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Impelsys

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Product Owner

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Summary

Product Owner/Business Analyst on Impelsys's Enterprise Data Platform team in Bengaluru: gathers and documents business requirements, writes user stories and functional specs, liaises between business stakeholders and technical teams, and supports delivery and UAT with SQL-based data analysis in an Agile setup.

We are looking for a proactive and analytical Product Owner & Business Analyst to join our Enterprise Data Platform team. The ideal candidate will act as the bridge between business stakeholders and technology teams, ensuring business requirements are clearly understood, documented, and translated into scalable data and technology solutions.

You will work closely with Product Owners, Business Users, Data Engineers, QA teams, and Solution Architects to analyze business processes, define functional requirements, support solution delivery, and ensure the platform meets business objectives.

Key Responsibilities

Business Analysis

  • Engage with business stakeholders to gather, analyze, and document business requirements.
  • Conduct workshops, interviews, and requirement elicitation sessions to understand business needs and challenges.
  • Translate business requirements into detailed functional specifications, user stories, and acceptance criteria.
  • Analyze existing business processes and recommend improvements to increase operational efficiency.

Stakeholder Management

  • Serve as the primary liaison between business users and technical teams.
  • Facilitate discussions to clarify requirements, resolve ambiguities, and align expectations.
  • Present business solutions, process flows, and project updates to stakeholders.
  • Build strong relationships across cross-functional teams to ensure successful project delivery.

Solution & Delivery Support

  • Collaborate with Product Owners, Data Engineers, Architects, and QA teams throughout the project lifecycle.
  • Support solution design by ensuring business requirements are accurately reflected in technical implementations.
  • Participate in sprint planning, backlog refinement, and release planning activities.
  • Assist QA teams in defining test scenarios and validating delivered functionality against business requirements.
  • Support User Acceptance Testing (UAT), defect triage, and production rollout activities.

Data & Process Analysis

  • Analyze business data and workflows to support decision-making.
  • Use SQL to perform basic data analysis, validation, and reconciliation where required.
  • Work with Data Engineering teams to understand data flows, business rules, and reporting requirements.
  • Validate that business data is accurate, complete, and aligned with business expectations.

Documentation

  • Prepare and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), user stories, process maps, and workflow diagrams.
  • Document business rules, data definitions, process flows, and acceptance criteria.
  • Maintain project documentation using collaboration tools such as Confluence and Jira.

Required Skills

Business Analysis

  • Requirement Gathering & Analysis
  • Business Process Modeling
  • User Story & Acceptance Criteria Creation
  • Functional & Non-Functional Requirement Documentation
  • Gap Analysis
  • Process Improvement

Data Analysis

  • Strong SQL skills for data validation and analysis.
  • Understanding of relational databases and data models.
  • Basic knowledge of ETL/ELT processes and enterprise data platforms.
  • Ability to interpret and analyze business data.

Tools

  • JIRA
  • Confluence
  • Microsoft Excel
  • Visio, Lucidchart, or similar process modeling tools
  • Power BI or Tableau (Preferred)

Methodologies

  • Agile / Scrum
  • SDLC
  • User Acceptance Testing (UAT)
  • Change Management

Preferred Skills

  • Experience working with enterprise data platforms or cloud-based data warehouses (Snowflake, Redshift, BigQuery, etc.).
  • Familiarity with dbt, ETL pipelines, and modern data engineering concepts.
  • Understanding of data governance, metadata management, and data quality principles.
  • Exposure to AWS, Azure, or GCP cloud environments.
  • Knowledge of reporting and analytics platforms.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Business Administration, Business Analytics, or a related field.

Desired Competencies

  • Excellent analytical and problem-solving skills.
  • Strong verbal and written communication.
  • Exceptional stakeholder management and relationship-building skills.
  • Ability to work effectively with both technical and non-technical teams.
  • Strong documentation and presentation skills.
  • Customer-focused with a proactive and solution-oriented mindset.
  • Ability to manage multiple priorities in a fast-paced Agile environment.

Skills

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