What is a Data Analyst?
A data analyst turns raw data into insights that drive business decisions — building dashboards, running ad hoc analysis, interpreting user behavior, and helping teams understand their metrics. At a startup, data analysts are often the first data hire: they establish reporting infrastructure, answer business questions with data, and democratize analytics across the organization.
At what stage should you hire a Data Analyst?
Series A through Series B, when the company has enough data to analyze and enough open business questions that manual data pulls are consuming significant engineering or leadership time. The prerequisite: a data warehouse (BigQuery, Snowflake, or Redshift) with reliable event data. The analyst can't do their job without a foundation to query against.
Common titles for this role
- Data Analyst
- Business Analyst
- Analytics Analyst
- Product Analyst
- Growth Analyst
- Senior Data Analyst
What does a Data Analyst do at a startup?
- Build and maintain dashboards for product, sales, marketing, and finance teams
- Answer ad hoc analytical questions from stakeholders across the organization
- Analyze user behavior data to identify growth opportunities and diagnose funnel problems
- Design and evaluate A/B experiments with statistical rigor
- Build and document data pipelines for key business metrics
- Partner with engineering to define event tracking and data schema standards
- Contribute to data democratization: documentation, training, self-serve tooling
Key skills and qualifications
- Strong SQL proficiency — window functions, CTEs, complex joins, query optimization
- Experience with BI tools: Looker, Mode, Tableau, or Metabase
- Python or R for statistical analysis and data manipulation
- Solid grasp of statistics: hypothesis testing, confidence intervals, A/B test design
- Clear communication: ability to explain analytical findings to non-technical stakeholders
- Experience with data warehouses: BigQuery, Snowflake, or Redshift
Why hire your Data Analyst through RFS?
- Data analyst is often the first analytics hire at a startup — we screen for both technical depth and business acumen
- 29-day average time to hire — analytics searches move fast with our pre-vetted pool
- 300+ placements at VC-backed companies including data and analytics roles
- Pre-vetted for SQL depth, BI tool proficiency, and startup adaptability
- No upfront fees
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