Business Data Analyst

InfinityRx

Village of New Hyde Park (NY)

On-site

USD 80,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Competitive salary based on experience
Paid time off
Company laptop
Room for advancement and growth

Job summary

A healthcare technology company is seeking a Claims Processor to transform raw claims into actionable insights. The role requires strong SQL and data analysis skills, ensuring effective communication with non-technical stakeholders. Candidates should have 3-5 years of experience, preferably within the healthcare sector. Responsibilities include automating reporting processes, analyzing data trends, and building forecasting models. The position offers a competitive salary range of USD $80,000 to $100,000 for candidates in New York.

Qualifications

  • Strong proficiency in SQL and programming languages such as Python or R.
  • Understanding of financial or transactional data.
  • Knowledge of statistical analysis, data mining, and predictive modeling.
  • Minimum of 3–5 years of relevant experience.

Responsibilities

  • Partner with Finance to design and automate reconciliation and reporting processes.
  • Analyze claims and operational data to identify trends and cost drivers.
  • Build dashboards and models that support financial forecasting and decision-making.
  • Collaborate with developers to improve data integration, quality, and transparency.
  • Communicate insights clearly to non-technical stakeholders.

Skills

SQL
Data analysis
Python or R
Microsoft Excel
Statistical analysis
Problem-solving

Tools

Big data technologies
Cloud platforms (e.g., Microsoft Azure)

Job description

Overview

Join InfinityRx and its team of changemakers in this rare ground-floor opportunity to play an important role in transforming the healthcare industry. InfinityRx Claims Processor™ (ICP) represents NEW cloud-based pharmaceutical claims processing technology and is just one of our products in a portfolio of technical business solutions that will have an ever-changing impact on the pharmaceutical healthcare industry.

You’ll play a pivotal role in shaping how InfinityRx turns raw claims and financial data into actionable intelligence. The ideal candidate combines strong SQL and data analysis skills with a passion for accuracy, collaboration, and problem-solving across technical and business domains.

Responsibilities
  • Partner with Finance to design and automate reconciliation and reporting processes.
  • Analyze claims and operational data to identify trends and cost drivers.
  • Build dashboards and models that support financial forecasting and decision-making.
  • Collaborate with developers to improve data integration, quality, and transparency.
  • Communicate insights clearly to non-technical stakeholders.
Skill Set
Required
  • Strong proficiency in programming languages such as Python or R, Microsoft Excel and advanced SQL skills.
  • Understanding of financial or transactional data.
  • Knowledge of statistical analysis, data mining, and predictive modeling.
  • Familiarity with big data technologies and tools.
  • Excellent problem-solving skills and attention to detail.
Preferred
  • Previous experience in the healthcare or pharmaceutical industry.
  • Familiarity with cloud platforms (e.g., Microsoft Azure).
  • Understanding of healthcare data standards and regulations.
  • Minimum of 3–5 years of relevant experience.
  • NCPDP experience a BIG PLUS.
  • Competitive salary based on experience.
  • Paid time off.
  • Company laptop.
  • Room for advancement and growth.

In compliance with New York's Pay Transparency Act, the annual base salary range for this position based in Long Island is USD $80,000 to $100,000. The range displayed reflects the minimum and maximum target for new hire salaries for the position should it be based in NY. Our salary ranges are determined by numerous factors, including, but not limited to, role, level, experience, and location.

  • “What we do today will affect everyone tomorrow – join us in changing the future of healthcare.”
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