Senior Data Analyst
New
R
RainFintech Payments
For US RainmakersFull-TimeSenior
Salary$50K - $999K; $50K – $999K • Offers Equity • Offers Bonus
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Job Details
- Experience
- 3–5+ years
- Required Skills
- PythonSQLData modelingA/B testingdbtLooker
Requirements
- 3–5+ years of experience in data analytics, product analytics, business analytics, data science, consulting, or related analytical roles.
- Advanced SQL expertise, including complex joins, query optimization, data modeling concepts, and working with imperfect or evolving datasets.
- Strong experience with BI and analytics tools such as Metabase, Mode, Lightdash, Hex, Looker, or similar platforms.
- Experience designing intuitive dashboards and self-service reporting solutions.
- Familiarity with experimentation frameworks, A/B testing, cohort analysis, and performance measurement.
- A structured approach to problem solving and the ability to turn ambiguous questions into clear analyses, actionable insights, and recommendations.
- A strong bias for action and comfort owning end-to-end analytical work, from problem framing and data extraction to insight generation and execution support.
- Excellent communication skills and experience acting as a trusted thought partner to both technical and non-technical stakeholders.
- Proficiency in Python for analytics and automation (bonus).
- Experience with dbt and analytics engineering best practices (bonus).
- Experience in fintech, payments, card programs, banking infrastructure, or related domains (bonus).
Responsibilities
- Build dashboards, metrics, and data products that enable self-serve analytics, providing clear and trusted insights that drive operational and product decisions.
- Establish a proactive insights cadence, surfacing opportunities, risks, and trends before stakeholders have to ask.
- Partner with Product, Engineering, and Operations to define, measure, and improve the metrics that matter most.
- Own data quality and metric governance, ensuring key business questions can be answered accurately and reliably.
- Design and analyze experiments, helping teams evaluate product changes and make data-informed decisions.
- Perform user segmentation, cohort analysis, and behavioral analysis to uncover opportunities for growth, engagement, and retention.
- Translate ambiguous business questions into analytical frameworks, actionable recommendations, and measurable outcomes.
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