Senior Analytics Consultant

EXL•New York, NY
•$173,000 - $175,000

About The Position

Lead and execute advanced analytics and data engineering projects in the data governance domain. Use Python, SQL, and Spark to build data tools and solve complex business problems, collaborating with business stakeholders and client teams to deliver data-driven solutions. The position may work at various and unanticipated worksites throughout the United States; telecommuting is permitted.

Requirements

  • Master’s degree in Statistics, Computer Science, Mathematics, or a related field.
  • Four years of experience in data engineering and analytics.
  • At least three years of experience coding with Python, SQL, Spark, and SAS.
  • At least three years of experience developing and maintaining scalable data pipelines for efficient data collection, transformation, and storage.
  • At least three years of project delivery experience, including planning, requirements gathering, design, development, and testing.
  • At least three years of experience presenting findings and insights to senior leadership.
  • At least three years of experience maintaining documentation for data architecture, data flows, and processes to facilitate knowledge sharing and compliance.

Responsibilities

  • Design and develop scalable tools for organization-wide data quality checks that support evolving business definitions in an intuitive, user-friendly manner.
  • Build reliable, adaptable software that streamlines processes and improves efficiency across diverse use cases.
  • Work with clients to define business challenges, gather requirements, and deliver data analysis and insights.
  • Lead communications, create data-driven presentations, and present findings to senior executives.
  • Use SQL, Python, Spark, data engineering frameworks, and statistical methodologies for end-to-end, large-scale data processing and analytical workflows.
  • Use EXL analytics methodologies, analysis tools, and licensed software for data extraction, data understanding, Big Data processing, and production deployment.
  • Lead projects, manage tasks, and ensure deliverables are met.
  • Facilitate client feedback sessions to refine problem structuring and improve output quality.
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