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Remote Data Analyst Jobs in Liberty, MO (NOW HIRING)

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... data analysis, with demonstrated proficiency in SQL against large, complex datasets. * Direct ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

The Director will manage a small team of data analysts and engineers and will work closely with an ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including ... You will work a hybrid schedule from our Leawood, KS or will consider remote within the United ...

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Remote Data Analyst information

See Liberty, MO salary details

$32.1K

$78K

$128.3K

How much do remote data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data analyst in Liberty, MO is $77,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Liberty, MO?

The most popular types of Data Analyst jobs in Liberty, MO are:

What job categories do people searching Remote Data Analyst jobs in Liberty, MO look for?

The top searched job categories for Remote Data Analyst jobs in Liberty, MO are:

What cities near Liberty, MO are hiring for Remote Data Analyst jobs?

Cities near Liberty, MO with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Liberty, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,979 per year, or $37.5 per hour.

Data Analyst

WellSky

Overland Park, KS • Remote

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

181st of 247 rated software companies


Job description

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and Hospice providers and payers. This role builds and maintains claims-based data extracts and performance measures, translates CMS methodologies and regulatory rules into production analytics, and partners with product and engineering to deliver trusted, data-driven insights. The work is retrospective, methodology-driven, and directly tied to how agencies measure and improve value-based performance.

Location: This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland Park, KS will join our WHQ community and participate in our in-office collaboration experience.

Key Responsibilities:

  • Build and maintain claims-based data extracts and measures from CMS data sources, including the Chronic Conditions Warehouse (CCW) and Limited Data Set (LDS), to support VBI Home Health and Hospice solutions.
  • Develop and maintain performance measures such as HHVBP claims-based measures, MSPB-PAC, Functional Items, hospitalization/ER/PPH/DTC rates, utilization and efficiency metrics, length of stay, and composite/percentile scores.
  • Interpret CMS regulations and annual Final Rules (e.g., HHVBP methodology, eTPS calculations) and translate measure specifications into accurate, reproducible SQL logic.
  • Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines, quarterly lookup-table refreshes, and extract automation.
  • Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs against CMS public benchmarks (e.g., Home Health Compare) and client expectations.
  • Investigate data quality issues and metric discrepancies, and document methodology, data sources, and assumptions so results are auditable and repeatable.
  • Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations.
  • Perform other job duties as assigned.

Required Qualifications:

  • Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work experience.
  • 2-4 years of experience in data analysis, with demonstrated proficiency in SQL against large, complex datasets.
  • Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or comparable claims sources).
  • Comfort with healthcare claims coding structures (e.g., ICD, HCPCS/CPT, revenue codes, DRGs).
  • Ability to translate written specifications or methodologies into analytical logic and validate results for accuracy.

Preferred Qualifications:

  • Knowledge of Home Health and/or Hospice operations, post-acute care, or value-based care programs (e.g., HHVBP, HHVBP eTPS, hospice HIS/HOPE).
  • Experience with CMS quality/value-based program methodologies and familiarity with reading CMS regulations/Final Rules.
  • Hands-on experience with BigQuery (or a comparable cloud data warehouse such as Snowflake) and a BI tool such as Sisense, Tableau, or Power BI.
  • Familiarity with risk adjustment or benchmarking concepts.
  • Scripting experience (e.g., Python) for data transformation and automation.

Job Expectations:

  • Willing to work additional or irregular hours as needed, particularly around quarterly CMS data refreshes and annual Final Rule cycles.
  • Must work in accordance with applicable security and HIPAA policies to safeguard company and client protected health information.
  • Must be able to sit and view a computer screen for extended periods of time.

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WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.

Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.

Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.

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