Job Title

EXL is building a Sports Analytics & Engineering Practice, and were hiring an Analytics Data Engineer to support client delivery across sports, media, and fan engagement platforms.This role focuses on transforming client data into trusted, analytics-ready assets that power dashboards, insights, and decision-making. Youll work within EXL delivery teams while collaborating directly with client analytics, product, and BI stakeholders.You will own the analytics layer of client data platforms, building DBT-based transformations and dimensional models that serve as the single source of truth across reporting and analytics.What Youll DoBuild and maintain analytics transformation pipelines using SQL, DBT, and Jinja on client data platformsDesign dimensional data models that support dashboards, KPIs, and self-service analyticsOwn and enhance the DBT analytics layer, including models, macros, tests, and documentationWork directly with client stakeholders to understand requirements, align on metric definitions, and validate outputsEnsure semantic consistency across client dashboards and reportsImplement data quality checks and governance-aligned transformationsOptimize SQL and DBT models for performance in Amazon Redshift environmentsFollow software engineering best practices (version control, CI/CD, peer reviews)Support Agile delivery and collaborate with offshore teams to review and maintain high-quality analytics codeWhat You Bring5+ years of experience in analytics-focused data engineering3+ years of hands-on experience with DBT, including advanced models and macrosStrong expertise in dimensional modeling and data warehousingAdvanced SQL performance optimization skillsExperience working in client delivery or consulting-style environmentsExperience with Amazon Redshift or modern cloud data platformsFamiliarity with Python and/or Jinja templatingWhy EXLWork on real-world sports analytics use cases for enterprise clientsBe part of a growing Analytics & Engineering practice with room to shape standardsBalance hands-on technical ownership with meaningful client collaborationGain exposure to multiple data platforms and analytics problems, not just one internal stackCanada-based role with long-term growth and stabilityBase Compensation is between $110,000-$120,000.