Skip to content

Open nowPosted 6 days ago

Medicaid Data Analyst

Abt Global20 open roles

Pay
$73,000 – $93,000 a year
Where
United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMedicaid Data AnalystAbt Global · United States
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Abt Global's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Abt Global postings stay open a median of 13 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 6 days ago

Abt Global median: 13 days open

The posting

Job Description

The Opportunity

TSPi, a division of Abt Global, is seeking a Medicaid Data Analyst to support data analysis, quality validation, and reporting activities using Medicaid Transformed Medicaid Statistical Information System (T-MSIS) data and T-MSIS Analytic Files (TAF). The ideal candidate will have hands-on experience working with large-scale Medicaid enrollment, eligibility, and claims data to evaluate healthcare utilization, identify data quality issues, and support CMS analytical initiatives.

This role will leverage Databricks and programming languages such as SQL and PySpark to analyze complex healthcare datasets, develop and execute data validation procedures, and produce actionable analytical findings. The analyst will collaborate with technical and program teams to ensure the accuracy, consistency, and reliability of Medicaid data used for research, reporting, and program oversight.

Key Responsibilities

  • Analyze Medicaid T-MSIS and T-MSIS Analytic Files (TAF) to support enrollment, eligibility, healthcare utilization, and data quality assessments.
  • Develop and execute analytical queries and data processing workflows using SQL and/or PySpark within Databricks.
  • Perform data profiling, validation, and quality assurance to assess the completeness, accuracy, consistency, and reliability of Medicaid data.
  • Analyze Medicaid enrollment trends, beneficiary characteristics, service utilization, and claims patterns across states and reporting periods.
  • Identify, investigate, and document data anomalies, discrepancies, and potential quality issues within T-MSIS and TAF datasets.
  • Support compliance with applicable healthcare data security, privacy, and governance requirements.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Analytics, Statistics, Mathematics, Public Health, Health Informatics, or a related field, or equivalent qualifying experience.
  • Minimum of 3 years of relevant experience, or a Master's degree with relevant experience.
  • Programming experience with SQL and/or PySpark for data extraction, transformation, validation, and analysis.
  • Experience working with large healthcare or administrative claims datasets.
  • Strong analytical, problem-solving, and technical documentation skills.
  • US work authorization required and the ability to obtain and maintain a Public Trust clearance, which may include fingerprinting.

Preferred Qualifications

  • Experience working with CMS Medicaid data systems, data quality initiatives, or federal healthcare analytics programs.
  • Familiarity with T-MSIS and TAF data structures, file layouts, data dictionaries, and data quality requirements.
  • Experience analyzing Medicaid beneficiary enrollment, eligibility categories, managed care enrollment, and healthcare service utilization.
  • Experience working with Medicaid claims and encounter data, including inpatient, outpatient, pharmacy, and long-term services and supports.
  • Experience with Python or other statistical programming tools.
  • Understanding of Medicaid program operations, healthcare claims processing, and federal healthcare reporting requirements.
  • Familiarity with healthcare data privacy, security, and governance practices.

What We Offer

We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life. The approach toward your wellbeing centers around comprehensive benefits, flexible schedules, and professional development.

TSPi, a Division of Abt Global is an Equal Opportunity employer committed to fostering an inclusive work environment. Abt provides market-competitive salaries and comprehensive employee benefits.

This position offers an anticipated annual base salary range of approximately $73,000 to $93,000 and may vary by ten percent depending on candidate geographic location. Salary offers are made based on internal equity and market analysis.

#LI-FJ1 #LI-REMOTE

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Abt Global's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Abt Global's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Abt Global's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.