Senior Data Analytics Analyst

IQVIABurlington, MA
Hybrid

About The Position

Cedar Gate Technologies, an IQVIA business, enables payers, providers, employers, and service administrators to excel at value-based care with a unified technology and services platform delivering analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you’ll be part of a collaborative, innovative environment where great ideas thrive. We invest deeply in our people through ongoing training, comprehensive benefits, and a strong culture of teamwork, offering the chance to grow your skills while contributing to high impact initiatives for some of the world's most dynamic companies. Position Summary At Cedar Gate Technologies, an IQVIA business, the Senior Data Analytics Analyst will collaborate closely with Data Managers to analyze complex healthcare data, design scalable data solutions, and support the integration of client data into the Cedar Gate Analytics Platform. This role leverages a variety of analytic, statistical, and ETL tools to ensure accurate, efficient, and standardized data processing across multiple healthcare sources. In this role, you’ll play a critical part in transforming data into meaningful insights that improve healthcare outcomes, while growing your technical expertise within a supportive, innovation‑focused team.

Requirements

  • Bachelor’s Degree in Computer Engineering, Computer Science, Data Science, or a closely related field.
  • 3+ years of experience in data centric roles with increasing responsibility is required
  • Significant data management knowledge and hands on ETL experience is required.
  • Experience working with healthcare claims systems, EMR data, or related healthcare datasets is required.
  • Proficiency with Amazon Web Services (AWS), Redshift, SQL, and advanced Excel functions.
  • Familiarity with Agile methodologies and team-based development processes.
  • To be eligible for this position, you must reside in the same country where the job is located.

Responsibilities

  • Interpret, analyze, and validate data using advanced statistical, querying, and analytical techniques.
  • Perform data cleansing, transformation, and aggregation from diverse healthcare data sources.
  • Map disparate data fields into a unified schema and reconcile our client’s member information across datasets.
  • Support data standardization efforts, including relationship code alignment, demographic normalization, member month calculations, and healthcare code analysis.
  • Execute detailed data analysis tasks assigned by the reporting manager in support of client and internal goals.
  • Follow organizational data processing standards using proprietary tools and ETL pipelines for Analytics.
  • Partner with Data Managers and cross functional teams, including Client Success and Client Delivery, to gather requirements, document workflows, analyze use cases, and support implementation activities.
  • Troubleshoot and resolve client technical issues related to healthcare claims, EMR data, and ancillary data sources; provide timely ad hoc support during scheduled and unscheduled client interactions.

Benefits

  • ongoing training
  • comprehensive benefits
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