Product Data Analyst

As a Product Data Analyst, you'll be the go-to data partner for our product organization. You'll collaborate closely with product managers, engineers, marketing, and business teams to build trusted metrics, enable self-serve analytics, and uncover insights that drive product decisions.

The core responsibilities for the job include the following:

Drive data across the organization:

• Be the primary point of contact for data requests across product, marketing, and business teams, managing priorities and delivering timely insights.
• Write efficient, complex SQL queries on ClickHouse to answer both ad-hoc and recurring business questions.
• Translate ambiguous stakeholder requests into scalable queries, intuitive dashboards, and self-serve analytics.
• Automate reporting and data workflows to improve efficiency and enable self-serve analytics.
• Present insights clearly to both technical and non-technical stakeholders, enabling data-driven decisions.

Build trusted metrics:

• Own KPI dashboards that provide an accurate, real-time view of product and business performance.
• Maintain a single source of truth for key product metrics, ensuring consistency, reliability, and accuracy across teams.
• Set up scheduled reports, alerts, and role-based access (RBAC) so the right stakeholders have access to the right data at the right time.

Shape product decisions:

• Partner with Product Managers to define success metrics and measure the impact of new features.
• Perform deep dives into user adoption, engagement, retention, cohorts, and conversion funnels to uncover meaningful insights.
• Identify trends, anomalies, and opportunities that influence product strategy and improve user experience.

Requirements:

• 2-3 years of experience as a Product Analyst or Data Analyst in a product-driven environment.
• Strong SQL expertise with hands-on experience in CTEs, window functions, query optimization, and complex analytical queries.
• Experience working with columnar databases such as ClickHouse, BigQuery, Redshift, or similar.
• Hands-on experience building BI dashboards using Superset, Tableau, Power BI, or Looker (including RBAC configuration), with a strong understanding of product analytics concepts such as funnels, cohorts, retention, engagement, and feature adoption.
• Experience working with event analytics platforms such as Mixpanel, CleverTap, or similar.
• Experience automating recurring reports and building scalable data workflows.
• Strong stakeholder management and communication skills, with the ability to influence decisions through clear, data-driven storytelling.
• A proactive, ownership-driven mindset with a passion for solving product problems through data.