Senior Data Analyst – Experimentation & Causal Inference
Numentica
This senior data analyst role is a strong early-career move if you want to own real business impact. You'll design and interpret experiments that actually change how a company operates, moving past junior analyst work into strategy and influence.
Day-to-day, you'll partner with product and business teams to tackle analytics requests, design A/B tests, apply causal inference methods to explain outcomes, and build dashboards in Tableau. You'll translate technical findings into clear recommendations that non-technical stakeholders can act on. This mix of technical depth and communication is what separates analysts who stay in the weeds from those who shape decisions.
This role fits you if you have strong SQL and Python, hands-on Tableau experience, and solid grounding in statistics, A/B testing, and causal inference. You don't need a decade of experience—but you do need the fundamentals solid and the ability to explain technical ideas simply. Relevant coursework, personal projects, or internship experience counts.
The position is fully remote in the US. To apply, submit your resume and portfolio (GitHub, Kaggle, or sample dashboards) through CareerJumpShip. Include a brief note on a time you designed an experiment or analyzed a causal question.
About this role
This is a remote position. We are looking for aSenior Data Analystwith strong experience inA/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 interpretA/B tests Applycausal inferencemethods to explain business outcomes Build dashboards and reports inTableau Present technical findings to non-technical audiences Provide actionable insights that influence product, marketing, and business decisions Required Skills AdvancedSQL StrongPython Hands-onTableau Solid knowledge ofstatistics, A/B testing, and causal inference Strong communication and stakeholder management skills\ Originally posted on Himalayas