Analytics Engineer (Customer Solutions) at Polar Analytics
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

25 Nov, 25

Salary

0.0

Posted On

26 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Marketing/Advertising/Sales

Description

POLAR ANALYTICS: THE ALL-IN-ONE DATA PLATFORM FOR CONSUMER BRANDS

Polar Analytics simplifies data so brands can make smarter, faster decisions without the complexity of traditional tools. Powerful yet user-friendly, it gives DTC brands the insights they need to scale profitably.
Our mission? To help indie DTC brands compete and grow—faster and more profitably.

THIS JOB IS MADE FOR YOU IF:

  • You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge
  • You thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work
  • You sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards
  • You want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Own the semantic layer for commerce agents - Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel
  • End-to-end impact from pre-sale to expansion - Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities
  • High-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV
  • Strategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development
Loading...