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Data Analysis Manager Jobs in Iowa (NOW HIRING)

... analysis, with exposure to data modeling. Exposure to data modeling, statistical methods, and machine learning techniques. * Experience managing semantic models, dataflows, and supporting ELT ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

... Management Information Systems, or related field; or equivalent combination of education and experience. Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with ...

... Management Information Systems, or related field; or equivalent combination of education and experience. Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with ...

Data & Marketing Analyst

Sioux City, IA ยท On-site

$85K - $106K/yr

Own and oversee data integrity between core banking systems and the CRM platform (HubSpot ... Evaluate marketing and sales performance, providing insights through campaign analysis, market ...

Data & Marketing Analyst

Sioux City, IA

$85K - $106K/yr

Own and oversee data integrity between core banking systems and the CRM platform (HubSpot ... Evaluate marketing and sales performance, providing insights through campaign analysis, market ...

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Data Analysis Manager information

See Iowa salary details

$21.1K

$83.3K

$135.3K

How much do data analysis manager jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data analysis manager in Iowa is $83,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $101,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analysis Manager, and why are they important?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

What does a data analyst manager do?

A data analysis manager oversees data teams to collect, analyze, and interpret data to support business decisions. They develop strategies, ensure data quality, and communicate insights to stakeholders, often using tools like SQL, Excel, and data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

How does a Data Analysis Manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a Data Analysis Manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but Data Analysis Managers and analysts remain essential for interpreting complex data, making strategic decisions, and ensuring data quality. AI enhances productivity and supports decision-making, but human expertise is still critical for nuanced analysis and business insights.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

Is 40 too late for data science?

For a Data Analysis Manager, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, regardless of age. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and adaptability.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around $50,000 annually, while experienced analysts or those with specialized skills like SQL or Python can earn over $80,000 or more per year.
What are the most commonly searched types of Data Analysis jobs in Iowa? The most popular types of Data Analysis jobs in Iowa are:
What are popular job titles related to Data Analysis Manager jobs in Iowa? For Data Analysis Manager jobs in Iowa, the most frequently searched job titles are:
Infographic showing various Data Analysis Manager job openings in Iowa as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $83,279 per year, or $40 per hour.
Data Analysis and Reporting Manager

Data Analysis and Reporting Manager

Practical Farmers of Iowa

Ames, IA โ€ข On-site, Remote

Other

Medical, Retirement, PTO

Posted 6 days ago


Job description

Description

Practical Farmers of Iowa is Hiring a Data Analysis and Reporting Managerย 


About PFIย 

Practical Farmers of Iowa is a nonprofit organization that has worked to equip farmers to build resilient farms and communities since 1985. We create learning opportunities via farmer-led events, on-farm research and educational content through our robust network of farmers. We also provide funding and technical assistance to help farmers adopt regenerative farming practices and grow farm businesses. Our vision is an Iowa with healthy soil, healthy food, clean air, clean water, resilient farms and vibrant communities.ย 


This work has always been rooted in our value of welcoming everyone and creating a culture of mutual respect. We believe that a diversity of people, ideas and perspectives strengthens our ability to find creative solutions, enriches our understanding and broadens our impact. At Practical Farmers, we celebrate this diversity and are committed to ensuring that our policies and practices create an equitable and inclusive workplace. We take equal opportunity seriously and seek to empower and support all applicants and teammates.ย ย 


Practical Farmers offers a flexible, supportive and fast-paced work environment. Professional development is a core part of our culture and team members are encouraged to take independent initiative to help fulfill our mission.ย ย 


About the Positionย 

The data analysis and reporting manager will lead the development and implementation of systems that transform farm-level production and geospatial data into trusted sustainability outcomes. This position sits within Practical Farmers' farm viability department and plays a critical role in supporting farmer participation in emerging environmental markets and sustainability initiatives.ย 


The data analysis and reporting manager will oversee data collection, stewardship, quality assurance, modeling and reporting processes that support greenhouse gas accounting, sustainability reporting and program evaluation. Working across agronomy, data, science and external partner teams, this role will ensure data integrity, audit readiness and continuous improvement of Practical Farmers' monitoring and reporting systems.ย 


The ideal candidate combines expertise in agricultural production systems, data management, geospatial information and sustainability analytics with strong project management and communication skills. They will help build scalable systems that enable Practical Farmers to deliver credible, science-based outcomes for farmers, supply chain partners and other stakeholders while advancing PFI's mission of supporting resilient farms and communities.ย 


Dutiesย 

  • Manage data stewardship and reporting projects.ย 
  • Working with PFI staff and contractors, manage the collection of farm production data (inputs, yields, practices, management systems). ย 
  • Oversee geospatial data ingestion (geospatial information systems layers, field boundaries, remote sensing inputs),?including supervising contractors. ย 
  • Coordinate data pipelines across agronomy, field teams and external partners. ย ย 
  • Ensure consistency, completeness and traceability of all monitoring, reporting and verification input datasets. ย ย 
  • Analyze data stewardship and reporting data and report results.ย 
  • Run and manage outputs using tools such as Fieldprint-style calculators and carbon modeling platforms like Roth C or other models using R-code or other packages. ย 
  • Translate agronomic and geospatial data into greenhouse gas estimates and sustainability metrics. ย ย 
  • Support Scope 1, 2 and 3 inventory development through structured data inputs. ย ย 
  • Collaborate with sustainability and science teams to refine emission factors and methodologies. ย ย 
  • Design and implement processes to ensure consistency and efficiency of data stewardship and reporting subdepartment.ย 
  • Maintain monitoring, reporting and verification data systems for audit readiness and third-party verification. ย ย 
  • Support development of an annual greenhouse gas inventory and science-based targets for initiative tracking requirements.ย 
  • Ensure documentation of methodologies, assumptions and data lineage. ย ย 
  • Strengthen quality assurance and quality control protocols across all monitoring, reporting and verification datasets.ย 
  • Facilitate collaboration between departments and teams to achieve data stewardship and reporting project goals. ย 
  • Work closely with data architecture and engineering teams to optimize data flows. ย ย 
  • Support integration of geospatial information systems (e.g., ESRI), databases and reporting tools. ย 
  • Contribute to the development of a centralized emissions and sustainability data warehouse.ย 
  • Improve automation between field data capture, modeling tools and reporting outputs. ย ย 
  • Partner with agronomy teams to interpret field practices into data models. ย 
  • Develop and manage partnerships related to data stewardship and reporting that leverage both organizations' work toward PFI's goals. ย 
  • Collaborate with sustainability reporting teams on disclosures and frameworks (Greenhouse Gas Protocol, Task Force on Climate-Related Financial Disclosures, etc.). ย ย 
  • Support supplier engagement efforts to improve upstream data quality and emissions factors.ย 
  • Provide analytical support for lifecycle assessments and scenario modeling. ย 
  • Other duties as assigned or volunteered to support department or team projects.ย 


Required Qualifications and Characteristicsย 

  • A master's degree in a science fieldย ย 
  • Experience with measurement, reporting and verification systems and audit requirementsย 
  • Familiarity with agricultural production systems and farm management practices (inputs, yields, soil practices, etc.)ย 
  • Knowledge of geospatial data systems (GIS concepts, field boundaries, remote sensing basics)
  • Understanding of data governance, quality assurance and quality control standards and traceability requirements for reporting
  • Experience building and managing structured datasets combining farm production and geospatial dataย 
  • An ability to analyze large, complex datasets and translate them into emissions and sustainability metrics ย ย 
  • Experience working with data tools such as Excel, structured query language, Power BI and geospatial information systems platforms (e.g., ESRI)
  • The ability to collaborate to design and improve data workflows and reporting pipelines across teams
  • Familiarity with conducting quality assurance and quality control on emissions inventories to ensure audit readiness
  • The ability to communicate technical data clearly to agronomy, sustainability and leadership teams
  • Strong interpersonal communication skills (written and verbal)
  • An ability to connect field-level agricultural data to enterprise emissions reporting systems
  • An ability to interpret incomplete or imperfect datasets and still produce reliable outputs
  • The ability to maintain high attention to detail in high-stakes reporting environments
  • Skill identifying gaps in data systems and proactively designing improvementsย 
  • The ability to prioritize multiple reporting cycles, deadlines and stakeholder needs simultaneously

Desired Qualifications and Characteristicsย 

  • A doctorate in a science fieldย ย 
  • Experience with the Greenhouse Gas Protocol (Scopes 1, 2 and 3) and agricultural emissions accounting
  • Knowledge of lifecycle assessment (LCA) principles and carbon accounting methodologiesย 
  • Experience with sustainability disclosure frameworks (science-based targets initiative, carbon disclosure project, international sustainability standards board, international organization for standardization standards)ย 
  • Experience operating or coordinating emissions modeling tools (e.g.,Fieldprint-style calculators, lifetime cycle assessment tools)ย 
  • Experience collaborating with data engineers and architects to improve system integration and automationย 
  • The ability to manage cross-functional coordination across agronomy, data and sustainability teamsย 
  • The ability to translate technical monitoring, reporting and verification outputs into business insights and decisions


This is a full-time position with potential for hybrid work. There is a minimum requirement of one day per month at the Ames, Iowa, office and seasonal travel around Iowa and surrounding states. The beginning salary range for this position is $58,000-$62,000 with annual opportunity for salary increases and position advancement.ย ย 


PFI values its employees and is a flexible and supportive work environment. We offer employees a competitive benefits package that includes employee health insurance with 100% employer-paid premium, generous paid time off, flexible hours, six weeks of fully paid parental leave and 5% automatic 401k contribution after one year of employment.ย ย 


We also encourage employee professional development and offer a range of specialty benefits employees can use to support their wellness, sustainability and financial goals. Examples of our specialty benefits include contributions towards spouse or dependent health insurance, stipends for remote workers and reimbursements for fitness costs, CSA subscriptions, student loans or eco-friendly purchases. Practical Farmers is a family-friendly employer.ย ย ย 


Please apply by completing an application (including contact information, cover letter, resume and references). Applications will be reviewed on a rolling basis.ย