ZipRecruiter

Log In

2

Remote Data Analyst Jobs in Iowa (NOW HIRING)

Resource Innovations

Energy Engineer

Des Moines, IA · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

CSAA

Accounting Services Analyst I - Remote

Nevada, IA · Remote

$56K - $73K/yr

Job Title Accounting Services Analyst I - Remote Requisition Number R7864 Accounting Services ... Assists with 1099 processing activities, such as data preparation, validation, and documentation ...

next page

Showing results 1-20

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Iowa

Remote Data Analyst information

See Iowa salary details

$31.9K

$77.6K

$127.7K

How much do remote data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
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 are popular job titles related to Remote Data Analyst jobs in Iowa? For Remote Data Analyst jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Iowa look for? The top searched job categories for Remote Data Analyst jobs in Iowa are:
What cities in Iowa are hiring for Remote Data Analyst jobs? Cities in Iowa with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Iowa as of July 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,621 per year, or $37.3 per hour.

Policy Administration Data Analyst Manager

EquiTrust Financial Services

West Des Moines, IA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

About Us:

EquiTrust Life Insurance Company is a national carrier of competitive, client-friendly annuity products sold through a variety of distribution channels, including more than 20,000 independent agents and independent marketing organizations (IMOs). Since 2003, we have provided exceptional customer service to our clients by operating with integrity and passion. Our efforts are supported by a dedicated workforce who execute their responsibilities through teamwork and an entrepreneurial spirit. EquiTrust sells products nationwide and is headquartered in Chicago, Illinois, with operations in West Des Moines,

How You'll Contribute

As a Policy Administration Data and Analytics Manager, you will lead the reporting, analytics, and performance insights function within Policy Administration. You will be responsible for overseeing a team of data and analytics professionals, developing reporting strategies, ensuring data accuracy and governance, and delivering actionable insights that support policy issuance, maintenance, servicing, and operational decision-making. This role works closely with Operations, New Business, Compliance, Technology, Customer Service, Sales, Marketing, and external vendor partners to drive operational efficiency, support strategic planning, and enhance customer and policyholder experiences. We are looking for candidates who are passionate about data-driven decision-making, process improvement, and operational excellence and bring strong leadership, analytical, reporting, and stakeholder management skills to the team.

What You'll Do

  • Lead, coach, and develop a team of data analysts and associates.
  • Manage team performance, workload prioritization, hiring recommendations, and professional development activities.
  • Oversee the design, automation, enhancement, and maintenance of operational dashboards and reporting solutions.
  • Ensure reporting metrics accurately reflect policy activity, workflow volumes, capacity, and performance trends.
  • Review and validate reporting outputs for accuracy, consistency, and usability.
  • Analyze policy administration data to identify trends, risks, variances, and process improvement opportunities.
  • Translate analytical findings into actionable business recommendations.
  • Support audits, compliance initiatives, and regulatory reporting requirements.
  • Establish and maintain data governance and data quality processes.
  • Lead reporting and analytics efforts supporting IVR, Contact Center, and client-facing website operations.
  • Monitor digital self-service adoption and identify opportunities to improve customer experience and operational efficiency.
  • Partner with business stakeholders to gather requirements and deliver meaningful reporting and insights.
  • Provide leadership with ad hoc analyses and strategic recommendations to support decision-making and operational planning.
  • Support departmental and company initiatives as needed.

What You'll Bring

Education

Required:

  • High School Diploma

Preferred:

  • Bachelor's degree in Business, Marketing, Statistics, Data Science, Data Analytics, or a related field.

Experience

  • Minimum 5 years of policy administration or insurance operations experience with a focus on data analysis and reporting.
  • Experience developing operational dashboards and managing data workflows.
  • Power BI experience required.
  • Minimum 3 years of supervisory or people leadership experience.
  • Experience within life insurance, annuities, financial services, or other regulated industries preferred.

Knowledge, Skills, and Abilities

  • Strong proficiency with data visualization tools such as Power BI, Tableau, or Looker.
  • Advanced Excel skills and working knowledge of SQL.
  • Experience with CRM platforms (e.g., Salesforce) and marketing tools (e.g., HubSpot, Marketo).
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.
  • Excellent communication and presentation skills, including the ability to explain complex data to non-technical audiences.
  • Advanced analytical, mathematical, organizational, and critical-thinking skills.
  • Strong understanding of data analysis, databases, reporting tools, and system integrations.
  • Advanced problem-solving and decision-making capabilities.
  • Ability to adapt to changing priorities and business needs.
  • Strong interpersonal skills, professionalism, and commitment to customer service.
  • Demonstrated ability to lead teams and collaborate effectively across departments.

Physical Requirements

  • Occasionally lift or carry up to 20 pounds.
  • Frequent sitting, computer use, fine hand manipulation, and visual concentration.
  • Frequent verbal communication and hearing.
  • Occasional standing, walking, bending, stooping, reaching, and pushing/pulling.
  • Infrequent travel (less than 5%).
  • Ability to perform work primarily in an office or remote environment.

Total Rewards:
In addition to base pay, eligible employees may receive an annual discretionary incentive bonus and access to a competitive benefits package including: 

  • Medical, Dental & Vision coverage:
  • 401(k) with Company Match
  • Paid time off: Vacation, Sick, Holiday, and more
  • Paid Parental Leave for both Mothers and Fathers
  • Hybrid/Remote Work Options
  • Early Friday Closure

EquiTrust is an Equal Opportunity Employer and participates in the U.S. Federal E-Verify program. Applicants have rights under federal and state employment laws. To learn more, visit EquiTrust Careers. 

#LI-DB1 

#LI-Hybrid

Apply