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Remote Data Analyst Ai Jobs in Iowa (NOW HIRING)

Legal AI Trainer - Remote

Davenport, IA ยท Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Legal AI Trainer - Remote

Des Moines, IA ยท Remote

$90 - $150/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

AI Legal Counsel - Remote

Davenport, IA ยท Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

AI Legal Counsel - Remote

Des Moines, IA ยท Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

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Showing results 1-20

Remote Data Analyst Ai information

What is a remote data analyst AI?

Remote Data Analyst AI jobs involve analyzing large datasets to extract actionable insights, often by applying artificial intelligence and machine learning techniques. These professionals work from home or any remote location, using specialized software to process, visualize, and interpret data trends. They collaborate with businesses to solve complex problems, forecast outcomes, and support data-driven decision-making. Strong analytical, programming, and communication skills are essential for success in this role.

How does a remote data analyst AI typically collaborate with cross-functional teams while working remotely?

As a Remote Data Analyst AI, you will frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings and shared digital platforms. Effective communication is essential, as much of your work involves translating complex data insights into actionable recommendations for team members in different locations. You'll often use collaboration tools like Slack, project management software, and cloud-based data dashboards to share findings and coordinate tasks. Building strong working relationships virtually can be a challenge, but regular check-ins and clear documentation help ensure alignment and successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote data analyst AI, and why are they important?

To thrive as a Remote Data Analyst AI, you need strong analytical skills, expertise in statistics, and proficiency with data analysis, typically backed by a degree in a quantitative field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is commonly required. Outstanding problem-solving, attention to detail, and effective communication are vital soft skills for collaborating remotely and presenting insights clearly. These skills and qualifications are important to accurately interpret data, drive actionable recommendations, and succeed in a fast-evolving, distributed work environment.

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

AspectRemote Data Analyst AiRemote Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Google Data AnalyticsBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentRemote, often in analytics teams within various industriesRemote or hybrid, working on complex models and research in tech, finance, healthcare
Employer & Industry UsageBusiness, marketing, finance, healthcare companiesTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesYes

Remote Data Analyst Ai focuses on analyzing data using AI tools to generate insights, often with a focus on business intelligence. Remote Data Scientist involves developing complex models and algorithms to solve advanced problems. While both roles require similar educational backgrounds and work environments, Data Scientists typically handle more technical, research-oriented tasks compared to Data Analysts.

What cities in Iowa are hiring for Remote Data Analyst Ai jobs?

Cities in Iowa with the most Remote Data Analyst Ai job openings:

Director Data Management- Hybrid- Des Moines, Iowa

American Enterprise Mutual Holding

Des Moines, IA โ€ข On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 23 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.ย  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 โ€” not only for you, but also for our company. Thatโ€™s why we provide:

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

Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And weโ€™re committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabeโ€™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:ย Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy:ย Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined:ย Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative:ย Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open:ย Embrace diversity and new ideas to create an inclusive environment.
  • Be generous:ย Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better:ย Commit to continuous improvement and adapt effectively to change.
  • Be well:ย Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.