Data Associate

Connerstrongbuckelew; Camden (NJ); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Family medical and dental insurance

401K plan

PTO

Job summary

Conner Strong & Buckelew in New Jersey is seeking an experienced Health Data Analytics professional to lead analytics projects and manage large datasets in a data warehouse. You will develop insights from healthcare data to guide population health strategy and communicate findings to clients.

The ideal candidate has 5+ years in health data analytics, proficient in Tableau and SQL, and strong communication and presentation skills. Hybrid work and comprehensive benefits are offered.

Qualifications

• Bachelor’s degree in a related field is preferred.
• 5+ years in health data analytics, preferably in consultancy/brokerage.
• Knowledge of healthcare analytic methodologies and KPI.
• Experience with healthcare analytics tools listed.
• Comfortable with Tableau and SQL.
• Strong communication and presentation skills.
• Ability to present to clients.
• Ability to work independently and in a team.
• Proficiency with Microsoft Office (PowerPoint, Access, Word).

Responsibilities

• Collaborate with cross-functional teams on analytical projects.
• Oversee analysis of large datasets in the data warehouse.
• Develop and replicate insights from healthcare data to support strategy.
• Communicate data understanding and reporting capabilities to clients.
• Ensure data quality and integrity in outputs.
• Develop dashboards and enhanced reporting for clients.
• Perform financial analysis for all coverages and plan designs.
• Understand carrier claims reporting processes.
• Manage internal and external client deadlines.
• Develop custom financial modelling on request.
• Attend client meetings.
• Stay current on industry trends and regulations.

Skills

Tableau

SQL

Communication skills

Problem solving

Presentation skills

Education

Bachelor’s degree in Economics, Data Science, Analytics, Statistics, Health Informatics, Computer Science or related field preferred

Tools

Springbuk

Artemis

Merative

Cedar Gate

Milliman

HDMS

Job description

Department: Employee Benefits

Principal Responsibilities

• Collaborate with cross‑functional teams, managing analytical projects, and ensuring the delivery of accurate and relevant analyses to support client’s organizational goals.
• Oversees the analysis of large and complex datasets stored in the data warehouse.
• Develop, extract and replicate insights and trends gained from large and complex healthcare data available (medical claims, drug claims, disability, etc.) to promote population health decision making and strategy.
• Understand the data (including source, meaning, and application), the reporting system capabilities, and can use this knowledge to communicate effectively to internal team and clients, as appropriate.
• Ensures data quality and integrity in analytical outputs.
• Leverage advanced reporting server(s), and work with the identified scope to develop, and maintain enhanced reporting and dashboards for the client(s) to guide direction and best practices for application of the data.
• Perform financial analysis for all coverages, examining both overall cost and benefit structures, various plan design and contribution modeling on both fully insured and self‑funded accounts.
• Knowledge of the carrier claims reporting process as it relates to content and accuracy.
• Ability to manage both internal and external client deadlines.
• Ability to develop custom financial modelling at the client’s request and/or the ability to incorporate a “non‑standard” request using our existing tools
• Attend client meetings/conference calls as needed
• Remain current on industry trends and information, new product information, legislation, regulatory requirements, coverage’s, compliance and technology; communicate changes and address issues with clients on a proactive basis.

Requirements

• Bachelor’s degree in Economics, Data Science, Analytics, Statistics, Health Informatics, Computer Science or related field preferred
• Minimum 5 plus years of experience working in the health data analytics field; preferably in a data analytics role at a consultancy or brokerage
• Strong working knowledge of healthcare analytic methodologies, healthcare payer challenges, solutions, strategies and key performance indicators
• Experience using healthcare data analytics tools such as Springbuk, Artemis, Merative, Cedar Gate, Milliman, HDMS or other similar tools
• Comfortable leveraging Tableau and SQL
• Strong written and verbal communication skills, presentation skills, critical thinking and problem solving skills.
• Ability to make verbal in person presentations to internal staff and prospects/clients.
• Ability to work independently on projects and in a consultative team environment.
• Proficiency in the Microsoft Office products including PowerPoint, Access and Word.

Working Conditions

Office environment with moderate noise level; able to work flexible hours and travel to other Conner Strong offices and Client work sites as needed.

Compensation

Salary for this position ranges from $80,000.00 - $100,000.00. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case‑by‑case basis. In addition to the base salary, this position may be eligible for performance‑based incentives.

Qualifying positions will also be eligible for comprehensive benefits, such as participation in family medical and dental insurance programs, 401K plan, and PTO.

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Must be authorized to work in the United States on a full‑time basis without Company sponsorship.

Conner Strong & Buckelew is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, affectional or sexual orientation, gender identity or expression, national origin, ancestry, nationality, age, disability (physical or mental), marital or domestic partnership or Civil Union status, pregnancy, family medical history or genetic information, atypical cellular or blood trait, military service or any other status protected by law.