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Data Analytics Jobs in Marion, IN (NOW HIRING)

Haynes International

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Ball State PBS

Internal Audit Specialist

Muncie, IN · On-site

$55K - $65K/yr

Incorporate data analytics and/or automation in audit procedures to drive efficiencies. * Identify, develop, and document audit issues and recommendations using independent judgment concerning areas ...

Ball State University

Internal Audit Specialist

Muncie, IN · On-site

$55K - $65K/yr

Incorporate data analytics and/or automation in audit procedures to drive efficiencies. * Identify, develop, and document audit issues and recommendations using independent judgment concerning areas ...

New

Bsu

Internal Audit Specialist

Muncie, IN · On-site

$55K - $65K/yr

Incorporate data analytics and/or automation in audit procedures to drive efficiencies. * Identify, develop, and document audit issues and recommendations using independent judgment concerning areas ...

Our Sunday Visitor, Inc.

Process Specialist

Huntington, IN · On-site

$48K - $52K/yr

Analyze data to identify patterns, root causes, performance gaps, and recurring issues that affect customer satisfaction or operational efficiency. * Review the overall order processes across teams ...

Our Sunday Visitor

Process Specialist

Huntington, IN · On-site

Analyze data to identify patterns, root causes, performance gaps, and recurring issues that affect customer satisfaction or operational efficiency. * Review the overall order processes across teams ...

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Data Analytics information

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How much do data analytics jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data analytics in Marion, IN is $54.04, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in Marion, IN look for?

The top searched job categories for Data Analytics jobs in Marion, IN are:

What cities near Marion, IN are hiring for Data Analytics jobs?

Cities near Marion, IN with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Marion, IN as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $112,413 per year, or $54 per hour.

Data Analytics Manager

Kokomo, IN • On-site

Haynes International
Primary Metal Manufacturing • 1 - 5K employees
Learn more about Haynes Internationalexternal

Full-time

Re-posted 15 days ago

Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About the Opportunity:
Design, develop, and maintain innovative data analytics and BI solutions to generate operational insights to ensue sound decision making amongst Haynes International. Lead analytics strategy supporting all areas of Haynes International, converting data into meaningful & actionable business insights. Create strategy to move from Targit to Power BI.
Qualifications (Required and Preferred):
Education: BS/BA in Engineering, Data Analytics, Business Systems, or Statistics (R); MBA (P)
Experience: 5-10 years in IT, Data, Planning, Manufacturing (P)
Areas of Knowledge: Supervision (R), Scheduling (P), Planning and Estimating (R), Data Analytics (R), Manufacturing/Warehousing (P), AX System/D365 (R), APICS (P), MRP (P), TARGIT (P), Power BI (P), MS SQL (P)
Skills: Windows-based software, data analytics, value stream mapping, manufacturing process flow, strong communication, math skills, leadership, inventory control, process optimization, data science, presentation skills, attention to detail, multitasking.
Role Responsibilities:
  • Build dashboards, reports, and data models for all departments
  • Maintain D365 supply chain data (run times, yields, forecasts, vendor lists, etc.)
  • Ensure data integrity between Shopfloor and D365
  • Convert Access/Excel systems to modern platforms (i.e. Targit & Power BI)
  • Create reports using TARGIT and Power BI
  • Develop KPIs and metrics
  • Integrate data across multiple sites
  • Create plan for moving from Targit to Power BI
  • Manage analytics priorities and team performance
  • Create data governance framework with the entire Haynes International Organization
  • Once on Power BI, create a self-service dashboard and data request tool/library

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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