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EXL

Lead Data Analyst

EXL

. Provide analytics support to a client within EXL’s Sports, Media and Entertainment practice .

Posted 10/30/2026full-timeToronto • CanadaSenior💰 CA$90,000 - CA$130,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics, data analysis, and business strategy, with a strong ability to translate complex business questions into actionable insights. Proficient in SQL and Python/Pandas, with hands-on experience in cloud data platforms and advanced analytics modeling.

Highest-signal resume keywords
SQL ProficiencyPython/Pandas ExpertiseCloud Data Platform ExperienceAdvanced Analytics ModelingStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisAnalytics ModelingForecastingSegmentationChurn AnalysisPropensity ModelingKPI MonitoringData ValidationAnalytical Approach DefinitionBusiness Problem Solving
Soft Skills
Relationship BuildingMentoringCommunicationProblem-SolvingAttention to Detail
Tools & Technologies
DatabricksAWSSnowflakeTableauPower BILooker
Industry Keywords
Sports AnalyticsFan EngagementRevenue GrowthMarketing AnalyticsCustomer AnalyticsPIPEDAGDPRClient-Facing ExperienceBusiness StrategyConsulting

Tech Stack

Tools & technologies
AWSCloudPandasPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact
  • Provide analytics support to a client within EXL’s Sports, Media and Entertainment practice
  • Build trusted relationships with marketing, international, regional, club and league stakeholders
  • Identify and prioritize analytics opportunities that support fanbase growth, revenue and engagement
  • Translate ambiguous business questions into scoped analyses, hypotheses, use cases, requirements and solutions
  • Define analytical approaches, success metrics, required data and expected business outcomes
  • Present findings, recommendations and complex analytical concepts to senior and non-technical stakeholders
  • Build executive-ready presentations, clear summaries and actionable narratives
  • Serve as senior analyst by setting analytical standards, reviewing work and mentoring analysts
  • Prioritize and coordinate analytics requests, allocate work and unblock colleagues
  • Write SQL and Python/Pandas to extract, clean, transform, analyze and validate large datasets
  • Work with Databricks, Snowflake or AWS to build and maintain analytical datasets and workflows
  • Develop audience segments, test/control designs, propensity, churn, segmentation and customer lifetime value models
  • Own recurring reporting on fan growth, engagement and lifecycle metrics across international markets
  • Monitor campaign and go-to-market performance against KPIs and recommend optimization opportunities
  • Build forecasts, measure model and forecast accuracy, and refine approaches as data evolves
  • Support UAT of database changes and RCA of data issues
  • Partner with data engineering, data scientists, analysts and third-party partners on requirements, data needs and definitions
  • Maintain documentation, reusable code and shared definitions for consistent, repeatable work

Requirements

What you’ll need
  • Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Business or a related field, or equivalent experience
  • 5–7 years of experience in analytics, business strategy, consulting, data analysis or a related field
  • Meaningful experience working directly with a professional sports club/team or league
  • Experience working directly with business stakeholders to identify and solve business problems
  • Strong business acumen and ability to translate business objectives into analytics opportunities
  • Demonstrated ability to present analysis to senior, non-technical audiences and influence decisions
  • Experience mentoring, coaching or reviewing other analysts’ work
  • Strong SQL skills, including complex joins, aggregations, window functions and large datasets
  • Proficiency in Python/Pandas or a similar analytics programming language
  • Hands-on experience with at least one cloud data platform: Databricks, AWS or Snowflake
  • Experience building advanced analytics models and forecasts, including segmentation, propensity, churn and time series
  • Strong analytical and problem-solving skills with close attention to detail
  • Ability to operate independently in ambiguous environments and proactively identify opportunities
  • Preferred: experience with BI and visualization tools such as Tableau, Power BI or Looker
  • Preferred: experience in marketing, CRM or customer analytics
  • Preferred: knowledge of consent management, identity resolution, PIPEDA and GDPR
  • Preferred: experience in consulting or client-facing environments
  • Preferred: passion for sport and understanding of global fan cultures

Benefits

Comp & perks
  • Annual bonus
  • Benefits information available at https://www.exlservice.com/us-careers-and-benefits