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Remote Data Analysis Jobs in Iowa (NOW HIRING)

Resource Innovations

Energy Engineer

Madison, WI · 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 ...

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 ...

CIBC

Data Security Consultant

Nevada, IA · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

TEKsystems

Sr. AWS Data Engineer

Des Moines, IA · Remote

$65 - $75/hr

... teams to support analytics, reporting, and emerging data use cases while contributing to ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

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Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

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 Remote Data Analysis jobs in Iowa?

For Remote Data Analysis jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis jobs in Iowa look for?

The top searched job categories for Remote Data Analysis jobs in Iowa are:

What cities in Iowa are hiring for Remote Data Analysis jobs?

Cities in Iowa with the most Remote Data Analysis job openings:

Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director Data Management- Hybrid- Des Moines, Iowa

American Enterprise Mutual Holding

Des Moines, IA • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

Wellabe is looking for a Director of Data Management to join our team.  As a Director of Data Management, you will report to Chief Data & Analytics Officer and lead the design, delivery, and modernization of our enterprise data platform. This role will oversee the migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using the medallion architecture, establishing a scalable, high-performance single source of truth that powers analytics, reporting, and AI/ML across the insurance value chain.

As a senior leader, you will guide the onsite and remote data engineering team, set data platform strategy, and ensure delivery of cloud-native, reliable, and business-ready data assets. You will partner with architecture, analytics, governance, and business leaders to align the enterprise data platform with business objectives.

Core Responsibilities
  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization.
  • Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse.
  • Lead and mentor data engineers, fostering technical excellence and delivery accountability.
  • Partner with enterprise data and solution architects to ensure data models, pipelines, and platform design meet business needs.
  • Transform a fragmented data ecosytem to deliver a single source of truth for insurance domains.
  • Drive cloud-native engineering best practices (ETL/ELT optimization, CI/CD, DevOps, cost efficiency, observability).
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives.
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access.
  • Prioritize and manage the enterprise data portfolio, aligning data investments with business value, strategic initiatives, and operational outcomes.
  • Manage budget, resourcing, and vendor relationships to scale platform capabilities.
  • Stay current on emerging technologies (Databricks, streaming, AI/ML enablement) to evolve the platform roadmap.
  • Own the Databricks platform and help guide business users on adoption of the Lakehouse.
Qualifications
  • Expertise with Azure Data Services (Data Lake, Data Factory, Synapse, Event Hub, Key Vault).
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap.
  • Excellent communication and leadership skills influence technical and business stakeholders.
  • Familiarity with the DAMA/DMBOK practice and standards.
  • Familiarity with streaming/real-time ingestion (Kafka, Event Hub) is required.
  • 10+ years of experience in data engineering, architecture, or platform leadership, with at least 5 years in team management. Insurance or financial services experience is required.
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems in Databricks or Snowflake.
  • Hands-on experience with Databricks Lakehouse (PySpark, Delta Lake, Unity Catalog).
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing.
  • Experience working with compliance regulations and handling of PHI/PII data.
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake.
  • Experience with DevOps and automation frameworks (Azure DevOps, Terraform, GitHub Actions).
Education
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field. Combination of education and/or relevant work experience may be accepted in lieu of degree
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities

We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities — not only for you, but also for our company. That’s why we provide:

  • LinkedIn Learning Premium access
  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more 
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program 
  • Opportunities to take part in Wellabe's mentorship programs 
About Wellabe

Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we’re committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe’s culture of betterment by visiting wellabe.com/culture.

Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.

Our core values:

  • Be dedicated: Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy: Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined: Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative: Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open: Embrace diversity and new ideas to create an inclusive environment.
  • Be generous: Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better: Commit to continuous improvement and adapt effectively to change.
  • Be well: Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

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