Responsibilities:

Support the architecture, design, and development of scalable analytics and reporting solutions across enterprise data platforms.
Partner with business stakeholders to define analytical strategies, frame problems, and deliver insights that drive decision-making.
Design and implement end-to-end data pipelines and workflows using modern big data and cloud technologies.

Qualifications:

Bachelor’s degree in Business Analytics, Finance, Economics, Statistics, Mathematics, Data Science, Information Systems, or related quantitative/business field.
4+ years of experience in advanced analytics, data engineering, or data science roles.
Proven experience delivering actionable insights and business impact from complex datasets.

Technical Skills:

Advanced proficiency in SQL across multiple platforms (e.g., Oracle, PostgreSQL, MySQL).
Strong programming skills in Python, Spark (PySpark/Scala), or R.
Hands-on experience with Databricks (Delta Lake, Spark optimization, job orchestration, MLflow).

Cotiviti

Cotiviti provides payment accuracy and analytics-driven solutions, focusing on healthcare and retail sectors. They are committed to fostering a diverse and inclusive environment where team members can grow and thrive.

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