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Statistics 🏢 Full Time ⭐️ Verified

Senior Statistics Analyst

NovaMetrics
San Francisco
Salary Estimate
USD 120.000 – USD 170.000
Posting Time
5 Mei 2026
Deadline
5 Mei 2027

Job description

Join NovaMetrics, a leading analytics firm, as a Senior Statistics Analyst based in San Francisco. You will design and execute rigorous statistical analyses to inform product strategy and business decisions. You will collaborate with data scientists, engineers, and business stakeholders to translate complex data into actionable insights and scalable models.

We value curiosity, methodological rigor, and clear communication. This role offers opportunities to lead studies, mentor junior analysts, and contribute to a data-driven culture.

Location based, cross-functional collaboration, and a passion for turning numbers into impact are essential.

Responsibility

  • Lead statistical analyses for product, marketing, and customer analytics initiatives, applying regression, time-series, Bayesian, and experimental design methods.
  • Design and run experiments (A/B and multi-armed tests), power analyses, and causal inference studies.
  • Collaborate with data engineers to ensure robust data pipelines, data quality, and reproducible workflows.
  • Build and maintain statistical models and dashboards to monitor key performance indicators and business outcomes.
  • Translate complex findings into clear narratives and present recommendations to cross-functional teams and leadership.
  • Mentor junior analysts, review code and methods, and contribute to best-practice standards for statistical analysis.
  • Contribute to data governance, documentation, and reproducible research practices.

Qualification

  • Master's degree or PhD in Statistics, Mathematics, Economics, or a quantitative field.
  • 5+ years of hands-on statistical analysis experience in industry or research settings.
  • Proficiency in R or Python for statistical modeling; strong SQL skills.
  • Experience with SAS is a plus; knowledge of data visualization tools (Tableau, Power BI, or ggplot).
  • Strong knowledge of experimental design, hypothesis testing, regression, time-series, and Bayesian methods.
  • Ability to translate data findings into business decisions; excellent written and verbal communication skills.
  • Experience with Git and reproducible research practices; comfortable working in cross-functional teams.
  • Willingness to be in the San Francisco area for occasional in-office collaborations.

Required Skills

statistical analysis R Python SQL SAS data visualization experimental design hypothesis testing regression modeling Bayesian statistics time series data wrangling Git Tableau Power BI

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