Data Analyst
A fast-growing, data-driven enterprise partners with Fortune 500 clients and disruptive startups alike. The culture prizes curiosity, integrity, and continuous learning. You’ll collaborate with senior data scientists, product managers, and C-suite leaders to deliver decisions that matter.
Responsibilities
- Clean, normalize, and merge structured and semi-structured data from multiple sources.
- Build automated Excel and Google Sheets reports that update key performance indicators daily.
- Write simple SQL queries to extract datasets for ad-hoc questions and recurring dashboards.
- Visualize trends in Tableau or Power BI, choosing the best chart types for clarity and impact.
- Document data definitions, calculation logic, and assumptions in a shared Confluence space.
- Track metric movements, flag anomalies, and suggest hypotheses worth deeper analysis.
- Present concise findings—both verbally and in slide decks—to cross-functional partners.
- Shadow senior analysts on A/B test design, statistical significance checks, and cohort studies.
- Stay current on analytics tools, cloud data warehouses, and privacy regulations.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related STEM field.
- Proficiency with Excel functions (VLOOKUP, INDEX/MATCH, pivot tables) and basic data cleaning.
- Introductory SQL knowledge—SELECT, WHERE, GROUP BY, JOIN—in any relational database.
- Ability to explain patterns in plain English and tailor depth to the audience.
- Meticulous attention to detail; you validate totals before sharing numbers.
- Strong time-management skills; you juggle several tasks without missing deadlines.
Preferred (Not Required)
- Coursework or project experience in Python (pandas, numpy) or R.
- Familiarity with BI platforms such as Tableau, Power BI, or Looker.
- Exposure to cloud data ecosystems (BigQuery, Snowflake, Redshift).
- Knowledge of A/B testing concepts and basic statistical inference.