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Remote Healthcare Data Analyst Jobs in Indiana (NOW HIRING)

This is a remote position Travel: Up to 25 percent, with heavier travel expected during onboarding and key initiatives Department : FP&A / Data Analytics Reports To: Sr. Director of FP&A Position ...

... healthcare with the next groundbreaking discovery. As part of our team of more than 2,900 ... Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... and healthcare software verticals. Our success has been realized through investments in our ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

... analytical work flows, and will work with a range of data types (tabular, spatial, remote sensing ... TNC offers a competitive, comprehensive benefits package including health care benefits, flexible ...

Showing results 41-60

Remote Healthcare Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do remote healthcare data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote healthcare 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 does a remote healthcare data analyst do?

A Remote Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work from a remote location, using data analytics tools to interpret trends, identify patterns, and generate reports that support healthcare providers, insurance companies, or government agencies. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Strong analytical, technical, and communication skills are essential for this role.

How does a remote healthcare data analyst typically collaborate with clinical teams, and what tools are commonly used for effective remote communication?

Remote Healthcare Data Analysts frequently work with clinical teams to interpret data trends and support decision-making. Collaboration usually happens through virtual meetings, secure messaging platforms, and shared dashboards. Tools like Microsoft Teams, Slack, and HIPAA-compliant data sharing systems are commonly used to ensure secure and efficient communication. Building strong relationships and maintaining clear, consistent updates are key to overcoming the challenges of remote work and ensuring seamless teamwork.

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

To thrive as a Remote Healthcare Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and a degree in health informatics, statistics, or a related field. Experience with data analysis tools like SQL, Python, Excel, and familiarity with healthcare databases and HIPAA compliance are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for presenting insights and collaborating remotely. These skills ensure accurate data interpretation, support evidence-based decisions, and facilitate secure, efficient operations in a virtual healthcare environment.

Is it possible to get a remote job as a healthcare data analyst?

Yes, remote healthcare data analyst positions are available and increasingly common, often requiring skills in data analysis tools like SQL, Excel, and statistical software, as well as knowledge of healthcare data systems. Many employers offer remote work options, especially for experienced analysts with relevant certifications and strong communication skills.

Can a remote healthcare data analyst work in healthcare?

A remote healthcare data analyst works within the healthcare industry by analyzing medical data, patient records, and healthcare trends to support decision-making. They often use tools like SQL, Excel, and data visualization software and may need relevant certifications or knowledge of healthcare regulations such as HIPAA. Their role is essential for improving healthcare outcomes and operational efficiency remotely.

Can remote healthcare data analysts work from home?

Remote healthcare data analysts can often work from home, as their tasks primarily involve analyzing digital health records, using data analysis tools, and communicating findings virtually. Many employers offer flexible or fully remote positions, especially for those with skills in SQL, Excel, and data visualization software. However, some roles may require occasional on-site visits or collaboration with healthcare teams.

Is there a demand for remote healthcare data analysts?

The demand for remote healthcare data analysts is growing due to increased reliance on digital health records, data-driven decision making, and telehealth services. Employers in healthcare organizations, insurance companies, and research institutions seek professionals skilled in data analysis, often requiring proficiency in tools like SQL, Excel, and data visualization software. This trend is expected to continue as healthcare increasingly adopts remote and technology-based solutions.
What are the most commonly searched types of Healthcare Data Analyst jobs in Indiana? The most popular types of Healthcare Data Analyst jobs in Indiana are:
What are popular job titles related to Remote Healthcare Data Analyst jobs in Indiana? For Remote Healthcare Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Data Analyst jobs in Indiana look for? The top searched job categories for Remote Healthcare Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Healthcare Data Analyst jobs? Cities in Indiana with the most Remote Healthcare Data Analyst job openings:
Infographic showing various Remote Healthcare Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 2% Locum Tenens, 85% Full Time, 9% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analytics Manager

Specialty Foods Group

Delphi, IN โ€ข Remote

Full-time

Re-posted 5 hours ago


Job description

Data Analytics Manager

Location: This is a remote position

Travel: Up to 25 percent, with heavier travel expected during onboarding and key initiatives

Department: FP&A / Data Analytics

Reports To: Sr. Director of FP&A

Position Overview

As a Data Analytics Manager in the FP&A group, you will play a key role in building out analytics capabilities from the ground up. This is a hands-on leadership role where you will lead reporting and analytics development, partner with business teams, and drive meaningful insights that support decision-making across the organization. You will operate at the intersection of strategy and execution, balancing business partnership, technical depth, and process improvement. A critical component of this role is designing, building, and executing a scalable data lake and data architecture to serve as the single source of truth for the enterprise. This role offers the opportunity to influence how the business thinks about and uses data, while shaping future team structure as opportunities and requests grow.

Key Responsibilities:Team Leadership and Development
  • Build and shape a high-performing analytics team as needs grow
  • Provide direction, mentorship, and coaching to future analysts
  • Foster a collaborative, results-focused team environment centered on learning and execution
Strategic Partnership and Collaboration
  • Partner with business leaders to identify opportunities for improved reporting, process efficiency, and data-backed decision-making
  • Translate business needs into actionable analytics solutions in alignment with strategic priorities
  • Build strong cross-functional relationships with Finance, Operations, IT, and other support teams
  • Design and implement best-in-class data drivers and performance metrics to accelerate decision-making
Data Architecture and Engineering
  • Design, build, and execute a scalable enterprise data lake and supporting data architecture
  • Establish raw, curated, and reporting data layers to support analytics and reporting needs
  • Develop and manage ETL/ELT pipelines to integrate data from SAP S/4HANA, Digital Manufacturing, and legacy systems
  • Ensure data governance, data quality, and consistency across the enterprise to enable a true single source of truth
  • Evaluate and implement appropriate cloud technologies (Azure, AWS, Snowflake, etc.) to support scalability and performance
Data Analytics and Reporting
  • Build and manage scalable dashboards and reports using Power BI and other tools
  • Develop models and run ad hoc analyses tied to financial and operational goals
  • Automate data processes using tools such as SQL, Python, R, or Alteryx
Process Improvement and Innovation
  • Identify and implement improvements in reporting structure, accuracy, and delivery
  • Maintain and optimize database environments to ensure data reliability and scalability
  • Stay current with trends in analytics, visualization, and automation to bring forward innovative solutions
Training and Communication
  • Support business partners in effectively using dashboards and self-serve analytics tools
  • Present findings clearly to both technical and non-technical audiences
  • Ensure documentation of key metrics, calculations, and methodologies is accurate and transparent
Minimum QualificationsEducation and Experience
  • Bachelor's degree in Finance, Accounting, Business Analytics, Statistics, Data Science, Computer Science, or a related field
  • 3 to 5 years of experience in data analytics, FP&A, business intelligence, or data engineering
  • Hands-on experience building dashboards and reports, preferably in Power BI
  • Proficiency in SQL with exposure to scripting languages such as Python or R
  • Hands-on experience designing and building data lakes or enterprise data environments
  • Demonstrated ability to work cross-functionally and communicate insights effectively
Skills and Competencies
  • Strong analytical thinking and problem-solving skills
  • Excellent verbal and written communication abilities
  • Highly organized and self-motivated with the ability to manage time independently in a remote work environment
  • Comfortable working across distributed teams and managing competing priorities
Preferred Qualifications
  • Experience in manufacturing, CPG, or operational environments
  • Familiarity with SAP (S/4HANA, ECC, or BW) data structures
  • Experience with cloud-based data platforms such as Snowflake, Azure, or AWS
  • Experience with Alteryx, DAX, or Power Query for automation and transformation
  • Experience integrating SAP data into modern data lake architectures

Other Duties:

Please note, this job description is not designated to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.


Physical Demand:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Work is primarily performed in an office setting in a manufacturing environment requiring the ability to sit, talk, hear, frequent walking, standing, and sitting; use hands to finger, handle, or feel; reach with hands and arms and stoop, kneel, crouch, or crawl. Ability to occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and distance vision. Ability to use standard office equipment such as telephone, computer, and copier.


Background Screening/Checks:

This position is contingent upon the successful completion of a background check. This may include verification of employment, education, criminal background, driving history, and other relevant information, conducted in accordance with applicable federal, state, and local laws and regulations.

EOE, including Disability/Veteran

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