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Entry Level Data Analyst Jobs in Indiana (NOW HIRING)

This role is an entry-level position and is expected to perform assigned duties under established ... Retrieve, validate, and analyze data from multiple data sources, including but not limited to ...

Entry Level Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Data Analysts, Data Scientists * Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles: * Bachelor's or Master's degree in CS, CE, EE, IT, or related

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The Analyst I provides entry-level analytical, data management, and operational support to the organization. This role assists with collecting, organizing, and analyzing data; preparing reports ...

C++ Developer

Indianapolis, IN · On-site

$46.75 - $63/hr

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Junior Java/C++ Developer

Fort Wayne, IN · On-site

$61K - $79K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Position: Entry-Level Accountant / Financial Analyst Location: Plymouth, IN (Onsite) About the ... data and assist with budgeting, reporting, and operational analysis . • Work with the accounting ...

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Entry Level Data Analyst information

See Indiana salary details

$12

$31

$58

How much do entry level data analyst jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for entry level data analyst in Indiana is $31.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $35.00 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Indiana? The most popular types of Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Data Analyst jobs? Cities in Indiana with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $65,170 per year, or $31.3 per hour.
Data Analyst I

Data Analyst I

First Financial Bank

Terre Haute, IN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Address
We're always looking for bright individuals to join our growing organization. As a part of the First Financial Family, we will invest in your development and provide a dynamic work environment where you're challenged, valued and empowered every day. We strive to be the best destination for the industry's top talent, creating a diverse, collaborative workplace that celebrates innovation and change. We are one team, working together to get things done.
Job Description:
Office Location:
Abilene, Texas, United States
*This is an in-office position in Abilene, Texas
SCOPE/CONTACTS:
This position works with other team members as well as bank and FTS personnel. Contacts are regularly with persons outside of their own department or work group to gather requirements, validate data, and discuss reporting needs, data quality issues, and business insights. Tact, discretion, and diplomacy are necessary considerations.
ESSENTIAL FUNCTIONS:
The expectation of this position is to analyze data with assistance, develop and maintain reports and dashboards, and follow established processes to ensure data accuracy, consistency, and appropriate use prior to release into production environments, while keeping management informed of task and project progress. This position will also participate in discussions related to data support.
This role is an entry-level position and is expected to perform assigned duties under established standards, processes, and supervisory guidance, with appropriate training and support provided as needed. The level of independence will increase as knowledge, skills, and experience are developed.
  • Work with Project Managers, Development Managers, Business Analysts, Application Analysts, Stakeholders, and other team members to understand reporting requirements and data needs.
  • Develop, maintain, and enhance reports and dashboards using tools such as Cognos and Power BI.
  • Retrieve, validate, and analyze data from multiple data sources, including but not limited to Snowflake, Google BigQuery, SQL Server, MS Fabric and other structured data sources as required.
  • Assist in documenting data sources, data definitions, calculations, and report logic to support transparency, auditability, and ongoing maintenance.
  • Document current-state and future-state reporting processes.
  • Validate data accuracy and completeness prior to publishing reports or dashboards.
  • Follow departmental and team standards related to data access, data governance, change management, and deployment of reports to production environments.
  • Participate in troubleshooting and resolution of data discrepancies, report issues, and performance concerns.
  • Manage assigned tasks to deadlines and communicate progress, risks, and issues appropriately to team members and management.
  • Work effectively in a team environment and maintain positive working relationships with internal customers.
  • Actively support the values of the organization and follow established company policies, procedures, and security requirements, including data confidentiality standards.

This job requires strong analytical and critical-thinking abilities, attention to detail, and effective written and verbal communication skills.
MINIMUM QUALIFICATIONS:
  • Bachelor's degree in a computer-related, data-related, or analytical field, or equivalent experience.
  • Ability to learn and work with business intelligence and reporting tools such as Power BI and Cognos.
  • Understanding of relational databases and data concepts, including tables, views, joins, and basic data modeling.
  • Ability to retrieve and analyze data using SQL from sources such as SQL Server, Snowflake, BigQuery, MS Fabric, and similar platforms.
  • Basic understanding of data warehousing concepts and reporting best practices.
  • Ability to document data sources, report logic, and requirements clearly.
  • Must display troubleshooting skills that can start with a data or reporting issue and systematically isolate and rule out potential causes with assistance.
  • Strong attention to detail with a focus on data accuracy and consistency.
  • Must be a self-starter with the ability to work well on a team.
  • Should possess good communication skills, be goal-oriented, reliable, demonstrate initiative, flexibility, maintain confidentiality, and act in a courteous and professional manner.

The above statements reflect the general details considered necessary to decide the principal functions of the job identified and shall not be construed as a detailed description of all work requirements that may be inherent in the job.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)