Healthfirst

The Analyst, EA works on parallel projects and must be self-directed and able to adhere to high personal standards of work. We interpret requirements that can range from detailed specifications to time sensitive ad hoc requests with minimal guidance; analysts are required to pull data together from multiple sources in order to arrive at the correct answer and deliver the final product in a timely and accurate manner.

Duties and Responsibilities

• Learn and interact with both legacy data systems and newly curated datasets hosted on Amazon Web Services
• Collaborate closely with client Relationship Managers who will hand off projects, set the priorities and inspect the output of the final analysis
• Effectively blend and clean the data to get to the right insight based on the requirements
• Create an accurate report or insightful and user friendly dashboard that meets the stakeholders’ needs and leads to business insight
• Set delivery expectations accurately and relentlessly communicate the status of high priority items

Minimum Qualifications:

·       Bachelor’s degree from an accredited institution

·       Working experience exhibiting strong critical thinking and analytical skills

·       Advanced MS Excel skills

·       Familiarity with writing SQL (or equivalent) queries for analyzing data and establishing business rules and requirements

·       Familiarity with relational database structures, theories, principles and practices

·       Familiarity with data models and/or data modelling

·       Ability to understand the data lifecycle within the organization and its impact on the business

·       Experience working in a team-oriented, collaborative environment

·       Ability to communicate effectively verbally and in writing while demonstrating good grammar, spelling, and punctuation skills

 

Preferred Qualifications: 

·       Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration

·       At least 1 year analytics experience

·       Experience working with SQL in a professional environment

·       Experience with Alteryx, Tableau, Amazon Redshift, QlikView, or other similar tools/platforms

·       Familiarity with statistical principles, such as standard deviations, normal distributions, and regressions

·       Familiarity with Python and/or R

·       Familiarity with healthcare data

·       Balances working independently with an understanding of when to escalate with questions/issues

·       Ability to work effectively with both business and technical stakeholders

·       Work experience requiring meticulous attention to detail

Hiring Range*:

• Greater New York City Area (NY, NJ, CT residents): $72,100 - $104,210

• All Other Locations (within approved locations): $65,800 - $97,920

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.