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

Work from home Full-time role Hiring

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!

Apply for this job

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