Senior Data Analyst – Experimentation & Causal Inference
Numentica · United States
Skills in this posting
The posting
This is a remote position. We are looking for a Senior Data Analyst with strong experience in A/B testing, causal inference, and business analytics .
This role will partner closely with business stakeholders to analyze analytic requests, design and interpret experiments, build dashboards, and translate data findings into clear business recommendations.
Key Responsibilities Work with business and product stakeholders on analytics requests Design, analyze, and interpret A/B tests Apply causal inference methods to explain business outcomes Build dashboards and reports in Tableau Present technical findings to non-technical audiences Provide actionable insights that influence product, marketing, and business decisions Required Skills Advanced SQL Strong Python Hands-on Tableau Solid knowledge of statistics, A/B testing, and causal inference Strong communication and stakeholder management skills\ Originally posted on Himalayas
The PivotHop read
- What a data analyst actually earnsmedian, seniority, by country
- What data analysts do insteadevery measured route out
- BI Developer → Data Analyst80% readiness
- Data Engineer → Data Analyst57% readiness
- Product Analyst → Data Analyst45% readiness
- All open data analyst rolesthe full board
Where these skills also reach
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