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Senior Data Analyst

1 month, 2 weeks ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
dbt Matplotlib Pandas Python Scikit-learn Seaborn Snowflake SQL
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Trust & Will

Trust & Will

Trust & Will is an online service that offers modern estate planning solutions to help families create, edit, store, and share their Trust or Will legal documents. With step-by-step guidance and unlimited support, Trust & Will simplifies the process of...

Specialized Consumer Services
51-250
Founded 2017
$38M raised
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Description

  • Own data models within the lakehouse, including SQL performance, documentation, testing, and data integrity.
  • Architect the semantic layer and analytical structures for self-service BI and AI-assisted exploration.
  • Partner with marketing, engineering, and senior leadership on analytical workstreams and roadmap decisions.
  • Deliver concise, data-driven recommendations to executives and other stakeholders.
  • Manage recurring reporting, including the 13-week Marketing Monitor covering sales, revenue channels, and unit economics.
  • Scale and optimize dashboards used for weekly strategic planning and calibration.
  • Monitor pipeline freshness and data quality, investigate anomalies, and distinguish noise from meaningful business changes.
  • Translate business questions into scoped analyses using Snowflake and SQL, then provide actionable recommendations.
  • Proactively identify trends, risks, and opportunities across business data.
  • Mentor junior analysts and establish team-wide standards for methodology, documentation, and communication.

Requirements

  • 5–9+ years of experience in analytics, data science, data engineering, or a related quantitative field.
  • Experience working in a high-growth startup with ambiguous data, limited resources, and shifting priorities.
  • Experience building data models, evaluating data pipelines, and owning a data domain end to end.
  • Advanced SQL skills, including window functions, CTEs, complex joins, and query optimization on large datasets.
  • Proficiency with Python and analytical libraries including pandas or polars, statsmodels, scikit-learn, and matplotlib or seaborn.
  • Experience with ThoughtSpot, Omni, or equivalent BI and visualization tools.
  • Familiarity with dbt and analytical modeling approaches such as activity schemas and star schemas.
  • Strong experimentation, statistical analysis, stakeholder communication, and business recommendation skills.
  • Must reside in California, Colorado, Florida, Georgia, Idaho, Illinois, Maryland, New Jersey, New York, North Carolina, Pennsylvania, Texas, Vermont, Nevada, or Utah.
  • Preferred: experience in a regulated consumer industry, PLG or B2B2C models, building analytics functions, or AI-assisted self-service analytics.

Benefits

  • $140,000–$180,000 salary plus equity package.
  • Flexible PTO, paid holidays and breaks, monthly friends-and-family days, and paid volunteer time.
  • Medical, dental, vision, life, and disability insurance; the company covers 100% of employee and dependent medical premiums.
  • Mental health support, primary care access, and family planning and caregiving resources.
  • Financial wellness coaching and a 401(k) with up to a 4% company match.
  • Remote-first work with flexible schedules and a family-friendly environment.
  • Up to $1,000 annual learning and development reimbursement.
  • $500 work-from-home stipend, Apple accessories, and optional company events and travel.

Interested in this position?

Apply directly on the company website

Apply Now

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