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Analytics Engineer (Customer Solutions) - Remote

Posted Yesterday
Data Analysis
Full Time
Worldwide

Overview

The Analytics Engineer at Polar Analytics will play a crucial role in transforming raw commerce data into actionable insights, supporting indie DTC brands in their growth and competitiveness.

In Short

  • Own the semantic layer for commerce agents.
  • Design proofs of concept to accelerate sales cycles.
  • Collaborate closely with revenue leaders.
  • Drive $1M ARR per quarter through technical closes.
  • Launch successful features monthly based on customer needs.
  • Build strong relationships with key stakeholders.
  • Partner with Customer Success for upsell opportunities.
  • Thrive on direct customer interaction.
  • Ensure quality and timely implementations.
  • Influence company direction through data insights.

Requirements

  • Strong technical foundation in SQL and data integration.
  • Ability to translate technical concepts into business value.
  • Experience in eCommerce or SaaS environments.
  • Proven track record in customer engagement.
  • Bias towards action and commitment to quality.

Benefits

  • Choice-first work culture focused on impact.
  • 5 weeks of vacation.
  • Competitive salary and equity.
  • Latest MacBook for work.
  • Remote office upgrade budget in the first year.
  • Private health insurance based on location.
  • Company-wide offsites every 6 months.
Polar Analytics logo

Polar Analytics

Polar Analytics is an innovative data platform designed specifically for consumer brands, particularly direct-to-consumer (DTC) businesses. The company aims to simplify data management, enabling brands to make informed decisions quickly and efficiently without the complexities associated with traditional data tools. With a mission to empower indie DTC brands to compete and grow profitably, Polar Analytics has rapidly scaled to over 4,000 active merchants and is backed by prominent investors. The team comprises eCommerce experts dedicated to building a user-friendly platform that delivers enterprise-level insights, fostering a high-impact environment where data-driven decisions shape customer success and product development.

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