Senior Analytic Engineer

ABOUT PERFORMANT:

At Performant, we’re focused on helping our clients achieve their goals by providing technology-enabled services which identify improper payments and recoup or prevent losses due to errant billing practices. We are the premier independent healthcare payment integrity company in the US and a leader across several markets, including Medicare, Medicaid, and Commercial Healthcare. Through this important work we accomplish our mission: To offer innovative payment accuracy solutions that allow our clients to focus on what matter most – quality of care and healthier lives for all.

If you are seeking an employer who values People, Innovation, Integrity, Fun, and fostering an Ownership Culture – then Performant is the place for you!

ABOUT THE OPPORTUNITY:

Hiring Range: $78,500 - $108,300

The Senior Analytic Engineer role is a combination of data architect, developer, analyst, tasked to design and build big data solutions. Their skillset must span software development, business analysis, and complex system design. They are expected to have regular and efficient communication with clients, external or internal to company, and to when needed provide a role as liaison between engineering and business units. The Senior Analytic Engineer will be a key member in building and maintaining the company's cutting-edge analytic capabilities. This role will primarily be responsible for high-level systems analysis and preparing and presenting technical presentations in support of major design reviews. Additionally, this position will interface with other sites to coordinate analytical work packages when the analytical workload demands increases, along with interfacing with other personnel to verify and validate analytical results through comparison to empirical data.

Key Responsibilities:

• Performs analysis as required to support product development of both systems and components.

• Able to work independently on significant project components with minimal supervision and direction.

• Conducts analysis substantiating designs and iterates with system, project, and design engineering staff to optimize system and component designs

• Recommends technical decisions on engineering approach to new or modified products. Reviews and analyzes data and recommends design changes as necessary.

• Communicates analytical results with engineering staff, management and customers through preparation of reports and presentations as necessary.

• Responsible for data engineering tool development and standardization and other engineering tool initiatives as defined by engineering management.

• Perform other incidentals and related duties as required and assigned.

Knowledge Skills and Abilities Needed:

• Strong experience in healthcare data sets, reimbursement and/or payment integrity space, specific to: eligibility, coordination of benefits data, medical claims auditing, claims analysis and/or actuarial analysis.

• Possesses a strong analytical aptitude

• Ability to build complex algorithms and or database queries. Excellent attention to detail

• Excellent communication skills can translate complex technical lingo into plain English and also communicate verbally with clients and other engineers well.

• Takes part in continuing education to keep abreast of new research and ideas, technology & market trends.

• Is creative can think of new and innovative ways to develop new products and make existing products work more efficiently.

• Shows ability to think logically able to make sense of complex systems and understand how things work and how problems arise.

• Able to develop mathematically complex calculations of varying difficulty.

• Good problem-solving skills to figure out where the problem stems from and quickly develop a solution.

• Team player – collaborates effectively within the department and cross functionally.

• Excellent technical knowledge understands a variety of computer programs and other systems that are commonly used during an engineering project.

• Knowledgeable with statistics and other mathematical techniques.

Requirements

• Minimum of 6 years of experience in relational database programming

• Bachelor’s degree in relevant field, or equivalent combination of education and additional directly applicable experience; Masters degree preferred

• Experience with techniques for manipulation and analysis of very large data sets.

• Ability to write complex algorithms

• Highly skilled in database query languages like SQL