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Remote Data Analyst Jobs in Waukee, IA (NOW HIRING)

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

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

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

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Geospatial Analytics background IN THE CONTEXT OF AGRICULTURE is important. We don't want ... remote sensing platforms, and environmental data sources to generate actionable insights for ...

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... 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 Analyst information

See Waukee, IA salary details

$32.6K

$79.3K

$130.4K

How much do remote data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data analyst in Waukee, IA is $79,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 per year, depending on experience, location, and employer.

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 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.

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, 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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Waukee, IA?

The most popular types of Data Analyst jobs in Waukee, IA are:

What job categories do people searching Remote Data Analyst jobs in Waukee, IA look for?

The top searched job categories for Remote Data Analyst jobs in Waukee, IA are:

What cities near Waukee, IA are hiring for Remote Data Analyst jobs?

Cities near Waukee, IA with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Waukee, IA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,252 per year, or $38.1 per hour.

Director Data Management- Hybrid- Des Moines, Iowa

American Enterprise Mutual Holding

Des Moines, IA • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Key responsibilities

  • Lead the design, delivery, and modernization of the enterprise data platform, including migration from legacy systems to Azure Databricks Lakehouse.

  • Oversee and guide the data engineering team, ensuring the development of scalable, reliable, and business-ready data assets.

  • Partner with architecture, analytics, governance, and business leaders to align the data platform with enterprise objectives.


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.