3 дня назад
Senior Data Analyst / Senior Analytics Engineer
155 000 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst / Senior Analytics Engineer (Data Analytics): Translating complex healthcare and product data into actionable insights and building scalable analytical foundations with an accent on trusted metrics, data quality, and cross-functional decision-making. Focus on designing analytics data models and architecture, implementing statistical analysis and monitoring, and mentoring analysts to improve data storytelling and stakeholder influence.
Location: Hybrid, with three days per week in the San Francisco or Toronto offices
Estimated base salary: $155,000–$195,000 in Toronto or $182,000–$230,000 in San Francisco, plus equity.
Company
is a vertical SaaS company using technology and AI to help personal injury law firms and victims achieve faster settlements and better outcomes.
What you will do
- Work with Revenue Operations, Finance, and Customer Success to define trusted business metrics and improve operational workflows.
- Analyze complex healthcare and product datasets and translate findings into strategic recommendations and measurable actions.
- Communicate analytical results clearly and tailor insights to different audiences.
- Build and evolve event instrumentation, metric frameworks, and scalable self-serve analytics tools.
- Mentor analysts and raise standards for data storytelling, analytical rigor, and stakeholder influence.
Requirements
- Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent practical experience.
- 5+ years of experience building and maintaining analytics data models with tools such as dbt.
- 5+ years of experience designing analytics architecture and data layers for multiple business functions and reporting use cases.
- 5+ years of experience implementing data quality checks, testing, and monitoring for reliable reporting.
- Experience with Python or R, applied statistical techniques, and BI tools such as Metabase, Looker, or Tableau.
- Strong mentorship and leadership skills, with experience developing junior talent and supporting sales, funnel, or pipeline analytics.
Nice to have
- Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
- Experience working with sales organizations and familiarity with funnel and pipeline processes.
Culture & Benefits
- Hybrid work with hubs in San Francisco and Toronto and a local in-person meet-up program.
- Medical, dental, and vision insurance, with additional life, accident, and critical illness coverage.
- Flexible paid time off, sick leave, short- and long-term disability coverage, and paid parental leave.
- 401(k) for US-based employees and RRSP for Canada-based employees.
- Home office stipend, US observed holidays, and Canadian statutory holidays by province.
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