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Manager Data Analyst Government Jobs in Iowa (NOW HIRING)

Gathers and defines reporting and data requirements in collaboration with managers and operational ... Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy.

Gathers and defines reporting and data requirements in collaboration with managers and operational ... Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy.

Gathers and defines reporting and data requirements in collaboration with managers and operational ... Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy.

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

Collaborate with research and data science teams to perform exploratory data analytics, identifying ... Familiarity with data visualization, management, and storage tools are a plus Our Culture ...

The equipment we make manages natural resources, connects people and feeds and fuels communities ... We're looking for a person that can wrangle data, apply statistical analysis, and create dynamic ...

Possess strong analytical, problem solving, and decision-making skills * Excellent oral and written ... Familiarity with data visualization, management, and storage tools are a plus Our Culture ...

Possess strong analytical, problem solving, and decision-making skills * Excellent oral and written ... Familiarity with data visualization, management, and storage tools are a plus Our Culture ...

Possess strong analytical, problem solving, and decision-making skills * Excellent oral and written ... Familiarity with data visualization, management, and storage tools are a plus Our Culture ...

Possess strong analytical, problem solving, and decision-making skills * Excellent oral and written ... Familiarity with data visualization, management, and storage tools are a plus Our Culture ...

Our goal is to make sure our customers have adequate tools to successfully manage their financial ... As a Data Solutions Analyst, you will collaborate with cross-functional teams to assess, analyze ...

Our goal is to make sure our customers have adequate tools to successfully manage their financial ... As a Data Solutions Analyst, you will collaborate with cross-functional teams to assess, analyze ...

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Manager Data Analyst Government information

What does a manager data analyst do in government?

A Manager Data Analyst in government oversees teams that collect, analyze, and interpret data to inform public policy and improve government services. They ensure data quality, develop analytical strategies, and present findings to decision-makers. Their role often includes coordinating with other departments, ensuring compliance with data regulations, and using data-driven insights to address public needs and improve efficiency. They may also be responsible for mentoring junior analysts and implementing data management best practices.

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

To thrive as a Manager Data Analyst in government, you need expertise in data analysis, statistics, and public policy, typically supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages (like SQL, R, or Python), and government data systems is essential. Strong leadership, communication, and problem-solving skills help manage teams and effectively translate data insights for stakeholders. These skills are vital to ensure data-driven decision-making, policy development, and efficient public service delivery.

What are some common challenges faced by a manager data analyst in a government setting, and how can they be addressed?

A Manager Data Analyst in government often encounters challenges such as navigating complex regulatory requirements, working with legacy systems, and ensuring data privacy and security. Additionally, collaborating across departments with varying data literacy levels can be demanding. These challenges can be addressed by fostering strong communication with stakeholders, prioritizing ongoing staff training, and implementing standardized processes for data governance and reporting. Leveraging modern data tools and advocating for digital transformation can also help streamline workflows and improve data-driven decision-making.

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

AspectManager Data Analyst GovernmentData Analyst Government
Required CredentialsBachelor's degree, often with experience in management or leadership certificationsBachelor's degree in related field, sometimes certifications in data analysis tools
Work EnvironmentSupervisory role overseeing teams, strategic planningData collection, analysis, reporting tasks
Employer & Industry UsageGovernment agencies, public sector organizationsGovernment departments, public sector agencies
Common Search & ComparisonYes, often compared for career progressionYes, as entry to mid-level roles in government data analysis

The main difference between a Manager Data Analyst Government and a Data Analyst Government lies in their responsibilities and seniority. The manager oversees teams, manages projects, and develops strategies, while the data analyst focuses on data collection, analysis, and reporting. Both roles are essential in government agencies, but the manager position requires leadership skills and experience in managing personnel.

What are the most commonly searched types of Data Analyst Government jobs in Iowa?

The most popular types of Data Analyst Government jobs in Iowa are:

What are popular job titles related to Manager Data Analyst Government jobs in Iowa?

For Manager Data Analyst Government jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Manager Data Analyst Government jobs in Iowa look for?

The top searched job categories for Manager Data Analyst Government jobs in Iowa are:

Infographic showing various Manager Data Analyst Government job openings in Iowa as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Analyst III

Clive, IA • On-site

NCMIC
Insurance Services • 51 - 200 employees

Full-time

Re-posted 8 days ago


Job description

Position Purpose:   

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical implementation.

Acts as the primary analytical owner for reporting and data initiatives, translating business needs into structured data definitions and validation logic. Partners closely with Data Engineers to ensure accurate implementation within established data models and architectural standards.

Independently leads small to medium initiatives and contributes significantly to larger efforts by bringing forward well-developed recommendations and risk assessments prior to implementation.

Essential Functions:

 

Gathers and defines reporting and data requirements in collaboration with managers and operational stakeholders. Translates business needs into data definitions, transformation rules, validation criteria, and reporting specifications. Ensures requirements are complete and testable prior to development.

 

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers to resolve issues and refine logic as needed.

  

Coordinates and executes UAT efforts to confirm solutions meet defined functional and data accuracy requirements. Documents findings and ensures corrections are addressed prior to production release.

 

Traces data flow across systems to assess downstream impacts of new data elements or definition changes. Identifies risks and dependencies and communicates findings and recommendations as appropriate.

Reinforces enterprise data definitions, naming conventions, and documentation practices. Identifies inconsistencies in business logic and recommends improvements. Provides mentorship and peer guidance as the analyst function grows.

 

Performs other duties as assigned.

 

Requirements:

Education:   Bachelor’s degree in Business Administration, Computer Science, 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 increasing responsibility.
  • Demonstrated leadership in requirements gathering and user acceptance testing efforts.
  • Proven ability to validate and reconcile data within ETL or warehouse solutions.
  • Strong track record translating business rules into structured data definitions and technical specifications.
  • Industry knowledge in insurance or financial services preferred.

Skills: 

  • Advanced proficiency in SQL and strong working knowledge of relational and warehouse data environments.
  • Ability to define, document, and validate business data logic with precision.
  • Demonstrated strength in structured problem-solving, impact analysis, and issue resolution.
  • Effective communicator capable of engaging technical teams and business stakeholders.
  • Demonstrates accountability and sound judgment while managing multiple concurrent initiatives.

Mental Demands: Ability to analyze complex business and data scenarios with limited direction. Ability to interpret requirements, evaluate alternatives, and identify root causes through structured problem-solving. Must be able to manage multiple initiatives, communicate findings clearly, and maintain a high level of accuracy while working under deadlines. Ability to adapt to changing priorities and collaborate effectively with technical and business stakeholders.

Physical Demands: Continuous sitting for extended periods of time, some standing, walking, bending and reaching. Frequent use of fingers and hands to manipulate computer, telephone and other office equipment. Ability to be able to look and concentrate at a computer screen/monitor for extended periods of time.