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Kin Insurance

The world has changed. Why hasn't insurance? Kin. For Every New Normal.

Analytics Engineering Manager

Analytics EngineerAnalytics EngineerOtherRemoteSeniorTeam 501-1,000Since 2016H1B SponsorCompany SiteLinkedIn

Location

Alabama + 35 moreAll locations: Alabama | Arizona | California | Colorado | Connecticut | Florida | Illinois | Iowa | Kansas | Kentucky | Maine | Montana | Nebraska | Nevada | New Jersey | New Mexico | New York | North Carolina | Ohio | Oklahoma | Oregon | Maryland | Massachusetts | Michigan | Minnesota | Missouri | Pennsylvania | South Carolina | South Dakota | Tennessee | Texas | Utah | Vermont | Virginia | Washington | Wisconsin

Posted

154 days ago

Salary

$150K - $185K / year

Seniority

Senior

Bachelor Degree6 yrs expEnglishSQL

Job Description

Analytics Engineering Manager

Kin Insurance

• Provide directional administration of the Looker platform, including permissions, performance considerations, content lifecycle, and development standards • Partner with teams to align on shared metrics and definitions, and guide them through semantic tradeoffs and definition differences • Oversee the care, development, and reliability of Kin’s core dashboards and reports • Partner with data engineers and provide input on dimensional model design and evolution while advocating for best practices that support downstream analytics • Hire and lead analytics engineers, mentoring them on modeling, semantic design, and stakeholder partnership • Develop and implement new analytics and reporting solutions

Job Requirements

  • 6–8+ years in analytics engineering, BI engineering, or data modeling roles
  • Expert-level SQL and dimensional modeling abilities
  • Advanced reasoning related to metrics, definitions, and business meaning
  • Proven ability to design simple, durable semantic layers over complex data
  • Comfort influencing upstream data design without owning ingestion or platform operations
  • Excellent written and verbal communication skills, and ability to align technical and non-technical partners
  • High emotional intelligence and empathy when working through differing perspectives
  • Demonstrated leadership through mentoring, technical direction-setting, or informal team leadership
  • Hands-on experience with modern lakehouse or warehouse platforms (e.g., Databricks) or BI tools (e.g., Looker)

Benefits

  • Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package
  • 401(k) with company match up to 4% of eligible earnings
  • Multiple medical plan options, plus dental and vision coverage
  • Company-funded HSA contributions (based on medical plan selection)
  • Company-paid life insurance and short-term disability
  • Employee referral bonuses
  • A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance
  • Access to mental health support and confidential counseling resources
  • Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 8 company-observed holidays
  • Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents
  • Career mobility and internal growth opportunities across the organization
  • Professional development budgets for certifications, conferences, and learning available, subject to management approval

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