DATA ANALYST

We are seeking a talented Data Analyst to join our team and play a pivotal role in leveraging data to enhance our decision-making processes and improve the overall healthcare experience for our members.

Job Description:

As a Data Analyst at Peak Plans LLC, you will be at the forefront of analyzing and interpreting data to derive insights that drive strategic decisions within the healthcare industry. You will work with diverse datasets, applying your analytical skills to uncover trends, assess risk, and support our mission to deliver exceptional healthcare solutions.

Responsibilities:
Data Analysis: Collect, clean, and analyze large datasets to identify trends, patterns, and anomalies related to healthcare utilization, claims, and member behavior.

Reporting: Generate regular and ad-hoc reports to track key performance indicators, utilization rates, and financial metrics.

Predictive Modeling: Develop predictive models to forecast healthcare trends, identify potential risks, and improve resource allocation.

Data Visualization: Create visually appealing and informative dashboards using tools like Tableau or Power BI to communicate data-driven insights to various stakeholders.

Collaboration: Collaborate with cross-functional teams, including actuaries, underwriters, and healthcare professionals, to provide data-driven recommendations.

Data Quality Assurance: Ensure data integrity and accuracy by implementing data validation checks and participating in data quality initiatives.

Compliance: Ensure compliance with data privacy regulations (HIPAA, etc.) and maintain data security standards.

Qualifications:

Bachelor’s degree in Statistics, Data Science, Mathematics, or a related field (Master’s degree preferred).
Proven experience as a Data Analyst, preferably in the healthcare or insurance sector.
Proficiency in data analysis tools such as SQL, Python, or R.
Experience with data visualization tools like Tableau, Power BI, or similar.
Strong analytical, problem-solving, and critical-thinking skills.
Knowledge of healthcare industry data sources and terminology is a plus.
Excellent communication skills and the ability to translate complex data into understandable insights.
Attention to detail and a commitment to data accuracy and integrity.

Interested applicants are invited to submit their resumes and an audio introduction discussing their qualifications.