Job Description

Responsibilities:

Are you prepared to tackle a challenging position that merges your enthusiasm for data with outstanding product management abilities? Principal Global Services is seeking a Product Manager II to become part of our vibrant team in Pune. This presents a distinctive chance to compose the direction of data-influenced decision-making in our company.

Job purpose :
Make key data & metrics easily consumable for data-driven decision-making. Gather, format, and present data and business context to create meaningful numeric and graphical summaries. Function as a data subject matter expert, establishing data standards & requirements with data engineers.

DescriptionBuild & maintain data aggregation processes and dashboards, creating interactive and compelling visual, numeric, and written summaries. Ensures data governance policies are followed. Train & coach business users on BI tools. Promote data literacy and a self-serve culture across the enterprise. Analyze business intelligence data to inform business and product decisions Blend historical data from available industry reports, public information, field reports or purchased sources as input to analyses. Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends. Partners with other areas of business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies.

Qualifications:

Requirements :

Product Performance Analysis

Data professionals track key performance indicators (KPIs) such as conversion rates, retention, and engagement. They build dashboards and reports to help product teams monitor performance and identify trends, anomalies, and opportunities.

User Behavior Insights

They analyze user journeys, drop-off points, and feature usage. By segmenting users based on behavior or demographics, they support UX research with quantitative data.

Experimentation & A/B Testing

Data professionals design and evaluate experiments, ensuring statistical rigor and validity. They help interpret results to guide product decisions.

Forecasting & Modeling

They predict outcomes of product changes and build models for churn, lifetime value, or demand. This supports prioritization with impact estimates.

Data Infrastructure & Governance

They work with engineering teams to ensure data quality, define tracking requirements for new features, and maintain documentation and data dictionaries.

Cross-Functional Collaboration

Data professionals would partner with PMs, designers, engineers, and marketers. They translate business questions into analytical tasks and communicate insights clearly to non-technical stakeholders.