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Remote Data Analyst Jobs in Indiana (NOW HIRING)

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Indiana

Remote Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do remote data analyst jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available as remote jobs, allowing professionals to work from anywhere with a computer and internet connection. Remote data analysts often use tools like Excel, SQL, and data visualization software, and strong communication skills are important for remote collaboration.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a remote data analyst involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

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 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.

What jobs pay 200,000 a year in the USA?

Remote Data Analysts typically do not reach $200,000 annually, but senior data analyst roles with extensive experience, advanced skills in SQL, Python, or R, and industry certifications can approach or exceed this level. High-paying data-related roles often involve leadership, specialized expertise, or working in industries like finance or technology. Executive or specialized data science positions are more likely to offer salaries at or above this threshold.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Indiana? The most popular types of Data Analyst jobs in Indiana are:
What are popular job titles related to Remote Data Analyst jobs in Indiana? For Remote Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Indiana look for? The top searched job categories for Remote Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Analyst jobs? Cities in Indiana with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 1% Locum Tenens, 40% Full Time, 53% Part Time, and 6% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.
Senior Data Analyst

Senior Data Analyst

CSpring

Indianapolis, IN • On-site, Remote

$82K - $103K/yr

Full-time

Posted 21 days ago

Job description

Description

At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work — from data strategy and engineering to workforce transformation — improves lives across Indiana and beyond. We’re seeking talented professionals who are collaborative, curious, and committed to making a difference.


What You\'ll Do

  • Engage with business and technical stakeholders to gather, analyze, document, define, and standardize business/data requirements (2%).
  • Perform or lead Gap Analysis between as-is and to-be systems to identify shortcomings (5%).
  • Develop and maintain documentation including requirement specifications, RTMs, acceptance criteria, process flows, and data mapping documents, using SharePoint and Confluence for version control and collaboration (2%).
  • Design, develop, and optimize complex data models and validation frameworks using SQL and Teradata (5%).
  • Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls (5%).
  • Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting standards (5%).
  • Oversee or ensure timely, accurate, error-free, and compliant submission of monthly extracts and quarterly CMS reports (claims, provider, eligibility, CMS-64.9 forms) (5%).
  • Lead enterprise level analytical initiatives supporting CMS reporting systems and Indiana healthcare programs (5%).
  • Conduct advanced data analysis, modeling, and automation using Excel (Power Query, Power Pivot, VBA macros, complex formulas, dynamic arrays, and scenario modeling) (10%).
  • Develop and maintain interactive dashboards and visualizations using Tableau and Power BI to identify trends, anomalies, compliance risks, and key performance metrics for executive and federal reporting (7%).
  • Define and implement enterprise data quality governance frameworks, KPIs, automated validation rules, and monitoring systems (5%).
  • Lead and coordinate complex testing/QA/UAT activities by establishing strategies, overseeing execution, and reviewing test cases prepared by junior analysts (5%).
  • Provide mentorship and technical leadership to junior analysts on advanced SQL, Informatica ETL, Power BI/Tableau development, and CMS processes (10%).
  • Recommend and drive implementation of process enhancements, tool upgrades, and automation initiatives for efficiency and compliance (10%).
  • Manage and analyze Treatment Episode Data Set (TEDS) Admission and Discharge data submissions for the Division of Mental Health and Addiction (DMHA) (4%).
  • Collaborate with the CMS State Support Team to analyze, document, and implement TMSIS (Transformed Medicaid Statistical Information System) updates and changes required by CMS (4%).
  • Research, interpret, and ensure application of HHS/CMS rules and regulations to maintain ongoing compliance with Indiana Medicaid/Medicare systems (7%).
  • Coordinate with the State Board of Accounts (SBOA) to design and deliver customized annual data extracts for audits and financial reporting, using automated workflows and secure transmission processes (4%).
  • Remote work requests will be considered consistent with company’s remote work policy.
  • Domestic travel required less than 2% of the time.

Requirements

This position requires a:

  • Bachelor’s degree in Computer Science, Information Systems, Systems Engineering, or a related field, or foreign equivalent
  • 7 years of relevant experience in data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the Business Systems Analyst or relevant position

This position also requires:

  • 7 years of experience with handling multiple projects/workstreams simultaneously
  • 7 years of experience defining and executing test strategies, UAT, and QA methodologies
  • 7 years of experience with Agile and Waterfall software development methodologies
  • 7 years of experience using JIRA, Zephyr, and comparable tools for project tracking and test management
  • 7 years of experience in SQL and Teradata for data extraction, modeling, and validation
  • 7 years of experience developing data dashboards and analytical reports using Tableau and comparable BI tools
  • 5 years of experience utilizing data quality frameworks and data governance best practices
  • 5 years of experience with Medicaid including CMS reporting compliance experience.
  • Will accept any suitable combination of education, training, and experience.

At CSpring, we unlock the potential of people and data. If you’re ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment — apply today!

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