About The Role

The Data Analyst turns product, customer, and operational data into reliable analysis that supports product decisions, growth planning, and business performance. The role works across SQL-based warehouses such as Snowflake or BigQuery, dbt models, and BI tools to define metrics, investigate trends, and make complex data accessible to decision-makers.

The analyst partners with product managers, engineers, and business leaders to build trusted reporting and answer high-priority questions with rigor. This role matters because consistent metric definitions, well-designed dashboards, and clear analysis directly influence how teams allocate resources and measure outcomes.

Key Responsibilities

Query and analyze large datasets using SQL to identify trends, explain performance changes, and answer recurring and ad hoc business questions
Build and maintain dashboards and reporting in Looker, Tableau, or Mode, ensuring stakeholders have timely access to accurate metrics
Define, document, and monitor core business and product metrics in partnership with product, finance, marketing, and operations teams
Develop reusable data models and transformations in dbt, applying testing and documentation standards to improve reporting reliability
Investigate data quality issues by tracing discrepancies across source systems, warehouse tables, pipelines, and downstream dashboards
Design analyses for experiments, funnels, cohorts, retention, and segmentation; communicate findings with clear recommendations and appropriate caveats
Present concise written and visual analyses to technical and non-technical audiences, translating ambiguous questions into measurable decisions

What We Are Looking For

1–3 years of experience in data analysis, business intelligence, product analytics, or a related quantitative role
Advanced SQL skills, including joins, CTEs, window functions, aggregations, and query optimization on analytical datasets
Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or Databricks SQL
Experience building production dashboards and self-service reporting in Looker, Tableau, Mode, Power BI, or an equivalent BI platform
Working knowledge of data modeling and transformation practices, including dbt, dimensional modeling, metric definitions, and data quality testing
Strong analytical communication skills, with the ability to explain methodology, limitations, and recommendations to varied stakeholders
Bachelor’s degree in statistics, economics, mathematics, computer science, business analytics, or a related quantitative field; equivalent practical experience considered. Bonus: Python or R, experimentation analysis, Amplitude or Mixpanel, Airflow, and experience working with product or marketplace data

Job description