Skills

Communication Python Tableau Data Analysis SQL Data Visualization Statistical Analysis A/B Testing Marketing Analytics Analytical Thinking

Job Specifications

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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About the Company

Gracemark is a minority-owned staffing, recruitment, and global payroll firm. We provide professional contractors worldwide, temporary staffing, international payroll solutions, and recruitment services across the US, Canada, Latam, Europe, Africa, and Asia. We work with expanding brands and MSP/VMS providers to support their local and international projects in 145 countries. We aim to produce agile and pragmatic results to become a valuable solutions provider for our clients and partners. For over a decade, many of the worl... Know more