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Financial Data Analyst Jobs in Indiana (NOW HIRING)

Sr Business Data Analyst

Whiteland, IN · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Finance, etc.) with customized analytical solutions to meet evolving business needs * Serve as a ...

Senior Financial Analyst

Indianapolis, IN · On-site

$81K - $101K/yr

Support SAP-related accounting processes, system testing, financial data validation, and troubleshooting of business transactions * Support analysis, accruals, and reporting related to renewable ...

... financial data, maintains accounting records in accordance with generally accepted accounting ... analysis. Performs other duties as assigned. Minimum Job Requirements * A high school diploma or ...

... financial data, maintains accounting records in accordance with generally accepted accounting ... analysis. Performs other duties as assigned. Minimum Job Requirements * A high school diploma or ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... You'll collaborate with actuaries, finance leaders, and business stakeholders to enhance decision ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... You'll collaborate with actuaries, finance leaders, and business stakeholders to enhance decision ...

Showing results 41-60

Financial Data Analyst information

See Indiana salary details

$33.3K

$81.3K

$135.1K

How much do financial data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for financial data analyst in Indiana is $81,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $95,600.00 per year, depending on experience, location, and employer.

What is a financial data analyst?

Financial Data Analysts are professionals who collect, process, and analyze financial data to help organizations make informed business decisions. They use statistical tools and financial modeling techniques to interpret data, identify trends, and forecast future financial performance. Their work supports budgeting, investment strategies, risk assessment, and overall financial planning. Financial Data Analysts often collaborate with other departments to provide insights that drive business growth and efficiency.

What does a financial data analyst do?

Financial data analysts examine financial records and prepare comprehensive reports for their company. These reports are used to identify the current direction of production and help managers forecast future trends. As a financial data analyst, your job duties include compiling data from the market and various departments within the company, analyze the information, and create reports for upper management. The qualifications to pursue a career as a financial data analyst include a bachelor’s degree in finance, economics, accounting, or a related field and industry experience.

Is it difficult to become a financial data analyst?

Becoming a financial data analyst typically requires a strong foundation in finance, accounting, or related fields, along with skills in data analysis tools like Excel, SQL, or Python. Gaining relevant experience and certifications such as CFA or CFA Level I can also enhance job prospects, but the difficulty varies based on individual background and effort.

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

To thrive as a Financial Data Analyst, you need strong analytical skills, a solid understanding of finance and accounting principles, and a bachelor's degree in finance, economics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are often expected. Attention to detail, problem-solving abilities, and clear communication skills set exceptional analysts apart in interpreting and presenting complex data. These skills are vital for delivering accurate financial insights that inform business decisions and drive organizational success.

What are some common challenges financial data analysts face when communicating their findings to non-technical stakeholders?

Financial Data Analysts often encounter the challenge of translating complex quantitative data and statistical analyses into clear, actionable insights for non-technical stakeholders. This requires not only a deep understanding of financial concepts but also strong communication skills to present data visually and narratively. Bridging this gap can involve tailoring presentations, using data visualization tools, and focusing on the business implications of the analysis rather than technical details. Effective collaboration with cross-functional teams, such as finance, operations, and management, is key to ensuring that data-driven recommendations are understood and implemented.
What are the most commonly searched types of Financial Data Analyst jobs in Indiana? The most popular types of Financial Data Analyst jobs in Indiana are:
What are popular job titles related to Financial Data Analyst jobs in Indiana? For Financial Data Analyst jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Financial Data Analyst jobs? Cities in Indiana with the most Financial Data Analyst job openings:
What are popular job titles related to Financial Data Analyst jobs in IN? For Financial Data Analyst jobs in IN, the most frequently searched job titles are:
Infographic showing various Financial Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $81,320 per year, or $39.1 per hour.

Sr Business Data Analyst

DPDHL

Whiteland, IN • On-site

$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