Analyze complex datasets to surface trends and opportunities, build and automate executive and team dashboards, ensure data quality and tracking standards, and present clear, actionable insights to cross-functional stakeholders.
We are seeking a detail-oriented Data Analyst to help transform raw data into actionable business insights. In this role, you will work closely with cross-functional teams—including product, engineering, marketing, and operations—to design dashboards, optimize reporting pipelines, and analyze key performance metrics that drive strategic decision-making.
Key Responsibilities
- Data Analysis & Reporting (40%): Extract, query, and analyze complex datasets using SQL and Python/R to identify business trends, operational bottlenecks, and growth opportunities.
- Dashboard & Visualization Design (30%): Build, maintain, and automate interactive dashboards and reports using tools like Tableau, Power BI, or Looker for executive and team-level decision-making.
- Data Hygiene & Quality (15%): Validate data integrity across internal systems, standardizing tracking protocols and troubleshooting data discrepancies.
- Cross-Functional Collaboration (15%): Translate technical data findings into clear, business-focused insights and present recommendations to key stakeholders.
Qualifications & Requirements
Minimum Requirements:
- Experience: 2+ years of professional experience in data analysis, business intelligence, or a quantitative field.
- SQL: Advanced proficiency in SQL (writing complex queries, joins, aggregations, and CTEs).
- Visualization Tools: Hands-on experience building reports in BI tools (e.g., Tableau, Power BI, Looker, or Metabase).
- Spreadsheets: Advanced skills in Excel or Google Sheets (pivot tables, complex formulas, data modeling).
- Communication: Ability to distill complex data findings into actionable recommendations for non-technical stakeholders.
Preferred Qualifications (Nice-to-Have):
- Proficiency in Python or R for statistical analysis and data manipulation (pandas, NumPy).
- Experience with cloud data warehouses (e.g., Snowflake, Google BigQuery, Amazon Redshift).
- Familiarity with data transformation tools (e.g., dbt) or modern product analytics platforms (e.g., Mixpanel, Amplitude).
- Degree in Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
Key Performance Indicators (KPIs)
- Reporting Efficiency: Timely delivery of accurate recurring reports and ad-hoc analysis.
- Data Accuracy: Maintaining high data accuracy and reliability across central dashboards.
- Stakeholder Impact: High adoption of insights to inform product or operational decisions.
What We Offer
- Healthcare & Wellness: Comprehensive medical, dental, and vision coverage.
- Work-Life Balance: Generous paid time off (PTO), flexible schedule, and hybrid/remote work flexibility.
- Learning & Development: Continuous education stipend for data certifications and tech conferences.
- Financial Perks: 401(k) retirement plan with match and performance-based bonus eligibility.
Equal Opportunity Employer
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
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