Data Analyst II - Healthcare

Responsibilities

• Work with management, investigators, and the data team to provide key statistical research, analytics, and reporting functions for innovative case development support and to fulfill health plan client and/or law enforcement data requests.
• Utilize data analysis techniques such as data mining, statistical modeling, predictive modeling, etc. to detect aberrancies in health plan claims data, and proactively seeks out and develops leads and cases received from a variety of sources including a health plan client, CMS, OIG, fraud alerts, and referrals from government and private sources.
• Communicate effectively with internal and external stakeholders
• Validate analytic results and identify potential fraud, waste and/or abuse situations in violation of private, state, and/or federal laws, guidelines, policies, and/or regulations.
• Support management requests for client reporting requirements.
• Create dashboards and visualizations in Tableau, Power BI, or Sigma to communicate findings
• Write efficient, production-quality code in Python, R, and SQL for data cleaning, transformation, and modeling

Requirements

• Experience working in an enterprise analytics platform.

Competencies

• Effective communication skills (verbal and written) to interpret data outcomes.
• High proficiency level with MS Word and Excel.
• Proficiency with database and analytic programming languages such as SQL, Python, R and/or other applications to perform diverse types of data analysis and/or data science.
• Strong critical thinking and problem-solving skills.
• Knowledge of Medicare and Medicaid rules and regulation is a plus.
• Strong organizational skills and the ability to effectively manage workload within the established timelines.
• Demonstrated knowledge of various database management systems in order to input, extract or manipulate information.
• Understanding of healthcare claims processes- solid understanding of health claims fields, claim types, payers, reimbursement models and regulatory requirements.
• Comfortable with utilizing AI assisted development tools.
• Experience with GitHub, GitLab, or other Git technology.

Qualifications

• Minimum of a Bachelor’s degree in Mathematics, Statistics, Healthcare Administration, Data Science, or related discipline with preference given to MA or MS recipients, and/or relevant work experience as a data analyst (Or similar position).
• 3+ years of experience analyzing healthcare claims data in fraud, waste, and abuse investigations.
• Experience with data visualization tools such as Tableau, Power BI, or Sigma is a plus.
• Experience in handling large data sets and relational databases.
• Experience and knowledge of healthcare information (health claims data; specifically, ICD-9-CM and ICD-10-CM codes, CPT, HCPCS, DRG, 837P, etc.) is required.

Benefits

• Medical, Dental, Vision plans
• Life, LTD and STD paid by the employer
• 401(k) with company match up to 4%
• Paid Time Off and company paid holidays
• Tuition assistance after 1 year of service

Pay

The salary range for this role is $65,000 to $75,000 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future.

About Us

CoventBridge Group is the global leader in full-service investigations providing Surveillance, SIU and Compliance, Claims Investigation, Counter-Fraud Programs, Desktop Investigations, Social Media, Record Retrieval, Canvasses and Vendor Management programs. The company provides top tier data privacy and security practices, deploys robust case management technology customized to clients’ needs and delivers worldwide coverage via its 1000 employees and affiliates worldwide. CoventBridge is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, caste, disability, veteran status, and other legally protected characteristics and maintains a drug-free workplace. CoventBridge is committed to the full inclusion of all qualified individuals.