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Data Processing Assistant Jobs in Indiana (NOW HIRING)

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

Identify and implement automation opportunities to streamline data processing workflows * Create ... Provide recommendations on data standards, policies, and integration methods * Assist in ...

Eightelevengroup

GS - Data Science Pod

Indianapolis, IN · On-site

$171.92/hr

... assistants used across the team. * Configure and manage compute infrastructure that supports AI-driven research, model development, and large-scale data processing. * Participate in model or ...

Brooksource

GS - Data Science Pod

Indianapolis, IN · On-site

$55 - $75/hr

... assistants used across the team. * Configure and manage compute infrastructure that supports AI-driven research, model development, and large-scale data processing. * Participate in model or ...

Brotherhood Mutual

Payroll Processor I

Fort Wayne, IN · On-site

Corporate Office (Fort Wayne, IN) JOB SUMMARY Responsible for entering data, processing payroll and ... Demonstrate procedural knowledge needed to respond to routine questions from clients and assist ...

Brotherhood Mutual

Payroll Processor I

Fort Wayne, IN · On-site

Corporate Office (Fort Wayne, IN) JOB SUMMARY Responsible for entering data, processing payroll and ... Demonstrate procedural knowledge needed to respond to routine questions from clients and assist ...

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Showing results 21-40

All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Indiana

Data Processing Assistant information

See Indiana salary details

$11

$19

$33

How much do data processing assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data processing assistant in Indiana is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $21.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What are the most commonly searched types of Data Processing jobs in Indiana?

The most popular types of Data Processing jobs in Indiana are:

What are popular job titles related to Data Processing Assistant jobs in Indiana?

For Data Processing Assistant jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Processing Assistant jobs in Indiana look for?

The top searched job categories for Data Processing Assistant jobs in Indiana are:

What cities in Indiana are hiring for Data Processing Assistant jobs?

Cities in Indiana with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,111 per year, or $19.3 per hour.

Data Analyst

Banner Quality Management Inc

Odon, IN • On-site

Full-time

Posted 26 days ago

Key responsibilities

  • Design, develop, and implement Power BI dashboards and visualizations to track program performance, cost, and schedule metrics.

  • Manage and support CBO systems and tools, including data repositories, dashboards, and collaboration platforms, performing upgrades and providing user support.

  • Collect, analyze, and report performance-related data, applying statistical techniques and supporting planning and decision-making processes.

Job description

Position Overview

Banner Quality Management Inc. (BQMI) is seeking a highly motivated Data Analyst to support the Corporate Business Office (CBO) at NSWC Crane. This position will focus on designing, developing, and implementing advanced data analytics, reporting solutions, and business intelligence tools to support program performance, cost management, and schedule tracking.

The ideal candidate will have strong expertise in data visualization, data architecture, business systems analysis, and process improvement, along with the ability to communicate complex technical information to diverse audiences.


Minimum Qualifications

  • Bachelor’s degree in Data Analytics, Information Systems, Business, Engineering, or related field
  • 3–5 years of relevant professional experience
  • Experience with Power BI, Excel, and database management
  • Strong analytical, documentation, and communication skills
  • Secret level Clearance required


Key Responsibilities

Business Intelligence & Dashboard Development

  • Design, develop, and implement a suite of Power BI dashboards to meet program and stakeholder requirements
  • Connect to authoritative data sources and migrate legacy Excel-based data into enhanced database solutions
  • Develop visualizations to track contract performance, cost, and schedule metrics
  • Identify and implement automation opportunities to streamline data processing workflows
  • Create and document standardized dashboard development and delivery processes

Systems & Tools Management

  • Oversee and manage CBO systems and tools including:
  • User and customer management systems
  • Data repositories and databases
  • Dashboards and reporting tools
  • Collaboration platforms (e.g., SharePoint)
  • Communication and social media tools
  • Perform system upgrades and enhancements to improve capability and efficiency
  • Provide user support and interface assistance
  • Develop and deliver training related to business systems and tools

Data Strategy & Architecture Support

  • Support NSWC Crane’s data strategy initiatives, particularly in data architecture
  • Develop white papers, conceptual/logical data models, and business systems analyses
  • Provide recommendations on data standards, policies, and integration methods
  • Assist in infrastructure and systems assessments
  • Support predictive modeling, statistical simulation, and machine learning initiatives
  • Help transition of data science models into continuous production systems

Business Systems Development & Lifecycle Management

  • Develop, configure, or enhance business tools and systems based on defined requirements
  • Manage full data lifecycle processes for reporting and analytics solutions
  • Develop reporting databases using tools such as Excel, Access, SQL/.NET, and ERP-integrated systems
  • Produce documentation including architecture diagrams, process definitions, user instructions, and training materials
  • Conduct or oversee training for new and enhanced tools and processes

Data Analysis & Performance Reporting

  • Collect, analyze, and report performance-related data
  • Apply statistical techniques for process and cost analysis
  • Identify cost reductions and efficiency improvements
  • Support planning, execution, and reporting of cost, schedule, and performance metrics
  • Provide written analyses and recommendations for Government review and decision-making

Technical Documentation & Communication

  • Prepare, review, and maintain process, technical, quality, systems, and user documentation
  • Write for technical and non-technical audiences
  • Gather and analyze product and system information to document new or changing capabilities
  • Develop innovative documentation methods such as video tutorials, demos, and digital guides
  • Collaborate with teams to produce user guides, tutorials, training materials, and procedural documentation


Preferred Skills

  • Experience working with ERP systems and authoritative data sources
  • Familiarity with data modeling methodologies and statistical analysis techniques
  • Knowledge of automation tools and workflow optimization
  • Experience supporting government or DoD environments (preferred)


Key Competencies

  • Analytical thinking and problem-solving
  • Process improvement mindset
  • Strong written and verbal communication skills
  • Ability to manage multiple systems and priorities
  • Detail-oriented with strong documentation skills

Apply