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Data Analysis Jobs in Indiana (NOW HIRING)

Perform data analysis to identify trends, patterns, and correlations. * Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI. * Collaborate with cross ...

Data Analysis & Reporting * Collect, analyze, validate, and interpret structured and unstructured data from multiple sources to support operational and strategic initiatives * Develop recurring and ...

Customs and Border Protection (CBP) through data-driven analysis, reporting, and operational insights. This role will support mission and business operations by collecting, analyzing, and ...

Your expertise in data analysis, statistical modeling, and data visualization will play a crucial role in helping our organization optimize performance, identify trends, and uncover opportunities for ...

Provides data analysis and database management support to programs and initiatives. * Serves as a resource person to all levels of management in reviewing, understanding, and analyzing data for ...

Proficient in Excel and other basic data analysis tools. * Working knowledge of SQL and relational databases. * Exposure to data visualization tools such as Tibco Spotfire, Tableau, or Power BI.

Proficient in Excel and other basic data analysis tools. * Working knowledge of SQL and relational databases. * Exposure to data visualization tools such as Tibco Spotfire, Tableau, or Power BI.

Your expertise in data analysis, statistical modeling, and data visualization will play a crucial role in helping our organization optimize performance, identify trends, and uncover opportunities for ...

Your expertise in data analysis, statistical modeling, and data visualization will play a crucial role in helping our organization optimize performance, identify trends, and uncover opportunities for ...

Your expertise in data analysis, statistical modeling, and data visualization will play a crucial role in helping our organization optimize performance, identify trends, and uncover opportunities for ...

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 ...

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 ...

Works with complex datasets to perform exploratory data analysis to provide insights to make business decisions. * This role combines consultative and technology focus to Data Analytics. * The ...

Perform data analysis to identify trends, risks, and opportunities that support strategic goals * Ensure data accuracy, consistency, and usability across reporting assets Stakeholder Partnership

Experience using SAS for data analysis and reporting - Required - 1 Years * Ability to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional setting - Required - 2 ...

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Data Analysis information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do data analysis jobs pay per year?

As of May 28, 2026, the average yearly pay for data analysis 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 Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What are the most commonly searched types of Data Analysis jobs in Indiana? The most popular types of Data Analysis jobs in Indiana are:
What cities in Indiana are hiring for Data Analysis jobs? Cities in Indiana with the most Data Analysis job openings:
Infographic showing various Data Analysis job openings in Indiana as of May 2026, with employment types broken down into 1% Internship, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.
DWD - Data Analyst

DWD - Data Analyst

Staffingine LLC

Indianapolis, IN • On-site

Full-time

Posted 3 days ago


Job description

Job Title: DWD - Data Analyst
Location: Indianapolis, IN
Job Type: Full-Time

Job Description:

  • Gather, clean, and organise large datasets from various sources.
  • Validate and verify data accuracy, consistency, and completeness across various data sources.
  • Identify and resolve data discrepancies, inconsistencies and errors.
  • Perform routine and ad hoc data quality checks using automated and manual validation techniques.
  • Work closely with data entry teams and other analysts, and stakeholders to ensure data integrity.
  • Perform data analysis to identify trends, patterns, and correlations.
  • Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI.
  • Collaborate with cross-functional teams to support business objectives.
  • Interpret data to provide strategic recommendations and business insights.
  • Ensure data accuracy and integrity.
  • Use statistical techniques and predictive modelling to improve decision-making.
  • Document processes and methodologies for data collection and analysis.

Required Skills & Qualifications:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proficiency in data analysis tools such as SQL, Python, R, or Excel.
  • Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work independently and in a team-oriented environment.