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Lead Data Analyst (Remote) - Unlock Insights, Drive Business Growth

100% remote Flexible hours Hiring now

Join our innovative team as a Lead Data Analyst and enjoy the freedom to work remotely! We're seeking a highly skilled and motivated professional to lead our data analysis efforts, driving business growth and informing strategic decisions. As a key member of our Data Science & Analytics team, you will have the opportunity to work with cross-functional teams, analyze complex data sets, and develop actionable insights that shape our business strategy.

In this exciting role, you will be responsible for:

  • Developing and maintaining data models, reports, and dashboards to measure business performance and inform data-driven decisions
  • Collaborating with stakeholders to identify business opportunities, prioritize projects, and drive process improvements
  • Designing and implementing data engineering solutions to ensure data accuracy, consistency, and scalability
  • Building and maintaining relationships with business leaders and cross-functional teams to provide strategic guidance and support
  • Ensuring data quality, security, and compliance with industry best practices and regulatory requirements

Responsibilities

  • Create visibility into business operations and product performance, measuring progress against assumptions and identifying areas for improvement
  • Drive business growth by analyzing data, identifying opportunities, and prioritizing projects that align with business objectives
  • Build trust with stakeholders through effective communication, strategic partnership, and data-driven insights
  • Collaborate with Analytics Engineers to design and implement data workflows, ensuring clean, optimized data models
  • Evaluate and produce high-quality code, ensuring accuracy, reliability, and maintainability

Requirements

  • 6+ years of experience in business intelligence, analytics, or decision science, with at least 3 years of experience working with consumer data
  • Proficiency in BigQuery, Snowflake, or similar data warehouse solutions
  • Strong SQL skills and experience with dbt
  • Proficiency in Google Sheets and version control systems
  • Proven ability to work independently and collaboratively in a team environment
  • Experience working with Analytics Engineers, Data Scientists, and Machine Learning Engineers
  • Strong understanding of core consumer tech businesses and key metrics (LTV, retention, CAC, RAC, ARR, ARPC, margin, NPS, CSAT, and behavioral metrics)

Preferred Qualifications

  • Prior experience in the financial planning or consumer technology industry
  • Proficiency in Python and Airflow
  • Experience building reports in scriptable BI tools like Streamlit or Dash

What We Offer

  • Competitive salary ($150,000 - $180,000) + bonus
  • Equity and flexible PTO
  • Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) with employer match, and paid parental leave
  • Certification reimbursement program and opportunities for professional growth and development
  • The freedom to work from anywhere in the US

Join Our Team!

We encourage you to apply, even if you don't feel like a perfect match. We're looking for talented and motivated individuals to join our friendly team. Apply now and take the first step towards an exciting new career opportunity!

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