Data Analyst

We're hiring a Data Analyst to turn raw data into clear, actionable insight. You'll partner with product, sales, marketing, and operations teams to answer their most important questions with data — building dashboards, running deep-dive analyses, and defining the metrics the business runs on. The ideal candidate is fluent in SQL, comfortable wrangling messy datasets, and just as strong at telling the story behind the numbers as they are at producing them. You'll own the accuracy and trustworthiness of the reporting stakeholders rely on to make decisions.

Key Responsibilities

Design, build, and maintain dashboards and recurring reports across business functions

Write and optimize SQL queries to extract, join, and transform data from multiple sources

Run ad-hoc and deep-dive analyses to answer specific business questions

Define, document, and standardize metrics and KPIs alongside stakeholders

Investigate data-quality issues and ensure the numbers people see are accurate

Translate analysis into clear recommendations and present them to non-technical audiences

Support experimentation and A/B test analysis where relevant

Automate repetitive reporting to free up time for higher-value analysis

Requirements

3+ years in a data analyst or business-intelligence role

Strong SQL and hands-on experience with Power BI and/or Tableau

Working knowledge of Python (pandas/numpy) for analysis

Solid grounding in statistics and analytical methods

Advanced Excel and strong data-visualization / storytelling skills

Ability to work independently with stakeholders across functions

Nice to have

Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)

Exposure to dbt or other ETL/transformation tooling