Location: New York, NY Position Title: Senior Analytics Consultant (EXL96) Job Description: Lead and execute advanced analytics and Data Engineering projects in the data governance domain. Leverage expertise in Python, SQL and Spark to build data tools and solve complex business problems. Collaborate closely with business stakeholders and client teams to deliver impactful, data-driven solutions. Design and develop scalable tools that enable organization wide data quality checks, while supporting evolving business definitions in an intuitive and user-friendly manner. Build reliable and adaptable software that streamlines processes and enhances overall efficiency across diverse use cases. Work closely with clients to define business challenges, gather requirements, and deliver comprehensive data analysis and insights. Lead communication efforts, including creating data-driven presentations (decks) and presenting findings to senior executives. Leverage SQL, Python, Spark, and a suite of advanced data engineering frameworks and statistical methodologies to execute end-to-end, large-scale data processing and analytical workflows. Use EXL analytics methodologies and analysis tools, and licensed software to perform data extraction, data understanding, Big Data processing, and production deployment. Lead projects, ensuring that all tasks are properly managed, and deliverables are met. Facilitate client feedback sessions to refine problem structuring and improve output quality. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted. Job Requirements: Requires Masters degree in Statistics, Computer Science, Mathematics, or a related field plus Four (4) years of experience in data engineering and analytics. Must have at least three (3) years of experience with the following: Coding with Python, SQL, Spark, and SAS. Developing and maintaining scalable data pipelines for efficient data collection, transformation, and storage. Project delivery, including planning, requirements gathering, design, development, and testing. Presenting findings and insights to senior leadership. Maintaining documentation for data architecture, data flows, and processes to facilitate knowledge sharing and compliance. 40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $175,000 per year To apply: Send resume and cover letter to us. com. Must cite job title and code EXL96 in response. This notice is subject to ExlService. com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
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