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Open nowPosted 43 days ago

MIS DATA QUALITY ANALYST

Montefiore Health System366 open roles

Pay
$82,400 – $103,000 a year
Where
100 Corporate Boulevard
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Your applicationOpen nowMIS DATA QUALITY ANALYSTMontefiore Health System · 100 Corporate Boulevard

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Montefiore Health System postings stay open a median of 34 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 43 days ago

Montefiore Health System median: 34 days open

The posting

City/State:

Yonkers, New York

Grant Funded:

Yes

Department:

CMO - Technical Services

Work Shift:

Day

Work Days:

MON-FRI

Scheduled Hours:

8 AM-4:30 PM

Scheduled Daily Hours:

7.5 HOURS

Pay Range:

$82,400.14-$103,000.17

Position Summary

The Data and Process Quality Analyst will be responsible for ensuring the accuracy, integrity, and quality of data and business processes supporting Montefiore's Health Home program. This role is part of a technical team supporting a complex system including web applications, data interfaces, billing and finance processes, claims and remittance workflows, and reporting solutions. The successful candidate will develop deep knowledge of both the NYS Medicaid Health Home program and the underlying technology platform, including large relational databases, complex stored procedures, and business rules. A key responsibility of this role is proactively identifying data quality issues, process breakdowns, and operational gaps through advanced SQL analysis, root cause investigation, and reporting. This is a hands-on analytical role requiring strong technical skills, curiosity, and the ability to connect business processes with underlying data. ON-SITE WORK REQUIRED

Responsibilities

  • Monitor and analyze data quality across multiple systems and processes.
  • Write advanced SQL queries to identify data anomalies, discrepancies, and trends.
  • Perform root cause analysis to determine sources of data and process issues.
  • Develop reports and monitoring tools that enable operational teams to identify and correct issues.
  • Analyze business workflows and data flows to identify process gaps and improvement opportunities.
  • Support daily file exchanges and data reconciliation activities with NYS DOH MAPP.
  • Collaborate with developers, analysts, and operational teams to implement corrective actions and improve quality.

Qualifications

Education

  • Bachelor's degree required; Master's degree preferred.

Experience

  • 5+ years in data quality, data analytics, business intelligence, or a related analytical role.
  • Healthcare experience strongly preferred.

Technical Skills

  • Advanced SQL proficiency with demonstrated ability to write complex queries against large relational databases.
  • Strong understanding of relational database structures, data relationships, and data quality principles.
  • Experience analyzing complex business processes, data flows, and system logic.
  • Ability to understand and troubleshoot stored procedures, interfaces, and batch processes.
  • Experience developing analytical reports and exception monitoring solutions.

General Skills

  • Exceptional analytical, investigative, and problem-solving abilities.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent written and verbal communication skills.
  • Understanding of SDLC concepts and practices.

Preferred

  • Experience with Medicaid, healthcare operations, claims, billing, or NYS Health Home programs.
  • Familiarity with NYS Medicaid policies and regulations.

Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.

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