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Seasonal Health Informatics Data Analyst Jobs in Indiana

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... 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 ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... 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 ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... 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 ...

Subaru

Data Analytics Developer

Lafayette, IN · On-site

Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent Desired Qualifications: * Master's Degree in Computer Science or related field or equivalent ...

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Seasonal Health Informatics Data Analyst information

Is IT worth being a data analyst in 2026?

A Seasonal Health Informatics Data Analyst role is expected to remain valuable in 2026 due to ongoing growth in healthcare data management and the increasing use of electronic health records. Skills in data analysis tools like SQL, Python, or R, along with understanding healthcare regulations, will enhance job prospects in this field.

What is the difference between Seasonal Health Informatics Data Analyst vs Health Data Analyst?

AspectSeasonal Health Informatics Data AnalystHealth Data Analyst
CredentialsBachelor's degree in health informatics, data analysis, or related field; certifications like CHDA are commonBachelor's or master's in health informatics, data analysis, or related; similar certifications
Work EnvironmentTemporary or seasonal projects in healthcare settings, public health agencies, or research institutionsFull-time roles in hospitals, clinics, or healthcare organizations
Employer & Industry UsageUsed mainly during specific seasons like flu outbreaks or public health campaignsYear-round data analysis in healthcare industry

The Seasonal Health Informatics Data Analyst focuses on short-term, seasonal projects related to health data, while the Health Data Analyst typically works on ongoing, year-round data analysis tasks. Both roles require similar credentials and are used across healthcare settings, but their work scope and duration differ.

Will AI take over healthcare informatics?

As a Seasonal Health Informatics Data Analyst, understanding AI's role is important; AI tools are increasingly used to analyze healthcare data, improve decision-making, and automate routine tasks. However, AI complements human expertise rather than replacing healthcare informatics professionals, who are essential for interpreting data, ensuring data quality, and maintaining ethical standards. The integration of AI requires knowledge of data management, programming, and healthcare systems, making human oversight crucial in the field.

Can a data analyst work in health informatics?

A data analyst can work in health informatics by analyzing healthcare data, improving patient outcomes, and supporting clinical decision-making. Skills in data management, statistical tools, and health information systems like EHRs are essential for success in this field.

Will healthcare data analyst be replaced by AI?

Healthcare data analysts, including those in health informatics, perform tasks that require critical thinking, domain knowledge, and interpretation of complex data, which AI currently cannot fully replicate. While AI tools can automate data processing and support decision-making, human analysts are essential for contextual analysis, validation, and strategic insights, making complete replacement unlikely in the near term.
What are the most commonly searched types of Health Informatics Data Analyst jobs in Indiana? The most popular types of Health Informatics Data Analyst jobs in Indiana are:
What are popular job titles related to Seasonal Health Informatics Data Analyst jobs in Indiana? For Seasonal Health Informatics Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Seasonal Health Informatics Data Analyst jobs in Indiana look for? The top searched job categories for Seasonal Health Informatics Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Seasonal Health Informatics Data Analyst jobs? Cities in Indiana with the most Seasonal Health Informatics Data Analyst job openings:
Seasonal Health Informatics Data Analyst jobs near you

Data Analyst - Indianapolis, IN

STI

Indianapolis, IN • On-site

Full-time

Re-posted 11 days ago

Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.

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