Senior Data Analyst
About The Position
Weâre looking for a hands-on Senior Data Analyst to join our small but mighty analytics function. This is a role for someone who loves rolling up their sleeves, building dashboards that actually get used, writing SQL to answer real business questions, and digging into messy data until it makes sense. Youâll work across Marketing, Merchandising, Product, Operations, CX, and Finance to help teams understand what the data is telling them. You wonât have direct reports, but youâll have real ownership and high visibility. If youâre comfortable doing the foundational work of a great data organization and excited about growing into more strategic responsibilities over time, this role is for you.
Requirements
- 5+ years of experience in an analytics function with strong problem-solving skills
- Advanced SQL, window functions, CTEs, complex joins, and the ability to debug unexpected results by tracing them back to the data model; working knowledge of data warehousing, relational databases, and dimensional modeling
- E-commerce experience
- Proficiency in a modern BI tool (Looker strongly preferred; Tableau or Power BI acceptable), including building and maintaining the semantic layer
- Statistical rigor: able to distinguish correlation from causation, design and evaluate A/B tests, and communicate findings clearly to non-technical audiences
- Collaborative and curious, experienced in navigating competing priorities, turning ambiguous asks into clear deliverables, and partnering across multiple teams with a growth mindset
- BS in a quantitative discipline (mathematics, statistics, computer science) or equivalent experience
Nice To Haves
- Experience with Snowflake, dbt, and LookML; familiarity with product analytics tools (Heap, Amplitude, Mixpanel) or event collection platforms (Segment)
- Python or R for statistical modeling, simulation, or automation
- Background in customer segmentation, lifecycle analysis, and marketing attribution.
Responsibilities
- Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and promotional impact; perform acquisition, LTV, retention, and customer journey analysis that connects to business action
- Design and evaluate A/B tests, apply significance testing, and translate complex analysis into clear, concise data stories that non-technical stakeholders can act on
- Contribute to data models that support ongoing and ad hoc analysis
- Build and maintain accurate, well-documented Looker dashboards tightly aligned with how teams make decisions; reduce dashboard sprawl and enforce consistent metric definitions across the org
- Proactively surface trends, anomalies, and emerging opportunities through ongoing monitoring; maintain data quality standards and flag upstream issues to data engineering
- Serve as a reliable analytics partner to Marketing, Merchandising, Product, Operations, CX, and Finance
- Help stakeholders understand what they can self-serve (Looker, Heap) versus what needs analytical support; shape vague requests into well-scoped analyses with clear tradeoffs and sequencing
- Partner with product and engineering to define what data should be instrumented based on the questions that matter most
Benefits
- Industry leading health, vision and dental insurance for families (Plans cover 100% for employees and up to 95% for dependents)
- Flexible vacation policy
- Gym partnership with ClassPass
- 401(k) matching plan
- Year-End Company Bonus Plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
