Data Analyst

Data Analyst

Teaneck, NJ (Hybrid Potential)

1st Shift, Full-Time

Direct Hire

Compensation: $80k-$125k/yr base

Local and relo candidates encouraged to apply!

SUMMARY

The Data Analyst will be responsible for specialty pharmacy data operations. The role will lead logistics related to SP data RFPs, contracting, and CPC reviews and will drive the day-to-day operations and integration of specialty pharmacy data in downstream processes, including the Patient E2E ecosystem and third-party syndicated data use for field operations. S/he will collaborate with other departments to align with FMV, HCC, and CPC processes, and partner with external vendor aggregators.

RESPONSIBILITIES

Manage operational processes to onboard Specialty Pharmacy Data

Partner with data stewards, pharmacy solutions, and PECS

Drive requirements for vendor aggregator to ensure data completeness and readiness

Provide Specialty Pharmacy Data Quality Assurance

Understand the data aggregation and integration processes to identify and resolve data issues

Monitor and track weekly physician-level and patient-level data deliveries for quality and consistency

Develop scalable processes and tools to monitor and ensure data accuracy

Analyze large amounts of data/information to discover and articulate trends and patterns

Build predictive models and machine-learning algorithms

Use advanced data modeling and analysis techniques to synthesize conclusions that will guide strategic decisions

Conduct market research, gather, and interpret data, execute analysis to develop meaningful insights

Perform ad-hoc analysis and projects as required by management

QUALIFICATIONS

Education:

• Bachelor’s degree or Master’s degree +3 years of relevant experience in statistics,

mathematics, computer science, operations research, industrial engineering, economics, or a related field.

Experience:

A minimum 3 years of experience working with Specialty Pharmacy data flow and data structure required

Strong background and experience in the healthcare/life sciences field

Strong analytical mindset, strong verbal, and written communication skills, and strong problem-solving experience

Proficient in SQL, R, Python, SAS, Dataiku or similar programming languages/analytical tools

Experience in data and data services contracts

Experience with data visualization software (Tableau, Power BI, MicroStrategy, Qlik, think-cell, etc.) and distilling data into meaningful graphics

Preferable experience with CRM software (Salesforce) and extracting data via API

Preferable knowledge of commercial Life Sciences data sets (NPP, DDD, Xponent, Plantrak, SPP)

Other Knowledge, Skills, and Abilities:

Strong analytical and interpersonal skills

Must have organizational skills with the ability to communicate across all departments

Ability to work independently and adjust priorities to achieve accurate and timely results

Strong communication skills (verbal and written)

Proficient computer skills, including Excel pivot tables and v-look-up, Word, and PowerPoint

Ability to identify opportunities for process improvements and aptitude for continuous improvement and change

P#1

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