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