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Excel Data Analyst Jobs in Indiana (NOW HIRING)

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.

Data Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 11 Months ... Excel, Word, and PowerPoint. • Effective time management and program management skills. • ...

DWD - Data Analyst Location: Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise ... Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI.

Strategic, Hands-On Work - From data analysis and documentation to client workshops and solution ... Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio) * Willingness to work in a ...

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

Customs and Border Protection (CBP) through data-driven analysis, reporting, and operational ... Experience with Microsoft Excel, Power BI, Tableau, SQL, or similar reporting and visualization ...

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... Strong Excel skills, including pivot tables, VLOOKUP, and advanced formulas * Experience with ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Proficiency in Microsoft Excel; familiarity with SQL and data visualization tools (e.g., Power BI ... Must have strong analytical and problem-solving skills * Must be able to communicate technical ...

Proficiency in Microsoft Excel; familiarity with SQL and data visualization tools (e.g., Power BI ... Must have strong analytical and problem-solving skills * Must be able to communicate technical ...

Indianapolis, IN OR Dayton, OH PositionSummary The Lead Data Analyst serves as a strategic ... Excel modeling. * Develop standardized KPI dashboards aligned to enterprise definitions and ...

The role will include exploratory data analysis, reporting, descriptive statistics, dataset ... Excel, Word, and PowerPoint. • Effective time management and program management skills. • ...

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... data analysis, modeling, and automation using ... Excel (Power Query, Power Pivot, VBA macros, complex formulas, dynamic arrays, and scenario ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... data analysis, modeling, and automation using ... Excel (Power Query, Power Pivot, VBA macros, complex formulas, dynamic arrays, and scenario ...

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... data analysis, modeling, and automation using ... Excel (Power Query, Power Pivot, VBA macros, complex formulas, dynamic arrays, and scenario ...

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Excel Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do excel data analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for excel 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 are the typical career advancement opportunities for an Excel Data Analyst?

Excel Data Analysts often have multiple pathways for career growth, including moving into senior analyst roles, specializing in business intelligence, or transitioning to data science positions. Many professionals expand their technical toolkit by learning advanced analytics platforms, programming languages (like Python or SQL), or gaining experience with data visualization software such as Power BI or Tableau. Advancement may also come through industry-specific expertise or taking on leadership and project management responsibilities. With experience, Excel Data Analysts can become invaluable team members who drive strategic business decisions and may lead analytics teams.

What is an Excel Data Analyst job?

An Excel Data Analyst is responsible for interpreting and analyzing data using Microsoft Excel to help businesses make informed decisions. They work with datasets, create reports, build dashboards, and use formulas and pivot tables to identify trends and insights. This role often involves data cleaning, visualization, and automation using Excel functions like VLOOKUP, INDEX-MATCH, and macros. Excel Data Analysts are crucial in optimizing workflows and improving data-driven decision-making within an organization.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming an Excel Data Analyst, as the role values skills in data manipulation, analysis, and tools like Excel and SQL. Many professionals transition into data analysis later in their careers by acquiring relevant certifications and experience, regardless of age.

What are the key skills and qualifications needed to thrive in the Excel Data Analyst position, and why are they important?

To thrive as an Excel Data Analyst, you need advanced Excel skills, strong analytical abilities, and attention to detail, typically supported by a background in mathematics, statistics, or a related field. Familiarity with data visualization tools, database systems, and relevant certifications such as Microsoft Excel certification are highly valued. Excellent problem-solving, communication, and time management skills enable you to interpret data effectively and present findings clearly. These skills are critical for extracting actionable insights from complex data sets and supporting data-driven decision-making processes within an organization.

What is the salary of data analyst in Excel?

The salary of an Excel Data Analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Proficiency in Excel functions, data visualization, and analytical skills are essential for this role.

Is Excel a high paying skill?

Excel data analysis skills are highly valued in many industries and can lead to higher-paying roles such as data analyst or business analyst. Proficiency in advanced functions, pivot tables, and data visualization can increase earning potential, especially when combined with certifications or experience. However, salaries vary based on location, experience, and industry.

Can I become a data analyst with Excel?

Excel is a fundamental tool for data analysts, and proficiency in it is often a core requirement for entry-level data analyst roles. However, developing skills in data visualization, database management, and statistical analysis, along with knowledge of other tools like SQL or Python, can enhance job prospects and performance in the field.
What are the most commonly searched types of Excel Data Analyst jobs in Indiana? The most popular types of Excel Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Excel Data Analyst jobs? Cities in Indiana with the most Excel Data Analyst job openings:
Infographic showing various Excel Data Analyst job openings in Indiana as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Posted 12 days ago


Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize 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.
Performa 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 visualizations 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 modeling 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 visualization 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.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.