Data Analyst

About this role

About The Role
The Data Analyst turns product, customer, and operational data into reliable reporting and clear business decisions. The role works across SQL-based warehouses such as Snowflake or BigQuery, BI tools such as Looker or Tableau, and modern transformation workflows built with dbt.


The analyst will partner with product, operations, finance, and engineering teams to define metrics, investigate performance trends, and improve the quality of dashboards and recurring analyses. This role matters because trustworthy data is essential to prioritizing product investments, identifying issues early, and measuring business outcomes.


Key Responsibilities

• Write and optimize SQL queries across large relational datasets to answer business and product questions
• Build and maintain dashboards, reports, and self-service analyses in Looker, Tableau, or a comparable BI platform
• Define and document metrics, dimensions, and source-of-truth logic in partnership with stakeholders and data engineers
• Investigate data quality issues, reconcile discrepancies, and communicate findings with clear recommendations
• Develop repeatable analysis workflows using Python, spreadsheets, or dbt to reduce manual reporting effort
• Analyze trends in customer behavior, product usage, revenue, and operational performance to support planning and decision-making
• Present analytical findings to technical and non-technical audiences through concise written summaries and visualizations

What We Are Looking For

• 0–2 years of experience in data analysis, business intelligence, analytics, or a closely related role, including internships or substantial project work
• Strong SQL skills, including joins, CTEs, aggregations, window functions, and basic query optimization
• Hands-on experience with a BI or visualization tool such as Looker, Tableau, Power BI, or Mode
• Working knowledge of Python or R for data cleaning, exploratory analysis, and repeatable reporting workflows...