Easter Seals Jobs

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

• Bachelors 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

• Bachelors 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

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.