Manage end-to-end data analytics engagements aimed at solving complex business problems for clients. Gather business requirements, develop project plans, define milestones, and coordinate efforts between cross-functional teams. Apply statistical algorithms, machine learning techniques, and data modeling approaches to develop predictive models and validate business hypotheses.
Responsibilities- Extract, clean, and process large and complex datasets using Structured Query Language (SQL).
- Build and manage data pipelines using big data frameworks such as Hive, PySpark, Scala, and cloud technologies.
- Use tools like Python and R - widely-used programming languages for data science and leverages visualization software such as Tableau, Power BI, and Excel to create dynamic dashboards and automated reports.
- Conduct hypothesis testing using t-statistics and z-statistics to validate the statistical significance of patterns in the data.
- Utilize EXL’s proprietary analytics methodologies, including MICROANALYTICSTM, to break down complex analyses into structured, actionable insights.
- Oversee data quality control, perform feature engineering, and engage in hyperparameter tuning.
- Support code deployment via CI/CD (Continuous Integration/Continuous Deployment) practices to maintain seamless updates across the software development lifecycle (SDLC).
- Collaborate with both onshore and offshore resources, presents insights into client stakeholders, and ensure that deliverables meet internal quality standards and client expectations.
- Position may work at various and unanticipated worksites throughout the United States.
- Telecommuting permitted.
Requires Master’s degree in Operations Research, Computer Science, Information Systems, Business Analytics, or a directly related field plus Three (3) years of Professional experience in Data analytics, statistical, and project management-related roles. Must have at least 3 years of experience with the following: Python and R, SAS & SQL, Excel and Tableau or PowerBI or related tool, Agile Project Management, Complex and Large Data Structures, End-to-End Solutioning, Statistical Modeling, Client Technical Review. Employer will also accept a Bachelor’s degreeplus Five (5) years of Professional experience in Data analytics, statistical, and project management-related roles in lieu of a Master’s degree plus Three (3) years of Professional experience in Data analytics, statistical, and project management-related roles.
40 hours/week, 9:00am-5:00pm, Salary range: $170,000 to $175,000 per year.
To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL71 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
Skills Required
- Master's degree in Operations Research, Computer Science, Information Systems, Business Analytics, or related field plus 3 years professional experience OR Bachelor's degree plus 5 years professional experience
- Minimum 3 years experience with Python and R
- Minimum 3 years experience with SAS and SQL
- Experience extracting, cleaning, and processing large complex datasets using SQL
- Experience building and managing data pipelines using Hive, PySpark, Scala, and cloud technologies
- Experience with Tableau, Power BI, Excel, or related visualization/reporting tools
- Experience with Agile Project Management practices
- Experience with complex and large data structures and end-to-end solutioning
- Experience in statistical modeling, hypothesis testing (t-statistics, z-statistics), feature engineering, and hyperparameter tuning
- Experience performing client technical review and presenting insights to stakeholders
- Familiarity with CI/CD practices for code deployment across the SDLC
- Familiarity with EXL's proprietary analytics methodologies, including MICROANALYTICSTM
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.
