Source description
About the role
Extract, clean, and process large and complex datasets using Structured Query Language (SQL).
Build and manage data pipelines using big data frameworks such as Hive, PySpark, Scala, and cloud technologies.
Use tools like Python and R - widely-used programming languages for data science and leverages visualization software such as Tableau, Power BI, and Excel to create dynamic dashboards and automated reports.
Conduct hypothesis testing using t-statistics and z-statistics to validate the statistical significance of patterns in the data.
Utilize EXL’s proprietary analytics methodologies, including MICROANALYTICSTM, to break down complex analyses into structured, actionable insights.
Oversee data quality control, perform feature engineering, and engage in hyperparameter tuning.
Support code deployment via CI/CD (Continuous Integration/Continuous Deployment) practices to maintain seamless updates across the software development lifecycle (SDLC).
Collaborate with both onshore and offshore resources, presents insights into client stakeholders, and ensure that deliverables meet internal quality standards and client expectations.
Position may work at various and unanticipated worksites throughout the United States.
Telecommuting permitted.
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