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Junior Data Analyst Jobs in Indiana (NOW HIRING)

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000. DHL Supply Chain ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... intelligence, analytics, and data-driven decision making. This position requires a solid ... Mentors other ETL Developers and Junior Data Engineers. Discovery, Design and Documentation (15%

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

... intelligence, analytics, and data-driven decision making. This position requires a solid ... Mentors other ETL Developers and Junior Data Engineers. Discovery, Design and Documentation (15%

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings from various sources. As such, the incumbent must be knowledgeable in information technology, data ...

Showing results 41-60

Junior Data Analyst information

See Indiana salary details

$32.8K

$75.5K

$121.3K

How much do junior data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for junior data analyst in Indiana is $75,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $77,600.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

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 Junior Data Analyst jobs? Cities in Indiana with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 3% Internship, 82% Full Time, 3% Part Time, 3% Temporary, and 9% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $75,508 per year, or $36.3 per hour.

Sr Business Data Analyst

DPDHL

Whiteland, IN

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago


Job description

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.

For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase General Bonus Plan and a generous PTO policy.


Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.


Job Description

As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You'll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you'll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Serve as a point of contact for Power BI-related questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and across multiple sites
  • Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
  • Apply Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups as needed by implementing analytics tools and reporting frameworks


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if role based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME