Product Data Analyst

Protolabs -
Hyderabad, Telangana

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Job details

Full-time
₹22,25,608 - ₹27,82,010 a year
12 hours ago

Qualifications

Power BI
Data modelling
R
E-Commerce
SQL
Analysis skills
B2B
Agile
A/B testing
Manufacturing
Data visualization
Communication skills
Python
Adobe Analytics
Analytics

Full job description

Join the team as our new Product Data Analyst – India

You will be responsible for transforming data into actionable insights that drive product strategy, customer experience, and business growth. Working closely with Product, Engineering, Data & Analytics, and Commercial teams, you will uncover opportunities, measure product performance, and help shape data-driven decisions across our manufacturing services and eCommerce platform.

What You'll Do:

Drive Product & Business Insights

Analyze customer and product behavior across our manufacturing service lines and eCommerce platform to identify opportunities for growth and operational improvement.
Partner with Product Managers to understand customer journeys, product adoption, conversion funnels, and business performance.
Proactively explore datasets to identify trends, patterns, anomalies, and business opportunities.
Translate complex analytical findings into clear recommendations that support product strategy and business decisions.
Help product teams understand the "why" behind performance metrics and customer behavior.

Build Analytics & Reporting Solutions

Design, develop, and maintain dashboards and self-service reporting solutions using BI platforms such as DOMO, Looker, or Power BI.
Define and maintain key product and business performance metrics to ensure consistent reporting across teams.
Improve reporting quality by optimizing existing dashboards, retiring outdated reports, and simplifying data visualization.
Deliver reliable, real-time insights that enable informed decision-making across the organization.

Partner with Data Engineering & Analytics Teams

Work across Snowflake and enterprise data platforms to write efficient SQL queries and validate data quality.
Partner with Data & Analytics teams to improve data models, metric definitions, and reporting capabilities.
Ensure analytical outputs are accurate through data validation, reconciliation, and quality checks.
Contribute to analytical documentation, governance standards, version control, and reproducible reporting practices.
Support continuous improvements in data reliability and accessibility.

Collaborate Across Cross-Functional Teams

Partner closely with Product, Engineering, Marketing, Sales, Operations, Finance, and Data teams to understand business needs and deliver meaningful insights.
Manage multiple analytical requests while prioritizing work based on business value and stakeholder needs.
Clearly communicate priorities, timelines, assumptions, and trade-offs with cross-functional stakeholders.
Present insights and recommendations to both technical and non-technical audiences in a clear and compelling manner.
Build trusted relationships across global teams to enable data-driven decision-making.

What It Takes:

Technical

5–7 years of experience in Product Analytics, Business Analytics, or Data Analytics supporting digital products, eCommerce, or B2B platforms.
Strong SQL skills with experience querying large datasets in modern cloud data platforms such as Snowflake.
Hands-on experience building dashboards and reports using DOMO, Google Looker, Power BI, or similar BI tools.
Strong understanding of product metrics, customer behavior analysis, conversion funnels, and business performance reporting.
Experience working with large, complex datasets and ensuring data accuracy through validation and reconciliation.
Familiarity with data modeling concepts and working alongside Data Engineering teams.
Exposure to web and product analytics platforms such as Google Analytics 4, Amplitude, Mixpanel, Adobe Analytics, or similar tools.
Working knowledge of statistical analysis, experimentation, A/B testing, and data visualization best practices.
Experience with Python or R for advanced analytical work is an advantage.

Collaboration & Communication

Experience partnering with cross-functional teams in Product, Engineering, Marketing, Sales, Finance, and Operations.
Strong communication skills with the ability to simplify complex analytical findings for diverse audiences.
Ability to manage competing priorities while delivering high-quality analytical work.
Strong stakeholder management skills and the ability to influence decision-making through data.
Comfortable working independently in fast-paced, collaborative, and global environments.

Mindset

Curious and proactive with a passion for discovering insights through data.
Strong analytical thinker who enjoys solving business problems.
Self-starter who takes ownership and works independently with minimal direction.
Detail-oriented with a commitment to data quality and accuracy.
Collaborative team player who enjoys partnering across functions to drive business outcomes.
Continuous learner with a passion for improving products through data-driven insights.

Preferred Qualifications

Experience supporting manufacturing, industrial, or technical eCommerce businesses.
Familiarity with digital quoting platforms, configurator-based workflows, or custom manufacturing environments.
Experience contributing to data modeling initiatives using dbt, LookML, semantic layers, or similar technologies.
Knowledge of experimentation frameworks and product optimization techniques.
Experience working within Agile product organizations.

Why You'll Make an Impact

Help shape product strategy through meaningful, data-driven insights.
Enable product teams to make faster and better business decisions.
Improve customer experiences across our digital manufacturing platform.
Work with global product and engineering teams to build a world-class analytics capability.
Play a key role in driving business growth through actionable insights and continuous product improvement.

Location: Hyderabad, India (Onsite)

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