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Data Analytics Jobs in Des Moines, IA (NOW HIRING)

Holmes Murphy

Data & Reporting Analyst

West Des Moines, IA · On-site

$60 - $85/hr

Bachelor's degree in data Analytics, Statistics, Mathematics, Computer Science or related field.* Experience: 2-3 years of relevant experience in data analysis. Experience in insurance, healthcare, ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Feed Energy is seeking a motivated and curious AI & Data Intern to join our IT team. This role provides hands-on experience working with data, analytics, and emerging AI technologies to support ...

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Data Analytics information

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$23

$53

$92

How much do data analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analytics in Des Moines, IA is $53.43, according to ZipRecruiter salary data. Most workers in this role earn between $42.93 and $60.53 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Des Moines, IA?

The most popular types of Data Analytics jobs in Des Moines, IA are:

What are popular job titles related to Data Analytics jobs in Des Moines, IA?

For Data Analytics jobs in Des Moines, IA, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Des Moines, IA look for?

The top searched job categories for Data Analytics jobs in Des Moines, IA are:

What cities near Des Moines, IA are hiring for Data Analytics jobs?

Cities near Des Moines, IA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Des Moines, IA as of August 2026, with employment types broken down into 4% Internship, 68% Full Time, and 28% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $111,131 per year, or $53.4 per hour.

Director, Data Analytics & Insights

GreatAmerica Financial Services

Des Moines, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Key responsibilities

  • Lead the development and execution of enterprise data and analytics strategy aligned with business priorities.

  • Own the creation and maintenance of executive dashboards, KPIs, and insights to inform decision-making and communicate enterprise performance.

  • Partner with stakeholders across functions to deliver data products, establish data governance practices, and support a data-driven culture.

Job description

GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth.

We are looking to add a key member to our Data Team!

The Director, Data,Analyticsand Insightsis responsible forleading data and analytics strategy for enterprise analytics and customer insights that drivethe futureperformanceof our businessand are enabled through scalable data capabilities. This role owns the strategy to deliver data, analytics, and insights to key stakeholders, including high-quality insights and key decision support, as well as the analysis of tradeoffs. Additionally, this leader partners with key stakeholders to deliver modern data products andestablisha strong data-driven culture across the organization. In partnership with Technology, this role ensures data assets, reporting, and analytic solutions are aligned with evolving enterprise priorities and plays a key role in leading and supporting the efforts of our Product teams.

As the Director, Data Analytics & Insights, you will:

Strategy & Business Impact

  • Defines and executes an enterprise data & analytics strategy aligned to business priorities

  • Leads and partners with executive leadership and key stakeholders to identify and prioritize high-value data and analytics initiatives across the enterprise, balancing requests from Product and non-Product teams, and partnering closely with the SVP of Operations to align efforts with product strategy, customer impact, and overall business priorities for growth, efficiency, and risk management.

  • Establishes and evolves the operating model for enterprise analytics, including intake, prioritization, governance, and capacity planning, to ensure resources are aligned to the highest-value business opportunities.

  • Develops a deep understanding of our customers and how our businessoperatesto ensure data and analytics efforts are aligned with real-world needs, operational drivers, and opportunities to enhance customer experience and performance.

  • Builds strong partnerships across Product, Operations, Technology, Finance, Risk, Legal, Compliance, and other key functions to align analytics priorities, data practices, and decision support with enterprise needs.

  • Establishes success metrics (adoption, business impact, decision velocity) and drives measurable outcomes from analytics investments

Enterprise Analytics

  • Own,Develop andmaintainexecutive dashboards and KPIs that provide clear visibility into enterprise performance (e.g., enterprise activity dashboard, ROA analysis).Suggest actions and outcomes based on results.

  • Identifytrends, patterns, and emerging risks to inform proactive decision-making.

  • Synthesize and communicate the enterprise performance story to executive leadership.

  • Translates complex data into clear executive narratives, recommendations, and decision support for senior leadership and board-level discussions.

  • Define and track metrics to measure the outcomes andimpactof strategic initiatives.

Customer Insights

  • Lead customer segmentation to better understand distinct customer groups and value drivers.

  • Develop and refine customer lifetime value models to inform growth and investment decisions.

  • Analyze customer behavior to uncover insights that drive engagement, retention, andability to sell multiple products.

  • Partner with Sales and Operations onVoice of the Customer programsto translate themes/data to outcomes that drive incremental value to our customers.

  • Deliver retention and growth analytics toidentifyopportunities to improve customer loyalty and expand relationships.

Data Products & Insights Delivery

  • Champions scalable self-service analytics capabilities, design standards, and data literacy efforts that enable leaders and teams to confidently use data in day-to-day decision-making.

  • Partners with advanced analytics and data science teams to operationalize insights and integrate predictive capabilities into business processes

  • Ensures consistent definitions, metrics governance, and trusted data sources across the enterprise

Data Governance

  • Partners across business and technology teams to strengthen enterprise data governance practices, including stewardship, data quality, metadata, lineage, access controls, and consistent use of trusted data assets.

  • Applies enterprise data definitions and governance standards

  • Partners with Data Governance to ensure data quality and consistency

  • Leverages governed data assets to deliver insights

People Leadership & Talent Strategy

  • Leads, develops, and scales a high-performing analytics organization (BI, analysts, and potentially data product roles)

  • Establishes role clarity, career paths, and capability models across analytics disciplines

  • Oversees hiring, performance management, and succession planning for the function

  • Builds enterprise data literacy through structured enablement and training programs

To be successful in the role, you will need:

Education

  • Bachelor's degree in BusinessAnalytics, Finance, Math, Information Systems, Statistics, or relevant field

Experience

  • 8+ years of experience in data, analytics, or business intelligence roles

  • 5+ years of experience leading teams or enterprise-level initiatives

  • Experience defining and executing data & analytics strategies at scale

  • Experience partnering with senior business leaders and driving cross-functional outcomes

  • Experience working in an agile or product-based delivery model preferred

  • Experiencewith modern BI and analytics platforms (e.g., Tableau, Power BI, etc.)

  • Workingknowledge of data querying and data models (SQL or equivalent)

  • Familiarity with data architecture concepts, pipelines, and analytics ecosystems


Skills and Abilities

  • Experience working within modern cloud-based data and analytics ecosystems and partnering with technology teams on scalable data platform capabilities preferred.

  • Strong business acumen with ability to translate data into actionable insights

  • Ability to balance strategic leadership with operational execution

  • Strong prioritization and decision-making skills

  • Extensive experience with data visualization tools such as Tableau, QlikView, PowerBIetc.

  • Experience with Microsoft SQL and ability toacquiredata sets via moderately complex queries

  • High levelofproficiencywith Microsoft Office suite

  • Experience with reporting capabilities withinSalesForcea plus

  • Strong business acumen with the desire to understand the core drivers of business behaviors

  • Sense of accountability for thetimelydelivery ofhigh quality, consistentinformation visualizationat the enterprise level

  • Accountability for delivering measurable business value from analytics investments

  • Ability tooperatein a fast-paced, evolving environment while driving organizational change

Sharing rewards is an integral part of our culture. We believe in the value of hard work and reward our employees beyond the paycheck. Our total rewards package is based on eligibility and includes:

Financial Benefits

  • Competitive Compensation
  • Monthly Bonuses for Eligible Employees
  • 401(k) and Company Match
  • Annual Profit Sharing
  • Paid Time Off

Health, Wellbeing, and Family Planning Benefits

  • Paid Vacation - starting at 80 hours annually for employees in their first year of service.
  • Paid Sick Days - Ten (10) per year with a conversion option for unused time.
  • Ten (10) Paid Holidays per year
  • Gym Reimbursement
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Short-Term and Long Term Disability
  • Company Paid Life Insurance
  • Flexible Spending Accounts (FSA)
  • Health Savings Accounts (HSA)
  • Employee Assistance Program
  • Parental Leave

Education and Career Planning Benefits

  • Tuition Assistance
  • Networking Opportunities
  • Leadership Development Opportunities

Perks

  • Paid Parking
  • Service Awards
  • Hybrid work arrangements
  • Business casual environment
  • A strong organizational culture focused on our greatest asset: you!

If your experience aligns closely, please apply. We value diverse backgrounds and adding new perspectives. We encourage you to apply if you can make a strong impact in this role at www.greatamerica.com/careers.

Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

Apply