What are the responsibilities and job description for the Senior Data Analytics Analyst position at Cedar Gate Technologies and Careers?
Position Summary
Reasons you will want this position:
- Join a rewarding culture. Our culture actively values and rewards innovative ideas, particularly those that lead to better outcomes for all.
- Make a measurable impact. Your work directly contributes to improving healthcare analytics, value-based care solutions, and patient outcomes across the industry.
- Grow in a learning‑driven environment. We invest in ongoing professional development, cloud certifications, and opportunities to expand your technical toolkit.
- Work with modern technology. Gain deep experience with AWS, Redshift, automation, and next‑generation analytic tools used at scale.
- Collaborate with experts. Join a high‑performing, mission‑driven team that values mentorship, knowledge sharing, and innovation.
- Balance your life and career. Our hybrid model offers flexibility while keeping you connected to your team and leadership.
Summary
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.
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.
Roles & 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.
Job Location:
Hybrid Remote - based out of our Burlington, Massachusetts office.
Required Experience / Qualifications
- 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.
- Significant data management knowledge and hands‑on ETL experience.
- Experience working with healthcare claims systems, EMR data, or related healthcare datasets.
- Proficiency with Amazon Web Services (AWS), Redshift, SQL, and advanced Excel functions.
- Familiarity with Agile methodologies and team‑based development processes.
- Must be currently authorized to work in the United States without visa sponsorship.