Senior Manager - Personalization Analytics

Post Date

Jul 16, 2025

Location

Toronto,
Ontario

ZIP/Postal Code

M5V2V9
Canada
Jun 04, 2026 Insight Global

Job Type

Contract

Category

Data Warehousing

Req #

TOR-795656

Pay Rate

$38 - $48 (hourly estimate)

Who Can Apply

  • Candidates must be legally authorized to work in Canada

Job Description

What You'll Do
Lead and mentor a high-performing analytics team, fostering a culture of excellence and
continuous learning.
Act as a subject matter expert on all aspects of Personalization from a Product
Management perspective.
Support the strategy, development, execution, and measurement of data-driven product
strategies, personalization initiatives, and customer engagement initiatives.
Develop and implement strategies to drive customer engagement and growth, using
data-driven insights to inform decision-making.
Leverage a diverse set of technical tools to derive deep and actionable insights from
loyalty, product, and customer data to inform product growth strategies.
Scope, develop, and maintain analytical dashboards & reports that contain actionable
metrics to monitor product performance and inform strategic decision-making.
Forecast, track, and analyze performance to maximize digital conversions, engagement
and incremental opportunities.
Automate and scale processes to improve analytical throughput.
Understand and map customer journeys, identifying key touchpoints and opportunities
for engagement and improvement.
Design and conduct experiments to understand the impact of product changes on
customer behavior, using the findings to inform product development and strategy.
Collaborate with both technical and non-technical stakeholders, communicating insights,
identifying opportunities and effectively managing priorities and expectations.
Develop and imp

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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Required Skills & Experience

5+ years of hands-on experience in an analytical role and proven ability to work with
relevant tools (SQL, Python/R, etc.)
Ability to generate meaningful customer insights from large volumes of complex data
(particularly web/app clickstream and product data).
Experience using data analysis and modeling to better understand customer journeys
using transactional and behavioral data sets.
Proven experience owning and/or contributing to advanced analytics projects and
models.
Experience collaborating with technical and non-technical stakeholders/team members
to communicate insights, identify opportunities and define solutions.
Comfortable building compelling dashboards with data visualization tools (Looker,
Looker Studio, PowerBI, Tableau or similar).
Hands-on experience with statistical analysis (Experimental Design, Hypothesis Testing,
ANOVA, GLM, etc.)
Naturally curious, always looking for the why and not afraid to dive deep to get answers.
Effective communication skills, and collaborative mindset.
Experience with automation of processes or working with data pipelines is an asset.
Experience in retail analytics (CRM, Loyalty, etc.) is an asset

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.