Responsibilities
· Collaborate with client stakeholders to analyze and synthesize the client data to meet the business objective, reporting dashboard, and descriptive/predictive/prescriptive analytic requirements.
· Leverage best practices and industry leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers.
· Design data models and solutions for analytical and reporting use cases.
· Build and maintain scalable data transformation workflows in dbt (data build tool) and Snowflake, ensuring clean, consistent, and well-modeled data sets that serve as the foundation for analytics and reporting.
· Implement data quality testing, documentation, and version control within dbt to enforce best practices in data governance and maintain transparency across the analytics lifecycle.
· Develop efficient, reusable data pipelines and Tableau use case layers that enable cross-functional teams to perform self-service analytics and advanced data exploration with minimal engineering dependency.
Qualifications
· Master’s or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or related analytics field from top-tier universities with strong record of achievement.
· 3-5 years of experience with solid data engineering skills.
· Hands-on knowledge of traditional relational data warehouse technologies, such as SQL (including Analytical SQL functions), dbt (data build tool), Tableau, Python/Pyspark.
· Experience in data architecture and data modeling, including creating Semantic Layer Data Models.
· Preferred expertise in Sports industry.
· Experience in Machine Learning or NLP, such as Scikit-Learn, SpaCity, Pytorch, or Spark NLP is desirable.
· Prior experience in management consulting and/or analytics based consulting is desirable.
ResponsibilitiesDesign and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.
QualificationsBachelor's/Master's in Engineering 2-5 years
Skills Required
- Bachelor's or Master's in Data Science, Computer Engineering, Math, Statistics, Economics or related field
- 3-5 years of data engineering experience
- Proficiency with SQL including analytical SQL functions
- Hands-on experience with dbt (data build tool)
- Experience with Snowflake
- Experience with Tableau for reporting and self-service analytics
- Programming experience in Python and PySpark
- Experience in data architecture and data modeling (semantic layer/data models)
- Experience in Machine Learning or NLP (Scikit-Learn, SpaCy, PyTorch, Spark NLP)
- Industry expertise in Sports
- Prior experience in management consulting or analytics consulting
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
