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Data Analytics Jobs in Waukee, IA (NOW HIRING)

RSM

Data Analytics Associate

Des Moines, IA · On-site

The Data Analytics Associate develops and analyzes data requirements, integrates large data sets, and creates business intelligence frameworks to identify critical insights. They design real-time ...

State of Iowa

Data Analyst 1

Des Moines, IA · On-site

$63K - $98K/yr

Under the direction of the Research Director, this position will support data and analytics, our offender management system (OMS), and data literacy efforts across the agency. This role is critical ...

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Conduct exploratory data analysis (EDA) to identify trends and insights * Assist with data governance, quality checks, and security practices * Create documentation and present findings to ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA

$25/hr

Description 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 ...

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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All JobsData Analytics JobsData Analytics Jobs in Waukee, IA

Data Analytics information

See Waukee, IA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data analytics in Waukee, IA is $52.50, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $59.47 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 Waukee, IA?

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

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

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

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Waukee, IA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,205 per year, or $52.5 per hour.

Marketing Data Analytics

Merchants Bonding Company

West Des Moines, IA • On-site

$79K - $98K/yr

Full-time

Re-posted 9 days ago

Job description

Say Yes to the Best Career Opportunities
Merchants Bonding Company™ is hiring professionals who value clarity, collaboration, and opportunities to make an impact. Our team is growing, and we're looking for people who thrive in a fast-moving environment built on common sense underwriting and first-class experiences. If you're ready for the next step in your career with a team that says yes to the best, this is your opportunity.
Job Purpose:
The Marketing Data Analyst will build and maintain the data pipelines, integrations, and dashboards that support marketing performance and growth initiatives. This role will work across multiple platforms (CRM, marketing automation, paid media, and web analytics) to pull, combine and structure data into usable reporting and insights which includes leveraging APIs, automating data workflows, and ensuring data accuracy across systems.
In addition to building the data infrastructure, this role will monitor campaign performance, support testing efforts, and provide clear, data-driven insights to marketing and business stakeholders to help the organization understand what is working, where to optimize, and how to improve overall marketing effectiveness.
Job Responsibilities:
Data Integration and Pipeline Development
  • Build and maintain data pipelines that pull from platforms such as Salesforce, Marketo, Google Analytics, LinkedIn, and paid media channels
  • Implement API integrations and use scripting (Python, SQL, or similar) to automate data collection, transformation, and reporting
  • Combine multiple data sources into clean, reliable datasets for analysis and reporting
  • Monitor data quality and resolve discrepancies across systems

Dashboards and Performance Reporting
  • Develop and maintain dashboards that track marketing performance across channels
  • Ensure stakeholders have access to accurate, up-to-date reporting
  • Track and report on key metrics such as ROI, CPA, conversion rates, and campaign performance
  • Identify trends, anomalies, and performance gaps through ongoing monitoring

Insights and Business Support
  • Translate data into clear, actionable insights for marketing and business stakeholders
  • Partner with marketing team members to define reporting needs and success metrics
  • Deliver ad hoc analysis and data insights to support business decisions
  • Help standardize reporting and measurement practices

Testing and Optimization
  • Implement A/B and multivariate testing frameworks, including tracking and measurement
  • Analyze results and provide clear recommendations for optimization
  • Implement and contribute to a structured "test and learn" approach to improve performance over time

Education and Skills
  • Experience working with Python, SQL, or a similar language to pull, manipulate, and analyze data
  • Experience working with APIs and integrating data from marketing platforms (Google, LinkedIn, CRM systems such as Salesforce or Marketo)
  • Experience building and maintaining dashboards using tools such as Power BI, Looker Studio, or QuickSight
  • Strong understanding of marketing performance metrics (ROI, CPA, conversion rates, CTR)
  • Experience automating data pipelines and reporting workflows
  • Familiarity with A/B and multivariate testing and measurement
  • General understanding of digital marketing channels (SEO, SEM, paid media, email)
  • Minimum 3 years experience in marketing analytics, data analytics, or related field.

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