Senior Data Analyst, GTM Analytics - CANADA (Remote)

Luxury Presence

2d•Remote

About The Position

Luxury Presence is seeking a Senior Data Analyst for their GTM Analytics team. This role is crucial in building a modern, agentic analytics practice, including their internal BI-as-code platform, Lighthouse. The analyst will partner with Sales, Marketing, and Client Success leaders to answer complex questions about business performance and contribute to building the infrastructure for AI-forward workflows. The position involves working in two-week sprints alongside Analytics Engineering and reporting to the Senior Manager of Analytics.

Requirements

5+ years in analytics/BI, with significant experience supporting Sales, Marketing, or Customer Success functions at a fast-growing company.
Expert SQL skills.
Hands-on dbt experience modeling GTM data.
Comfortable with Python for analysis and automation.
Experience with Salesforce as a data source, understanding CRM objects, fields, and data modeling nuances.
Familiarity with a modern data stack, including EL tooling (e.g., Fivetran) and a cloud data warehouse (Snowflake preferred, BigQuery experience is a plus).
Strong communication skills, able to frame recommendations clearly for non-technical stakeholders and defend them.
Comfortable with accountability for owning deliverables through to closure.
Energized by ambiguity and fast iteration, thriving in a two-week sprint environment.

Nice To Haves

Experience with at least one modern BI tool (Sigma, Hex, Tableau, Looker, or similar).
Understanding of modern BI organization operations: governed semantic layers, self-serve dashboards, and BI-as-code approaches.
Genuine curiosity about agentic analytics, with experience using AI agents or LLM tools to speed up analysis.
Hands-on experience with Claude Code or a similar coding agent (e.g., Codex) for dbt models, scripting, and analysis.

Responsibilities

Deliver decision-ready analysis across Sales, Marketing, and Client Success, focusing on pipeline health, funnel conversion, campaign and channel performance, cohort/retention, and GRR/NRR drivers.
Partner directly with Sales, Marketing, and CSM stakeholders to scope questions, frame recommendations, and ensure analysis leads to decisions.
Translate stakeholder questions into clear, testable analytical approaches.
Build and maintain dbt models and marts for Sales, Marketing, and CS domains, utilizing Salesforce as a core source system.
Own data quality and documentation for assigned domains, including clear definitions, source-of-truth tables, and QA processes.
Contribute to the development of Lighthouse, the BI-as-code platform, by helping define standards for dashboards, metrics, and semantic models.
Advance analytics workflows towards agentic AI, using AI agents to accelerate analysis, automate reporting, and reduce manual tasks.
Evaluate where AI can replace manual analyst work and where it cannot, demonstrating proficiency in prompting and evaluating AI agents as well as writing SQL.