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Intermediate Data Analyst Jobs in Indiana (NOW HIRING)

MISO

Senior Intermediate Planning Engineer

Carmel, IN · On-site

$127K - $152K/yr

As a Senior Engineer - Intermediate Planning, you'll help MISO bridge the critical space between ... Ability to analyze complex scenarios, identify problems, evaluate data, and develop technically ...

Hoosier Energy

Billing Analyst - Hybrid Remote

Bloomington, IN · On-site +1

$42K - $56K/yr

Maintains system load data and billing information databases; performs analysis related to loading ... Intermediate computer skills * Strong customer orientation * General understanding of electric ...

GadellNet

Cybersecurity Analyst

Indianapolis, IN · On-site

... data protection. The ideal candidate is a technically proficient problem-solver who upholds high ... Beginner- to intermediate-level knowledge of troubleshooting Windows OS operating systems and MacOS ...

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All JobsIntermediate Data Analyst JobsIntermediate Data Analyst Jobs in Indiana

Intermediate Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do intermediate data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for intermediate data analyst 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 is an intermediate data analyst?

Intermediate Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They possess solid analytical skills, working knowledge of data analysis tools, and the ability to interpret complex data sets. Typically, they have some experience beyond entry-level roles and can handle more advanced tasks such as building reports, creating dashboards, and supporting business strategies with data-driven insights. Their work often involves collaborating with other teams to identify trends and provide actionable recommendations.

How does an intermediate data analyst typically collaborate with other departments within an organization?

As an Intermediate Data Analyst, you'll frequently work alongside teams such as marketing, finance, operations, and IT to gather requirements, interpret data needs, and deliver actionable insights. You may be responsible for translating business questions into analytical tasks, sharing findings through presentations or dashboards, and supporting decision-making processes. Collaboration often involves participating in cross-functional meetings, clarifying data definitions, and ensuring that analysis aligns with organizational goals. Building strong relationships with stakeholders is key to understanding their challenges and ensuring your work has maximum impact.

What are the key skills and qualifications needed to thrive as an intermediate data analyst, and why are they important?

To thrive as an Intermediate Data Analyst, you need strong analytical skills, experience with data manipulation and statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, effective problem-solving, and clear communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate analyses that drive informed business decisions.

Is it still worth it to become a data analyst in 2026?

Data analyst roles remain valuable in 2026 as organizations continue to rely on data-driven decision-making, with skills in SQL, Excel, and data visualization tools like Tableau or Power BI in demand. The role often requires strong analytical skills, familiarity with programming languages such as Python or R, and the ability to interpret complex data sets, making it a stable career choice for those with relevant skills. Continuous learning and certification can enhance job prospects in this evolving field.

What is intermediate level data analysis?

Intermediate data analysts perform more complex data analysis tasks than entry-level roles, including data cleaning, visualization, and basic statistical modeling using tools like Excel, SQL, or Python. They interpret data insights to support decision-making and often work with larger datasets and more advanced techniques than beginners.

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 are popular job titles related to Intermediate Data Analyst jobs in Indiana?

For Intermediate Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Intermediate Data Analyst jobs in Indiana look for?

The top searched job categories for Intermediate Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Intermediate Data Analyst jobs?

Cities in Indiana with the most Intermediate Data Analyst job openings:

Infographic showing various Intermediate Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Business Intelligence Analyst II

South Bend, IN • On-site

Tire Rack
Motor Vehicle Manufacturing • 501 - 1,000 employees
Learn more about Tire Rackexternal

Full-time

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

Tire Rack rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Business Intelligence Analyst II

Employment Type: Full-Time

Location: South Bend, IN (On-site)

The Business Intelligence Analyst II plays a key role in supporting Tire Rack’s business intelligence efforts by analyzing data, developing dashboards, and translating information into actionable insights. This position works closely with cross-functional teams to identify trends, uncover business opportunities, and support data-driven decision-making.

The ideal candidate demonstrates strong analytical and problem-solving skills, attention to detail, and the ability to communicate complex information clearly while managing multiple projects.

Responsibilities:

• Develop and maintain Tableau dashboards, reports, and data visualizations to support business needs

• Analyze moderately complex data sets to identify trends, opportunities, and actionable business insights

• Collaborate with team members and cross-functional partners to gather, analyze, and interpret data

• Use SQL and other analytical tools to retrieve, evaluate, and troubleshoot data

• Develop data-driven recommendations that support business processes, performance, and profitability

• Communicate findings and recommendations clearly to stakeholders and business partners

• Verify data accuracy and integrity across dashboards, reports, and other analytical deliverables

• Manage multiple projects and priorities while maintaining accuracy and meeting established deadlines

• Perform other duties as assigned to support daily operations

Qualifications:

• Minimum of 2 years of experience in a business analyst, business intelligence, or related analytical role with a focus on data visualization and reporting

• Proficiency with Tableau and experience developing dashboards and data visualizations

• Intermediate proficiency with SQL, including the ability to write and troubleshoot queries and understand relational database concepts

• Strong proficiency with Microsoft Excel and other spreadsheet tools for data analysis and reporting

• Strong analytical and problem-solving skills with the ability to translate data into meaningful business insights

• Strong attention to detail with a commitment to data accuracy and integrity

• Excellent written and verbal communication skills with the ability to collaborate effectively across teams

• Bachelor’s degree in Business, Engineering, Statistics, Data Science, or a related field, or equivalent experience required

Hours:

• Monday–Friday; occasional Saturdays and Sundays may be necessary

• 8:00 a.m. – 5:00 p.m.; additional hours may be necessary

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