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Senior Data Analyst
УдалённоПолная занятостьBusiness IntelligenceEnterprise SoftwareData Infrastructure
Own bespoke recurring data feeds from requirements through delivery and maintenance. Develop rigorous methodologies, build production-grade pipelines, and create reusable data components for customer-facing teams and internal stakeholders.
Обязанности
- Own custom recurring feeds from requirements through delivery and ongoing maintenance
- Develop methodologies and acceptance criteria for new metrics
- Build reproducible, tested production pipelines with PySpark and Databricks
- Orchestrate workflows with Airflow and Terraform
- Partner with solution engineers and customer-facing teams on timelines, methodology, and feedback
- Build reusable components and packages
- Collaborate with research and data science teams to reuse and generalize datasets, models, and products
- Explain statistical limitations and findings to non-technical audiences
Требования
- At least 5 years of experience in data analytics or data research with large-scale datasets
- At least 3 years of hands-on Python and PySpark experience at scale
- Strong applied statistics skills, including sampling, estimation, bias and coverage, significance, and uncertainty
- Experience defining data-quality metrics and validations for dependent datasets
- Proficiency with AI-assisted coding tools and the judgment to verify or reject generated output
- Excellent written and spoken English, including customer presentations
- Ability to independently manage deliverables across multiple teams and tight deadlines
- Bachelor's degree in a quantitative field
- Experience with PySpark, Databricks or an equivalent Spark platform, Airflow in production, Terraform or infrastructure as code, and Git-based collaborative development
Будет плюсом
- M.Sc. or MBA
- Academic research experience
Условия и преимущества
- Competitive salary
- Excellent benefits
- Global remote workforce
- Equal opportunity employer
- Drug-free workplace