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An established industry player seeks a Project Manager to lead data-driven projects in a dynamic environment. This role involves developing hypotheses, analyzing client data, and presenting findings to stakeholders. The ideal candidate will have extensive experience in data analytics, statistical modeling, and machine learning, particularly within the Utilities sector. Responsibilities include managing project tasks, coordinating teams, and utilizing advanced analytics tools. Join a forward-thinking company that values innovation and offers a collaborative work environment with opportunities for growth and development. If you're passionate about transforming data into actionable insights, this is the perfect opportunity for you.
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes, and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Founded in 1999, we are headquartered in New York with over 55,000 employees across six continents. For more information, visit http://www.exlservice.com.
ExlService.com, LLC
320 Park Avenue, 29th Floor, New York, NY 10022
Project Manager
The Project Manager at EXLService.com, LLC in New York, NY, will develop hypotheses and validate them based on analysis of client data, external research, and communication with client teams. They will present findings to working-level client teams and help develop communications for senior management. The role involves extracting knowledge and insights from data to investigate complex business problems through data preparation, modeling, analysis, and visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness, and economic forecasting.
The Project Manager will perform project task management, including communications, deck writing, coordination of sub-team efforts, quality control, facilitating client feedback, and managing feedback loops with offshore/onshore resources. They will utilize analytics methodologies and tools such as SPSS and SAS for data extraction, understanding, variable reduction, Big Data processing, analysis, model development, stabilization, and validation. They should be able to translate highly technical information into clear, concise presentations for team and client use. The role may require working at various sites across the United States, with telecommuting permitted from anywhere in the country.
Requires a Bachelor's degree or foreign equivalent in Statistics, Economics, Mathematics, Analytics, or a related field, plus five (5) years of experience in a similar role. Must have 5 years of professional experience in Data Analytics within the Utilities industry, with proficiency in statistical modeling and machine learning for predictive and forecasting models, and SQL for data extraction and transformation. Additionally, 2 years of experience with each of the following is required: Python, R, or SAS; developing and maintaining reports with PowerBI or Tableau; leading project teams; and managing databases on SQL Server, Oracle, or AWS.
Work schedule is 40 hours/week, 9:00 am-5:00 pm, with a salary range of $112,000 to $120,000 annually.
To apply, send your resume and cover letter to us.careers@exlservice.com, citing the job title and code EXL31. The application process is subject to the company's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
For more details on our total rewards, visit https://www.exlservice.com/us-careers-and-benefits. The listed salary range is indicative; actual compensation may vary based on location and experience. Other rewards include bonuses, paid time off, and region-specific benefits. Data shared during application will be processed according to our Privacy Policy.
Note: Impersonating others during the application or interview process is a criminal offense and may lead to legal action.
We may use AI to analyze your application, but final hiring decisions are made by our recruitment team after reviewing your full profile. You may opt out of AI screening without impact on your application.