Product Owner Data Analytics

Posted On: 8 Oct 2025

Location: Noida, UP, India

Company: Iris Software

Why Join Iris?

Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture that truly values your talent and ambitions?

Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.

About Us

At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition, "Build Your Future. Own Your Journey." reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

I. Key Responsibilities

A. Strategy & Vision

• Define and own the product vision and strategy for the Data and Analytics portfolio, including data pipelines, data warehouses/lakes, reporting tools, and predictive models.
• Work closely with executive stakeholders, department heads (e.g., Marketing, Finance, Operations), and end-users to gather, analyze, and prioritize business requirements for data and reporting needs.
• Maintain and prioritize the Data Product Backlog (features, user stories, acceptance criteria, and technical debt) to maximize business value delivered by the team.

B. Execution & Delivery

• Translate high-level business requirements into detailed user stories and clear acceptance criteria for the Data Engineering and Analytics teams.
• Lead Agile ceremonies for the data team, including sprint planning, backlog grooming, and sprint reviews.
• Accept or reject user stories based on the Definition of Done, ensuring the data product meets quality, performance, and security standards (e.g., data accuracy, latency).
• Collaborate with Data Architects and Engineers to make key decisions regarding data models, governance, and technology selection for new initiatives.

C. Stakeholder Management & Communication

• Serve as the primary liaison between the business stakeholders and the technical development team.
• Communicate the status, dependencies, and value of the data roadmap and delivered features clearly and regularly to stakeholders at all levels.
• Demonstrate delivered functionality (e.g., new dashboards, data sets, or API endpoints) to business users, gathering feedback for future iterations.
• Manage dependencies across multiple data teams and other product teams that consume the central data assets.

II. Required Qualifications & Skills

A. Experience

• 3+ years of experience as a Product Owner, Business Analyst, or similar role focused specifically on data, business intelligence (BI), or reporting platforms.
• Proven experience working within an Agile (Scrum/Kanban) framework.
• Demonstrated success in defining and launching data products or analytical features.

B. Technical & Data Fluency

• Strong proficiency in SQL and experience working directly with relational (e.g., PostgreSQL, SQL Server) and/or NoSQL databases.
• Working knowledge of data warehousing concepts (e.g., dimensional modeling, Kimball/Inmon approaches), ETL/ELT processes, and data quality principles.
• Familiarity with modern BI tools and visualization platforms (e.g., Tableau, Power BI, Looker).
• Understanding of the difference between transactional (OLTP) and analytical (OLAP) data systems.

C. Leadership & Soft Skills

• Exceptional analytical and problem-solving skills with a clear ability to break down complex data problems into manageable components.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to non-technical business leaders and vice-versa.
• High level of initiative, self-motivation, and the ability to work independently in a fast-paced environment.

Agile - Agile - SCRUM

BI and Reporting Tools - BI and Reporting Tools - Tableau

BI and Reporting Tools - BI and Reporting Tools - Power BI

Database - Sql Server - SQL Packages

Database - PostgreSQL - PostgreSQL

DMS - Data Analysis Skills

Beh - Communication and collaboration

Perks and Benefits for Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.