Data Analyst, Healthcare Analytics, Hybrid NY

Description and Requirements

The Data Analyst, Healthcare Analytics, collaborates with business partners to understand and address business problems through data-driven solutions. This role requires a self-directed individual with high personal standards of work, capable of identifying opportunities to increase efficiency across the organization. Our ideal candidate has a strong background in healthcare data analysis and is comfortable using data visualization tools and techniques. Additionally, experience in delivering high-impact presentations to key stakeholders is essential. Ultimately, the role of the Data Analyst is to generate actionable insights that help leadership make informed, data-driven decisions.

This is a hybrid opportunity with a work schedule consisting of reporting to our office 3 days per week located at 100 Church Street, NYC.

Duties and Responsibilities

• Leverage leading analytical tools to generate insights that facilitate key decisions by department leadership
• Create accurate reports or insightful and user-friendly dashboards that meet stakeholders' needs and lead to business insights
• Identify and monitor cost and utilization trends and the root causes in health plan trend performance, providing recommendations for solutions
• Utilize statistical tools to identify, analyze, and interpret patterns and trends in complex data sets

Minimum Qualifications

• Bachelor's degree from an accredited institution or equivalent
• Familiarity with programming languages such as SQL, Python or R
• Experience with data visualization and reporting techniques using tools like Tableau, Power BI, or similar
• Advanced knowledge of MS Office (Excel, PowerPoint, etc.)
• Knowledge of statistical methodologies and tools, including experimentation design
• Demonstrated success analyzing large datasets
• Excellent communication skills, both written and verbal, with the ability to present complex information clearly and concisely.
• Strong problem-solving skills and attention to detail
• Ability to work independently and as part of a team
• Continuous learning mindset

Preferred Qualifications

• Bachelor's degree in mathematics, Computer Science, Data Science, Engineering, Business Analytics, or similar field
• Experience in data analytics or consulting, preferably in the healthcare industry
• 1+ years' of working experience with SQL
• 1+ years' of working experience with Python
• Familiarity with the AWS ecosystem, specifically Redshift
• Knowledge of health care industry, systems, business strategies and products
• Collaborate with cross-functional teams and stakeholders to understand business goals and identify analytics requirements
• Deliver high-impact presentations to leadership, showcasing data-driven insights and recommendations
• Use advanced analytical tools and software for data analysis and modeling

Hiring Range:

• Greater New York City Area (NY, NJ, CT residents): $67,200 - $97,155
• All Other Locations (within approved locations): $59,800 - $88,910

As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.

In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements). Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.

The hiring range is defined as the lowest and highest salaries that Healthfirst in "good faith" would pay to a new hire, or for a job promotion, or transfer into this role.

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.