood and accurately documented.
  

• Developers can work from your requirements without repeated clarification.
  

• Assigned workstreams progress with minimal day-to-day supervision.
  

• Sprint backlogs are ready, priorities are clear, and delivery commitments are visible.
  

• Project risks, dependencies, and blockers are identified and addressed proactively.
  

• Data issues are properly investigated rather than simply escalated.
  

• UAT is organized, defects are tracked, and business sign-offs are obtained.
  

• Meetings result in decisions, clear ownership, and actionable next steps.
  

• Stakeholders have reliable visibility into progress, challenges, and expected deliverables.