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Added 5 mins ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
…applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools. Understanding business…
Added 5 mins ago
Manager, Local Sales, Calgary
Bell
Calgary, AB
Lead, coach, and support Account Executives and sales support teams to achieve and exceed revenue objectives.
Added 5 mins ago
MC
Manager, Business Banking Credit
Meridian Credit Union
Guelph, ON
- $79,100 to $110,000 CAD / year
- Full-time
…while driving profitable growth. A key responsibility is to lead a team of Analyst and Senior Analysts, with a mandate to train, develop and…
Added 6 mins ago
MD
IT Quality Analyst/Tester/SEBT Specialist - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…those led by more senior Quality Assurance Analyst/Testing Lead (ITS4 and ITS5). The QA staff at this level require more direction, coaching, and mentoring when leading the quality…
Added 6 mins ago
TU
Clinical Research Coordinator
The University of British Columbia
Vancouver, BC
- $4,845.17 to $5,713.66 CAD / month
- Full-time
…enrollment. Additionally, they will ensure that samples and data are properly collected and…
Added 6 mins ago
TI
Senior AEM Lead Web Publisher
Tekgence Inc
Toronto, ON
- Contract
We are looking for a Senior AEM Lead Web Publisher with strong experience in Adobe Experience Manager (AEM), web content management, and digital publishing. The candidate will be…
Added 6 mins ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
…Digital Officers, Customer Experience leaders, Product leaders, Data and Analytics leaders, and other business decision-makers. The Interactive Partner serves as a trusted advisor, helping…
Added 6 mins ago
KI
PL/SQL Developer in Montreal, QC- Canada - Interviews this weekend
KPG99 INC
Montreal, QC
- Contract
Experience with Python or Perl scripting for automation and data processing
Added 6 mins ago
NG
EPIDEMIOLOGIST
Nunatsiavut Government
Happy Valley-Goose Bay, NL
- Full-time
Lead collection and analysis of epidemiological data from a variety of sources and provide interpretation to key stakeholders, including but not limited to, elected officials, policy…
Added 6 mins ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
N2P Systems is seeking an experienced Data & Analytics Solutions Architect to lead the design and modernization of enterprise data, analytics, and AI platforms using AWS and Snowflake. This…
Added 6 mins ago
PC
Senior Associate, Financial Services, Digital Banking Operations, Consulting
Pwc Canada
Toronto, ON
- Full-time
A career within the Financial Services Banking Operations team will provide you with the opportunity to use data, technology and industry expertise to design strategies and transformational…
Added 21 mins ago
WS
Manager IT Service Management (ITSM)
Workplace Safety and Insurance Board (WSIB)
London, ON
- Full-time
…delivered across the organization. You’ll have the opportunity to lead an experienced team, advance our ITSM maturity and help shape service management practices in a large, complex…
Added 21 mins ago
MM
Global Financial Crime Screening Operations Manager
Marsh McLennan
Toronto, ON
- Full-time
Lead calls with regional stakeholders in Operations, local IT or Legal and Compliance to assess screening requirements for new systems or products, responsible for providing clear written…
Added 21 mins ago
HRIS Manager
Superior Plus Propane Talent Acquisition
Cambridge, ON
compliant, and scalable, while also enabling strong HR analytics, data integrity, and a consistent
Added 21 mins ago
R
Associate Director, Operational Resilience
RBC
Toronto, ON
- Full-time
…control environment and organizational preparedness. You will lead reporting activities and analytics to assess the effectiveness of resilience programs, provide data-driven insights to…
Added 22 mins ago
B
Intern, HR Business Partner Support and Data Analytics (Winter 2027)
Bombardier
Dorval, QC
- Volunteer
Lead and support ad hoc HR projects based on business needs.
Added 22 mins ago
DG
Analyste, Intégration financière
Dandurand Group
Montreal, QC
- Full-time
…accounts, validating balances, and building the clean financial data that everything else relies…
Added 22 mins ago
BG
Vice President, Business Operations
Brandt Group of Companies
Regina, SK
- Full-time
Champion the use of data analytics and CRM systems to drive informed decision-making, sales efficiency, and fan engagement.
Added 36 mins ago
T
Sr. Product Solution Analyst, TD Securities
TD
Toronto, ON
- Full-time
Lead, inspire, and build relationships with internal and external business partners and stakeholders to foster effective collaboration.
Added 36 mins ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 36 mins ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 36 mins ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The Lead Data Scientist will work hands-on across the AI and analytics development lifecycle. The role will design analytical approaches, develop and validate models, build Generative AI…
Added 51 mins ago
M
Program Manager, Investigation Services
Manulife
Halifax, NS · Kitchener, ON · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Experience using data and analytics to support fraud detection or investigations.
Added 51 mins ago
P
Manager, Data Integration
Prophix
Remote, Canada
- Full-time
- Remote
As the Manager, Data Integration, you lead the team responsible for connecting customer source systems to Prophix's software. You own the integration function within Professional Services…
Added 51 mins ago
MD
Clinic Network Specialist, Planner Principal State
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
This role serves as the primary clinical systems lead for both the National Breast and Cervical Cancer Early Detection Program (NBCCEDP) and the Minnesota SagePlus program. The position…

EXL

Lead Data Analyst

Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Lead Data Analyst

Remote; Canada

$90k-130k plus annual bonus

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

EXL is looking for a Lead Data Analyst with a passion for sports who will play a key role in providing analytics support to a client within our Sports, Media and Entertainment practice. Based in Toronto, the role sits within the International Fan Data & Analytics team, supporting fanbase growth and engagement across international markets.

The ideal candidate brings 5–7 years of analytics experience, excellent communication and stakeholder management skills, and a strong understanding of the fan lifecycle. You are comfortable working through ambiguity, confident presenting to audiences who are not technical, and motivated by helping the analysts around you do their best work.

Responsibilities

Stakeholder Partnership & Communication

Act as the main analytics point of contact for marketing, international and regional stakeholders, building trusted working relationships across the client organization.

Translate ambiguous business questions into clearly scoped analysis with agreed objectives, success measures and timelines.

Present findings and recommendations to senior stakeholders, tailoring the level of detail to the audience and leading the discussion that follows.

Write clear summaries and narratives that make complex analysis easy to act on, and challenge or reframe requests where the data points to a better question.

Manage expectations on scope, priorities and delivery dates, and keep stakeholders informed as work progresses.

Team Leadership & Mentorship

Serve as the senior analyst on the team: set analytical standards, review other analysts’ work and give constructive, practical feedback.

Mentor and coach junior and mid-level analysts on technical skills, business context and stakeholder communication.

Prioritize and coordinate incoming analytics requests across the team, allocating work and unblocking colleagues.

Build and maintain documentation, reusable code and shared definitions so the team’s work is consistent and repeatable.

Hands-on Analysis

Write efficient SQL and Python to extract, clean, transform and analyze large fan and marketing datasets.

Work within cloud data platforms (Databricks, Snowflake, AWS) to build and maintain analytical datasets and workflows.

Develop audience segments and test/control designs that support 1:1 marketing campaigns and deepen fan engagement.

Summarize large data outputs into clear, business-friendly takeaways.

Reporting, Advanced Analytics & Data Quality

Own the recurring reporting on fan growth, engagement and lifecycle metrics across international markets.

Monitor campaign and go-to-market (GTM) performance against agreed KPIs and success criteria, and recommend where to optimize.

Develop and maintain advanced analytics models, such as segmentation, propensity, churn and customer lifetime value, and translate their output into recommendations stakeholders can act on.

Build and maintain forecasts of fan growth, engagement and campaign performance to support planning and target setting across international markets.

Measure and validate model and forecast accuracy over time, and refine the approach as markets and data evolve.

Support user acceptance testing (UAT) of database changes and help data engineering teams with root cause analysis (RCA) of data issues.

Work with data engineering on business requirements, and liaise with third-party partners on data needs and definitions.

Required Qualifications

Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Business or a related field, or equivalent experience.

5–7 years of experience in a data analyst or similar role, including experience working directly with business stakeholders.

Demonstrated ability to present analysis to senior, non-technical audiences and influence decisions.

Experience mentoring, coaching or reviewing the work of other analysts.

Strong SQL skills, including complex joins, aggregations and window functions.

Proficiency in Python for data analysis (e.g., pandas, NumPy).

Hands-on experience with at least one cloud data platform: Databricks, AWS or Snowflake.

Experience building advanced analytics models and forecasts (e.g., segmentation, propensity, churn, time series) and applying them to business decisions.

Strong analytical and problem-solving skills, with close attention to detail.

Preferred Qualifications

Experience with BI and visualization tools (e.g., Tableau, Power BI, Looker).

Experience in marketing, CRM or customer analytics.

Knowledge of consent management, identity resolution or privacy regulations such as PIPEDA and GDPR.

Experience in a consulting or client-facing environment.

Passion for sport and an understanding of global fan cultures.

Responsibilities

Responsibilities:

Identify and shape analytics opportunities with league and club stakeholders

Build trusted relationships with club and league stakeholders and understand their strategic priorities, business challenges, and opportunities.

Proactively identify areas where data and analytics can help clubs grow their fan base, increase revenue, and deepen fan engagement.

Translate business problems into well-defined analytics opportunities, hypotheses, and use cases

Help prioritize opportunities based on business impact, data availability, scalability, and feasibility

Translate business needs into analytics solutions

Partner with data scientists and analysts to translate business questions into analytical requirements, hypotheses, and solutions.

Define analytical approaches, success metrics, required data, and expected business outcomes.

Ensure analytics products and models are designed with the end user and business decision in mind.

Perform hands-on analytics and develop actionable insights

Use SQL extensively to extract, transform, analyze, and validate data.

Perform exploratory and diagnostic analysis to uncover trends, patterns, opportunities, and business drivers.

Work with large and complex datasets and combine information from multiple data sources.

Use Python/Pandas and other analytical tools for deeper analysis, modeling, and visualization where appropriate.

Turn analytical findings into clear, practical recommendations that clubs can act upon

Maintain technical depth to independently investigate data, validate analyses, and contribute directly to analytical deliverables.

Communicate with stakeholders and support delivery

Present complex analytical concepts and findings in a simple, compelling, business-oriented manner.

Build executive-ready presentations and narratives that connect data to business outcomes.

Review analytical approaches, outputs, and recommendations to ensure quality and business relevance

Qualifications

Required Skills

5+ years of experience in analytics, business strategy, consulting, or a related field, with meaningful experience working directly with a professional sports club/team or league.

Demonstrated experience working directly with business stakeholders to identify and solve business problems.

Strong business acumen with the ability to understand business objectives and translate them into analytics opportunities

Strong SQL skills and hands-on experience working with large datasets.

Experience with Python/Pandas or a similar analytics programming language Strong presentation, storytelling, and stakeholder management skills.

Ability to operate independently in ambiguous environments and proactively identify opportunities.

Apply About employer

More about this job

Responsibilities

The Lead Data Analyst will provide analytics support for the Sports, Media and Entertainment practice by translating business questions into actionable insights. They will also lead and mentor a team of analysts while maintaining high standards for data quality and reporting.

Requirements

Candidates must have 5-7 years of experience in data analytics, including proficiency in SQL, Python, and cloud data platforms. A bachelor's degree in a relevant field and strong stakeholder management skills are required for this role.

Skills

SQL
Python
Data Analysis
Stakeholder Management
Data Modeling
Cloud Data Platforms
Databricks
Snowflake
AWS
Predictive Modeling
Business Intelligence
Communication
Mentorship
Data Visualization
Customer Analytics
Project Management

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
SQL
Python
Pandas
NumPy
Databricks
Snowflake
AWS
Tableau
Power BI
Looker
CRM
Customer Analytics
Propensity Modeling
Churn Analysis
Time Series
Data Engineering
Stakeholder Management
Marketing Analytics
Fan Engagement
KPIs
Forecasting
UAT
Root Cause Analysis
PIPEDA
GDPR
Consulting
Sports Analytics
Data Visualization
Business Intelligence

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