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At Home Data Analyst Jobs in Iowa (NOW HIRING)

Position Purpose: Serves as an advanced analytical resource responsible for defining data ... Ability to be able to look and concentrate at a computer screen/monitor for extended periods of ...

Position Purpose: Serves as an advanced analytical resource responsible for defining data ... Ability to be able to look and concentrate at a computer screen/monitor for extended periods of ...

Position Purpose: Serves as an advanced analytical resource responsible for defining data ... Ability to be able to look and concentrate at a computer screen/monitor for extended periods of ...

Senior Data Analyst

Nevada, IA · On-site

$69 - $99/hr

Senior Data Analyst Date: Aug 12, 2026 Location: Any city, NV, US, 99999 Work Mode: Virtual ... Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career ...

At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

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Showing results 1-20

At Home Data Analyst information

See Iowa salary details

$31.9K

$77.6K

$127.7K

How much do at home data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for at home data analyst in Iowa is $77,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What is an at home data analyst?

An At Home Data Analyst is a professional who collects, processes, and interprets data from a remote location, typically their own home. They use various statistical tools and software to analyze data sets, identify trends, and generate reports that help organizations make informed decisions. This role often requires strong analytical skills, attention to detail, and proficiency with data analysis software such as Excel, SQL, or Python. At Home Data Analysts communicate their findings to stakeholders through visualizations and written reports, contributing valuable insights while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as an at home data analyst?

To thrive as an At Home Data Analyst, you need a solid background in statistics, data interpretation, and analytical problem-solving, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with technical tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is typically required, along with relevant certifications. Strong attention to detail, self-motivation, and effective communication are crucial soft skills for remote work and presenting findings clearly. These skills are essential for extracting actionable insights from data and ensuring reliable, independent work in a remote setting.

What are some of the common challenges faced by at home data analysts, and how can they be addressed?

At Home Data Analysts often encounter challenges such as limited direct collaboration with team members, staying motivated without in-person supervision, and managing data security remotely. To address these, it's important to establish regular communication using collaborative tools like Slack or Zoom, create a structured daily routine, and strictly adhere to company data privacy guidelines. Proactive engagement with colleagues and participation in virtual team meetings can also help maintain a sense of connection and keep projects on track.

Can you work from home in at home data analytics?

At home data analysts often have the opportunity to work remotely, as the role primarily involves analyzing digital data using tools like Excel, SQL, or data visualization software. Many companies offer flexible or fully remote positions for data analysts, provided candidates have strong technical skills and reliable internet access.

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

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

What cities in Iowa are hiring for At Home Data Analyst jobs?

Cities in Iowa with the most At Home Data Analyst job openings:

Infographic showing various At Home Data Analyst job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution, with an average salary of $77,621 per year, or $37.3 per hour.
NCMIC
Insurance Services • 51 - 200 employees

Full-time

Re-posted 21 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.