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Data Analyst Finance Jobs in Iowa (NOW HIRING)

BA/BS with 2+ years of experience in IT, finance, accounting, or analytics, or relevant work experience * Proficiency in MS Excel with 1+ years of experience working with large data sets * Strong ...

BA/BS with 2+ years of experience in IT, finance, accounting, or analytics, or relevant work experience * Proficiency in MS Excel with 1+ years of experience working with large data sets * Strong ...

BA/BS with 2+ years of experience in IT, finance, accounting, or analytics, or relevant work experience * Proficiency in MS Excel with 1+ years of experience working with large data sets * Strong ...

Industry knowledge in insurance or financial services preferred. Skills: * Advanced proficiency in ... Mental Demands: Ability to analyze complex business and data scenarios with limited direction.

Industry knowledge in insurance or financial services preferred. Skills: * Advanced proficiency in ... Mental Demands: Ability to analyze complex business and data scenarios with limited direction.

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business Analytics, Finance, or a related field Experience working with relational databases and data warehousing concepts ...

New

Sr Data Analyst

Ankeny, IA · On-site +1

$80K - $101K/yr

The Senior Data Analyst turns complex data into clear, actionable insights that drive business ... Statistical and financial analytics expertise, including analysis design, interpretation of results ...

Sr Data Analyst

Ankeny, IA · Remote

$80K - $101K/yr

The Senior Data Analyst turns complex data into clear, actionable insights that drive business ... Statistical and financial analytics expertise, including analysis design, interpretation of results ...

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Data Analyst Finance information

Can I get a data analyst job with a finance degree?

A finance degree can qualify you for a data analyst position in finance or related fields, especially if you develop skills in data analysis tools like Excel, SQL, or Python. Employers often value relevant coursework, internships, and certifications such as CFA or data analysis certifications alongside your degree.

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

To thrive as a Data Analyst in Finance, you need strong analytical skills, a solid understanding of financial concepts, and proficiency in data interpretation, typically supported by a degree in finance, statistics, or a related field. Familiarity with tools such as Excel, SQL, and data visualization software like Tableau or Power BI, as well as knowledge of financial modeling and relevant certifications (e.g., CFA, FRM), is highly valuable. Attention to detail, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights for stakeholders. These abilities ensure accurate financial analysis, support strategic decision-making, and enhance organizational performance in a data-driven financial environment.

Can a data analyst work in finance?

Yes, a data analyst can work in finance by analyzing financial data, creating reports, and supporting decision-making processes. Skills in Excel, SQL, and data visualization tools are commonly used in finance roles for data analysis tasks.

How does a data analyst in finance typically collaborate with other departments within an organization?

A Data Analyst in Finance often works closely with teams such as accounting, operations, and business strategy to gather relevant data and provide insights that influence key financial decisions. Collaboration may include participating in cross-functional meetings to understand data needs, sharing financial reports with stakeholders, and supporting budgeting or forecasting processes. Effective communication is essential, as data analysts must translate complex data findings into actionable recommendations for both technical and non-technical colleagues. This collaborative environment helps ensure that financial strategies are data-driven and aligned with organizational goals.

What is the difference between Data Analyst Finance vs Financial Analyst?

AspectData Analyst FinanceFinancial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, data visualization toolsBachelor's in Finance, Economics, or related; often CFA or CPA certifications
Work EnvironmentFinancial institutions, corporate finance departments, investment firmsBanking, investment firms, corporate finance, consulting
Primary FocusAnalyzing financial data, creating reports, supporting decision-makingForecasting, valuation, investment analysis, financial planning

While both roles analyze financial data, Data Analyst Finance primarily focuses on data collection, visualization, and supporting operational decisions. Financial Analysts often engage in forecasting, valuation, and investment strategies. The roles overlap in skills and industry settings but differ in scope and specific responsibilities.

What does a data analyst in finance do?

A Data Analyst in Finance collects, processes, and analyzes financial data to help organizations make informed business decisions. They work with large datasets to identify trends, forecast financial outcomes, and create reports or dashboards for stakeholders. Their responsibilities often include cleaning data, performing statistical analysis, and visualizing results to support budgeting, investment strategies, and risk management. They play a key role in ensuring financial data accuracy and providing actionable insights that drive company performance.
What are popular job titles related to Data Analyst Finance jobs in Iowa? For Data Analyst Finance jobs in Iowa, the most frequently searched job titles are:
Infographic showing various Data Analyst Finance job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Posted 23 days ago


Job description

Description

This position is onsite in Des Moines, Iowa. This position is not eligible for sponsorship. 


Position Summary: 

The Data Analyst is responsible for developing, maintaining, and delivering reporting and data visualization solutions that support organizational operations and decision-making. This role works across departments to gather requirements, ensure data accuracy, and provide clear, actionable insights through dashboards and reports.

While positioned within the Finance department, this role primarily supports enterprise-wide reporting needs rather than direct financial analysis.


Key Responsibilities:

  • Design, develop, and maintain dashboards and reports using Power BI 
  • Write, optimize, and maintain SQL queries to extract and transform data from multiple systems 
  • Utilize Microsoft Access and Excel to support data analysis and reporting requirements 
  • Partner with operational, clinical, administrative, and leadership teams to gather reporting requirements 
  • Develop and maintain data models to support consistent and scalable reporting 
  • Produce standard and ad hoc reports to support business operations 
  • Ensure the accuracy, integrity, and consistency of data across systems and reports 
  • Translate complex data into clear, actionable insights and visualizations for non-technical users 
  • Identify opportunities to automate and improve reporting processes 
  • Document data sources, definitions, and reporting logic 
  • Support data governance and standardization efforts across the organization





Requirements

  Requirements:  

  • Bachelor's degree in Data Analytics, Information Systems, Business, or a related field
  • 2-4 years of experience in data analysis, reporting, or a related field

Advanced proficiency in: 

  • Power BI (dashboard development and visualization)
  • SQL (data querying and manipulation)
  • Microsoft Access and Excel
  • Experience working with large, complex datasets from multiple systems 
  • Strong understanding of data structures, reporting design, and data quality best practices
  • Strong analytical and problem-solving skills 
  • High attention to detail and commitment to data accuracy 
  • Ability to translate business needs into technical solutions 
  • Ability to communicate data insights clearly to non-technical audiences 
  • Strong organizational and time management skills 
  • Ability to work independently and collaboratively across teams

Physical Requirements: 

  • Must be able to remain in a stationary position for extended periods 
  • Frequent use of computer, keyboard, and visual displays

Working Conditions: Normal office environment. Non-standard or extended work may be required based on business unit needs. Some travel may be required. 

ADA:  The above statements cover what are generally believed to be principal and essential functions of this job.  Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.