Senior Product Analytics & Operations Leader

Tekmetric

Northern (KY)

Hybrid

USD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Remote work flexibility
Health benefits
401(k) with company match
Paid time off
Home office setup bonus

Job summary

Tekmetric is hiring a Senior Product Operations Manager to lead the analytics and metrics that shape product decisions. You will partner with product leadership to design the metrics program, own modeling of outcomes, and ensure data democratization across teams.

Expect to translate insights into strategic recommendations that influence roadmap and OKRs. You’ll build dashboards and data templates, standardize reporting, and collaborate with Engineering and Data teams to maintain data governance

Qualifications

  • 5-8+ years in Product Operations, Product Analytics, BI, or related roles.
  • Strong foundation in statistics: regression, correlation, and predictive modeling.
  • Experience building and owning analytics programs and metrics.
  • Ability to translate data into actionable recommendations for product decisions.

Responsibilities

  • Design and evolve Tekmetric's product metrics program.
  • Build multi-variable outcome models linking inputs to retention, revenue, and engagement.
  • Apply regression and predictive modeling to validate metric definitions.
  • Develop dashboards and self-service templates for cross-functional teams.
  • Tell compelling data stories for exec reviews and planning cycles.

Skills

Statistical methods
SQL
Data storytelling
Product analytics

Tools

Looker
Pendo
Mixpanel
Redshift

Job description

Tekmetric is hiring a Senior Product Operations Manager to lead the analytics and metrics that shape product decisions. You will partner with product leadership to design the metrics program, own modeling of outcomes, and ensure data democratization across teams.

Expect to translate insights into strategic recommendations that influence roadmap and OKRs. You’ll build dashboards and data templates, standardize reporting, and collaborate with Engineering and Data teams to maintain data governance

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