DaySmart

Data Analyst

DaySmart

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $85,000 - $95,000 per year

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