Responsible for project task management; communications, including deck writing; coordination of all sub team efforts; delivery of output; facilitation and gathering of client feedback on problem structuring; and effective management of frequency of feedback loop with offshore resources. Import raw data from client data warehouses and databases into statistical analysis software. Process data by coding, compilation, calculation, tabulation, and verification and make recommendations to management through presentations. Use visualization software, charts, tables and other tools to highlight key trends and recommendations.
Responsibilities- Knowledge of using computer and computer languages is a key requirement, to program, write queries, codes, setup functions, and process data. Review and manage project plans.
- The project plans are developed and maintained by team members and capture all the work streams, tasks and subtasks and the timelines associated with them.
- Review and advise on team member’s work output – data analysis and review results, interim and final output data files and final recommendations.
- Use EXL analytics methodologies and analysis tools, such as SAS, R, SQL, Hive, Teradata, Hadoop, MS office including Excel and PowerPoint, to perform all of the following: data extraction, data understanding, variable reduction, Big Data processing, data analysis, model development, model stabilization, and model validation, summarization, visualization and presentation.
- Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requires Bachelor’s degree in Engineering (any), Computer Science, or a directly related field plus two (2) years of Experience in a machine learning or data engineering field. Must have at least two (2) years of experience with the following: SQL, including complex queries and stored procedures; ETL tools, including Informatica and DataStage; Experience with relational databases, including Oracle and PostgreSQL; Familiarity with Data warehousing concepts; Performance tuning of ETL jobs and SQL queries.
40 hours/week, 9:00am-5:00pm, Salary range: $100,000 to $110,000 per year.
To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL83 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
Skills Required
- Bachelor's degree in Engineering, Computer Science, or a directly related field
- Two years of experience in machine learning or data engineering
- At least two years of experience with SQL, including complex queries and stored procedures
- At least two years of experience with ETL tools, including Informatica and DataStage
- Experience with relational databases, including Oracle and PostgreSQL
- Familiarity with data warehousing concepts
- Experience tuning ETL jobs and SQL queries
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.
