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Predictive Analytics Jobs in Iowa (NOW HIRING)

ClifyX

Prinicipal AI Engineer

West Des Moines, IA · On-site

... predictive analytics, and automation. • Design and optimize LLM-powered systems, including RAG pipelines, fine-tuned models, and enterprise AI assistants. • Develop reusable AI frameworks ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA

$25/hr

Assisting with predictive analytics projects * Testing and validating AI solutions * Help design and document data pipelines and workflows * Conduct exploratory data analysis (EDA) to identify trends ...

Feed Energy

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Assisting with predictive analytics projects * Testing and validating AI solutions * Help design and document data pipelines and workflows * Conduct exploratory data analysis (EDA) to identify trends ...

Riverhead Resources

AI & Data Intern

Pleasant Hill, IA · On-site

$25/hr

Assisting with predictive analytics projects * Testing and validating AI solutions * Help design and document data pipelines and workflows * Conduct exploratory data analysis (EDA) to identify trends ...

US Corp2Corp

Analytics Consultant

Iowa City, IA

Analytics Consultant Location: 100% Remote Duration: 18 to 24 months Client: Wells Fargo ONLY ON W2 ... predictive models Tableau Qualifications 100% REMOTE POSITION Additional Information All your ...

Transamerica

Lead Business Systems Analyst

Cedar Rapids, IA · On-site

$106K - $139K/yr

Lead with an AI-first mindset to identify opportunities where artificial intelligence, automation, predictive analytics, and intelligent workflows can enhance Finance, Treasury, Tax, Cash Management ...

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All JobsPredictive Analytics JobsPredictive Analytics Jobs in Iowa

Predictive Analytics information

See Iowa salary details

$25.4K

$105.9K

$188.3K

How much do predictive analytics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for predictive analytics in Iowa is $105,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $115,500.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Iowa?

The most popular types of Predictive Analytics jobs in Iowa are:

What are popular job titles related to Predictive Analytics jobs in Iowa?

For Predictive Analytics jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Iowa look for?

The top searched job categories for Predictive Analytics jobs in Iowa are:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Iowa as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $105,876 per year, or $50.9 per hour.

Director of Data, Analytics + Market Research

Meyocks

West Des Moines, IA • On-site

$106K - $198K/yr

Full-time

Posted 6 days ago

Job description

Lead Where Data Meets Insight
We're looking for a leader who can bring depth in either data & analytics or market research - not necessarily a unicorn who's equally elite at both. If you're a sharp analytics mind who can hold your own in a research conversation, or a seasoned researcher who's comfortable navigating dashboards and data infrastructure, we want to talk. What matters most is the ability to connect the dots between the two disciplines, lead a team that spans both, and translate their combined output into insights that move client marketing forward. You'll strengthen how data and research work together at Meyocks - building on a strong collaborative foundation and helping the team deliver more integrated client insights.
Summary
The Director of Data & Analytics is a member of the Digital Delivery team at Meyocks, leading a small multidisciplinary team of marketing analysts and marketing researchers. This hands-on leadership role combines team development and strategic oversight with direct contribution to client work across marketing analytics, research, advanced analytics and performance insights.
The ideal candidate brings leadership experience, with deep expertise in either marketing analytics or marketing research and working fluency across both disciplines. You will collaborate with account service, paid media, web development, creative, and leadership teams to turn data and research into insights that improve marketing strategy, execution and business outcomes.
Success in this role requires intellectual curiosity, strong technical and analytical judgement and an AI-forward, experimentation-oriented mindset. The Director will actively explore emerging technologies, experiment with new approaches, and help the team responsibly apply AI, automation, and advanced analytics to improve the quality, speed, and impact of its work.
Key Responsibilities:
  • Data Analysis & Insights
    • Analyzing marketing performance, survey, customer, and market data to assess effectiveness, identify trends, and inform strategic decisions
    • Translating complex data into visually compelling, actionable insights and presenting findings to internal teams and clients.
  • Data Infrastructure & Technology Oversight
    • Overseeing the MarTech and data stack, including pipelines, APIs, ELT tools, and Snowflake data warehouse.
    • Establishing and maintaining standards for data structure, naming conventions, warehouse organization, SQL development, and data transformation to improve scalability, consistency, and reporting efficiency.
    • Guiding and contributing to development of reporting dashboards (Tableau) to deliver actionable insights for internal teams and client stakeholders.
  • Advanced Analytics & Research
    • Leading the development of advanced analytics solutions, including predictive modeling, segmentation, regression analysis, and factor analysis to solve business challenges.
    • Leading and supporting the primary research function, setting methodology standards and reviewing research design to ensure findings are translated into clear, actionable recommendations for clients and internal teams.
    • Identifying and leading opportunities to combine research, performance data, advanced analytics, and emerging AI capabilities to develop new approaches to client marketing challenges.
  • Team Mentorship & Development
    • Leading, mentoring, and developing the data analytics and research team, establishing clear expectations and maintaining high standards for execution.
    • Establishing and refining workflows, best practices, training, and development opportunities that improve team capabilities and efficiency.
    • Managing individual and team performance through regular coaching, goal-setting, feedback, and performance evaluations.
    • Contributing to agency thought leadership and industry visibility as appropriate
  • Additional responsibilities and supporting tasks as needed.

Required Skills/Abilities:
  • Strong technical fluency in SQL and working knowledge of Python and/or R, with the ability to guide team members across data modeling, querying, automation, and analytical workflows.
  • Experience with modern marketing data and business intelligence ecosystems, including platforms such as Tableau, Google Analytics, paid media platforms, CRM systems, APIs, ELT/ETL tools, and cloud data warehouses such as Snowflake.
  • Strong ability to interpret, synthesize, and communicate complex data and research findings as clear, strategic, and actionable recommendations for clients and internal teams.
  • Strong knowledge of marketing research methodologies, including survey design, sampling, qualitative and quantitative approaches, segmentation, and research interpretation.
  • Working knowledge of statistical and advanced analytics methods, including hypothesis testing, experimental design, predictive analytics, segmentation modeling, and machine learning concepts.
  • Experience leading multidisciplinary teams across data, analytics, and research, with the ability to align technical execution with marketing and business objectives.
  • Working knowledge of data privacy, governance, and responsible data practices, including relevant regulations such as GDPR, CCPA and HIPAA.
  • Demonstrated curiosity and practical experience applying AI, automation, or emerging analytical technologies, with the judgment to evaluate their appropriate use, limitations, and business value
  • Strong judgment and attention to detail, with accountability for the accuracy, integrity, confidentiality, and quality of data, research, and insights delivered to stakeholders.

Education and Experience:
  • Bachelor's degree in marketing, data analytics, statistics, business, or a related field.
  • 10+ years of professional experience in data analysis, marketing analytics, or market research, with at least 3 years of leadership experience.
  • Agency experience preferred.

Other Requirements:
  • Occasional travel will be required for client meetings, conferences, professional training, or team collaboration sessions.
  • Availability for occasional after-hours work to meet deadlines or accommodate client needs.

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