Senior Data Analyst

5 days ago

Toronto, Ontario, Canada GraceMark Solutions Full time $90,000 - $120,000 per year

Senior Data Analyst – Marketing Analytics (Hybrid – Toronto)


Location:
Toronto, ON (Hybrid – onsite Mon/Wed/Thu, 9am–5pm, 40 hrs/week)


Contract:
Full-time | Possibility to extend


Interview Process:

  • Round 1:
    Live SQL & Python coding assessment with a team member
  • Round 2:
    Panel Interview (Collaboration & Communication with 3 team members)

Role Overview

We're seeking a
Senior Data Analyst (Marketing Analytics)
to join a high-impact analytics team. This role is ideal for a hands-on analyst who's passionate about storytelling with data, driving marketing strategy, and translating insights into measurable business outcomes.

You'll partner closely with the Product Marketing team to perform strategic analysis, measure campaign impact, and connect marketing initiatives to downstream product engagement and customer behavior.

Key Responsibilities

  • Perform complex data analysis using both first-party and third-party datasets to uncover actionable business insights.
  • Conduct deep-dive analyses to evaluate campaign performance, ROI, and channel effectiveness—explaining not just
    what happened
    , but
    why
    .
  • Build, maintain, and optimize dashboards and reports to track key marketing KPIs and performance trends.
  • Design and analyze experiments (A/B tests) to measure business impact and validate hypotheses.
  • Define, monitor, and report on key marketing metrics, performing deep dives to identify performance drivers.
  • Translate complex data into clear, compelling narratives for non-technical stakeholders.
  • Collaborate with marketing and product teams to refine strategies, set goals, and improve campaign execution.

Qualifications

  • Degree in
    Analytics, Statistics, Economics, Marketing
    , or a related quantitative field (or equivalent work experience).
  • 5+ years of experience
    in a marketing analytics or data-driven marketing role.
  • Strong SQL proficiency
    — able to write optimized, efficient queries on large datasets.
  • Experience with A/B testing
    design and analysis.
  • Familiarity with
    Marketing Mix Modeling (MMM)
    or
    Attribution Modeling
    is a plus.
  • Advanced
    Excel/Google Sheets
    skills for analysis and modeling.
  • Experience with
    data visualization tools
    such as
    Tableau
    ,
    Looker
    , or similar.
  • Working knowledge of
    Python
    or
    R
    for statistical analysis is a strong advantage.
  • Exceptional analytical thinking with the ability to simplify complex data into actionable insights.
  • Strong presentation and storytelling skills—able to communicate technical findings effectively.
  • Detail-oriented and dedicated to maintaining high data quality standards.
  • Collaborative mindset with experience working cross-functionally in fast-paced environments.
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