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Data Product Manager

Data Product Manager

InfoCepts

9 - 11 years

13 - 17 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

confluence data analytical documentation presentation skills qlik power bi analysis data engineering retail sql analytics microstrategy bi tools requirement gathering tableau stakeholder management leadership data visualization etl powerpoint communication skills jira

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position

Location

Type of Employment

Purpose of the Position

Key Result Areas and Activities

Roles and Responsibilities

Essential Skills

9+ years in requirement gathering, analysis and coordination for data engineering and analytics products, at least 5 years in Retail domain
Strong experience in managing business priorities and stakeholder communication
Possesses strong expertise in SQL with the ability to design and optimize complex queries for challenging scenarios.
Proficiency in BI tools (e.g., Power BI, Tableau, Incorta, MicroStrategy), data visualization, and analytics platforms
Strong documentation skills for capturing requirements, project status, and user feedback.
Experience delivering product demos and hosting user conferences to support training and adoption.
Familiarity with Agile methodologies and product management tools (JIRA, Confluence).
Excellent analytical, problem-solving, and decision-making skills with the ability to turn complex data into actionable insights.
Strong communication, leadership, and stakeholder management skills to translate concepts into business value and drive collaboration.
Exceptional presentation skills, including proficiency with PowerPoint and related tools
Retail Industry Experience – understanding of eCommerce, Brick & Mortar (B&M), and wholesale models, with knowledge of how data products drive sales, customer engagement, and operational efficiency. (Preferred)

Desirable Skills

Understanding of ETL tools DataBricks, Qlik, Kafka, Snowflake
Working knowledge of AI frameworks
Knowledge of retail-specific data (inventory management, customer segmentation, pricing) and exposure to retail data sources (point of sale, loyalty programs, supply chain data). (Preferred)
Experience with Finance, Integrated Business Planning, Supply Chain, and Sales & Operations Planning (S&OP) processes, including how analytics supports forecasting, budgeting, and end-to-end planning. (Preferred)
Experience with eCommerce platforms and omnichannel strategies, including insights into online behavior and digital marketing analytics. (Preferred)
Familiarity with trends and best practices in data & analytics, especially retail analytics. (Preferred)
Understanding of machine learning applications such as recommendation systems and demand forecasting, plus basic data science principles. (Preferred)

Qualifications

Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus)
Demonstrated continued learning through one or more technical certifications or related methods
At least 9+ years in requirement gathering, analysis and coordination for data engineering and analytics products, at least 5 years in Retail domain

Qualities

Analytical thinking to resolve delivery challenges quickly
Handling dynamic project scope & emerging business needs
Clear, concise and persuasive communication for governance meetings and presentations

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