Senior Manager

Job Description:

Develop, deploy, test and maintain technical assets in a highly secure and integrated enterprise computing environment and support functional testing. Design data driven solutions and frameworks (descriptive and predictive) from scratch and consult on potential solutions/storyboards and POCs. Drive business metrics that add to the profitability of the company’s revenue optimization business. Perform quantitative and qualitative analysis such as raw data analysis, statistical modeling, data deep-dives etc. to acquire insights from data. Develop descriptive reporting through to prescriptive analytics. Translate insights into analysis reports and communicate insights back to the stakeholders. Apply next-gen technology to all parts of the analytics lifecycle from data extraction, exploratory data analysis, predictive modeling, data mining and information extraction from unstructured data to visualization and story boarding. Conduct data wrangling using SQL and libraries of R, Python such as Pandas, Pyspark, etc. Use applied machine learning techniques or and knowledge of text mining, image mining, screen scraping and other big data techniques to perform job duties. Train and mentor team members for complete knowledge of technologies. Perform EDA & data visualization to answer pressing business questions. Own all project deliverables and ensure the proper communication between teams and quality levels. Telecommuting permitted from anywhere in the U.S. Position may require travel to various and unanticipated workplaces throughout the United States.

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Job Requirements:

Requires Bachelor’s degree in, Engineering, Computer Science, Mathematics, Economics, Business Analytics, Statistics, or a directly related field plus five (5) years of experience in Coding languages such as SQL, HIVE, Python and SAS. Requires three (3) years of experience with MS SQL, Data Analytics and database management, warehousing, and reporting; Two (2) years of experience with Power BI; One (1) year of experience in Power BI reporting, data quality concepts, data governance & security, distributed data warehouses or data lakes (Databricks) and Cloud databases (Azure Databricks). Employer will also accept a Master’s degree plus three (3) years of experience in Coding languages such as SQL, HIVE, Python and SAS in lieu of a Bachelor’s degree plus five (5) years of experience Coding languages such as SQL, HIVE, Python and SAS.

40 hours/week, 9:00am-5:00pm, Salary range: $150,000 to $153,000 per year.

To apply: Send resume and cover letter to us.careers@exlservice.com. Must cite job title and code EXL15 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.