Description and Requirements
Hybrid work schedule consists of reporting to our 100 Church Street, NYC office 3 days per week.
Scope of 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.
Set delivery expectations accurately and communicate the status of high-priority items relentlessly.
Identify and monitor cost and utilization trends and the root causes in health plan trend performance, providing recommendations for solutions.
Create and present reports to all levels of management.
Utilize statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
Collaborate with various teams and departments to implement new data analysis methodologies.
Identify opportunities for improving business processes through data analysis.
Collaborate with cross-functional teams and stakeholders to understand business goals and identify analytics requirements.
Present and communicate complex data findings in a clear and concise manner to non-technical team members and senior leadership.
Deliver high-impact presentations to leadership, showcasing data-driven insights and recommendations.
Use advanced analytical tools and software for data analysis and modeling
Minimum Qualifications
Bachelor’s degree from an accredited institution or equivalent
2+ years' experience in data analytics or consulting, preferably in the healthcare industry
Proven work experience with SQL where you have created queries, pulled large data sets and performed data manipulations/analysis
Familiarity with programming languages such as 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.)
Familiarity with cloud technologies
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
Master’s degree in mathematics, computer science, data science, engineering, business analytics, or similar field
3+ years' proven work experience with SQL
One or more years of working experience with Python
Familiarity with the AWS ecosystem, specifically Redshift
Experience with Git/versioning control for managing code changes and collaboration
Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions
Advanced problem-solving skills and the ability to make critical, independent decisions within area of responsibility
Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline
Knowledge of health care industry, products, systems, business strategies and products
Hiring Range*:
Greater New York City Area (NY, NJ, CT residents): $106,300 - $153,595
All Other Locations (within approved locations): $97,000 - $144,330
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.