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indeed

Senior Analytics Engineer

Lightspeed
Toronto, CAN
Full-time
Executive
Onsite
Discovered 2 weeks ago
SQLDimensional data modelingBigQuerySnowflakeSalesforceNetSuite

Full Job Posting

Role overview

The Data Office is hiring a Senior Analytics Engineer to design and own data models used across financial performance, go-to-market activities, and product insights.

The role partners with Finance, Revenue Ops, Marketing, Product, data owners, and analytics developers.

Responsibilities

  • Build data models for financial reporting, GTM analytics, and product and operational insights; design for scale while shipping incremental value.
  • Translate ambiguous business needs into scoped technical solutions and estimates, and collaborate across upstream and downstream data teams.
  • Maintain model documentation, diagnose root problems, monitor pipeline health, lead incident response, and surface risks.
  • Manage sprint work and planning; mentor junior engineers through coaching, reviews, and technical sessions.

Required qualifications

  • Expert-level SQL, including query performance, maintainable code, and advanced analytical techniques such as window functions.
  • Experience designing enterprise dimensional models on cloud warehouses such as BigQuery or Snowflake, including partitioning, incremental patterns, and optimization.
  • Hands-on modeling of SaaS, CRM, or ERP sources such as Salesforce or NetSuite.
  • Production Dataform or dbt expertise, including materializations, incremental strategies, snapshots, and macros.
  • Effective communication with technical and non-technical stakeholders; security and compliance knowledge covering GDPR, SOX, and data access controls.

Bonus qualifications

  • CI/CD experience such as GitHub Actions; Python or JavaScript data tooling; LookML or an equivalent semantic layer.
  • Familiarity with data contracts, AI/LLM-assisted development workflows, or revenue and finance domains.

Benefits and work environment

  • The posting mentions flexible work, remote work policies, paid time off, equity options, and pension contributions.
  • The company describes a modern data stack including Dataform, BigQuery, Looker, GitHub Actions, and OpenCode.

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