
Data Analyst
DaySmart
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $85,000 - $95,000 per year
Tech Stack
About the role
- Act as a data partner for our marketing, product, and customer success teams, providing both day-to-day support and longer-term strategic analyses
- Collaborate with the product and marketing teams to design metrics, build funnels, and strategize how to measure the success of projects
- Build and maintain key company dashboards, self-service reporting tools, and the data models that support them
- Work with people across the organization to conduct analyses and support decision-making
- Own the end-to-end analytics workflow, from defining the question and pulling data to delivering insights and recommendations
- Translate ambiguous questions into clear analyses and actionable recommendations for non-technical stakeholders
Requirements
- 2+ years of professional experience in a quantitative or analytical role
- Proficient writing SQL to query relational databases (we use Postgres and Redshift)
- Comfortable using Excel to explore data and communicate your findings
- Experience designing reports and dashboards in a data visualization or business intelligence tool (we use Metabase and Sigma)
- Experience planning and conducting A/B tests
- Skilled communicator and collaborator, and experience working with a variety of stakeholders
- Curious about how things work and eager to use that curiosity to solve challenging problems
- Experience with analyzing large amounts of data
- Prefer experience with dbt and/or Mage
Benefits
- Competitive salary and benefits including medical, dental, vision, HSA, FSA, and more!
- 401k plan with company match on your contributions.
- Open PTO and a generous paid holiday schedule.
- Supportive work environment with the flexibility to work where/how you want in-office, remote, or hybrid.
- Opportunities to ensure you are always learning and growing.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata analysisdata modelingA/B testingdata visualizationreport designExcelPostgresRedshiftdbt
Soft skills
communicationcollaborationcuriosityproblem-solvingstakeholder engagement