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Senior Data Annotation Analyst Jobs in Iowa (NOW HIRING)

The Weitz Company

Senior Compensation Analyst

Des Moines, IA · On-site

$81K - $105K/yr

The Senior Compensation Analyst partners closely with HR leadership and business stakeholders to provide data-driven insights, recommendations, and tools that support sound compensation decisions.

Weitz

Senior Compensation Analyst

Des Moines, IA · On-site

$81K - $105K/yr

The Senior Compensation Analyst partners closely with HR leadership and business stakeholders to provide data-driven insights, recommendations, and tools that support sound compensation decisions.

Hy-Vee, Inc.

Senior Retail Media Analyst

West Des Moines, IA · On-site

$86K - $114K/yr

Senior Retail Media Analyst Department: RedMedia FLSA: Salary (Exempt) Revision Date: 08/2026 About ... You act as the data and analytical expert for a pod of supplier partners, answering complex ...

HyVee

Senior Retail Media Analyst

West Des Moines, IA · On-site

$86K - $114K/yr

Senior Retail Media Analyst Department: RedMedia FLSA: Salary (Exempt) Revision Date: 08/2026 About ... You act as the data and analytical expert for a pod of supplier partners, answering complex ...

OpenLoop Health, Inc.

Sr. FP&A Analyst

Des Moines, IA · On-site

$70 - $110/hr

OpenLoop is looking for a Senior Analyst, FP&A to join our team remotely or at HQ in Des Moines, IA ... Support strategic planning initiatives by analyzing financial data and trends to assist in the ...

New

University of Iowa

Senior Financial Analyst

Iowa City, IA · Hybrid

$83K - $104K/yr

... Senior Financial Analyst. This position has responsibility for performing complex, recurring and ... Gather data from outpatient pharmacy system for monthly entry into general ledger. * Obtain ...

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Senior Data Annotation Analyst information

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

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

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

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

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

What cities in Iowa are hiring for Senior Data Annotation Analyst jobs?

Cities in Iowa with the most Senior Data Annotation Analyst job openings:

Senior Data Annotation Analyst jobs near you

Sr. Marketing Technology Analyst

American Equity

Des Moines, IA • On-site

$84K - $104K/yr

Full-time

Posted 15 days ago

Job description

American Equity Investment Life Insurance Company is a leading provider of annuity solutions designed to help clients protect and grow retirement income. Part of Brookfield Wealth Solutions, we partner with more than 40,000 financial professionals and help fund over half a million retirements nationwide. Recognized by Newsweek as one of America's Most Trustworthy Companies and named a Top Workplace in Iowa, American Equity fosters a collaborative and purpose-driven culture where employees are empowered to ignite their passion and help shape the future of financial services.
Headquartered in Des Moines, Iowa, with satellite offices in Charlotte, NC and New York, NY, American Equity provides opportunities for employees to support work across the enterprise, including our sister company, American National, headquartered in Houston, Texas.
GENERAL PURPOSE OF THE JOB:
The Sr Marketing Technology Analyst owns and supports the digital analytics ecosystem across web and marketing platforms. This role is responsible for the end-to-end implementation, governance, and optimization of Google Analytics 4 (GA4), Google Tag Manager (GTM), and data layer architecture to ensure accurate, reliable, and actionable data across the organization.
The role serves as a bridge between marketing, IT, data engineering, and analytics to enable high-quality data collection that supports reporting in Snowflake, Tableau, and downstream business insights.
**Position sits in Des Moines and will work an onsite schedule**
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Lead implementation and ongoing management of GA4 properties, events, and conversions
  • Own and administer Google Tag Manager (GTM), including tagging strategy and structure
  • Design, document, and maintain a robust data layer framework
  • Implement and manage marketing tags including conversion tracking and retargeting pixels
  • Ensure data consistency across data layer → GTM → GA4 → Snowflake pipelines
  • Establish and enforce data governance standards
  • Monitor and troubleshoot data discrepancies and anomalies
  • Partner with marketing, IT, and data teams for tracking and implementation needs
  • Create and maintain tracking documentation and QA processes
  • Performs other related duties as assigned.

SUPERVISORY RESPONSIBILITIES:None for this position
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in a related field plus four (4) or more years of related experience, or equivalent combination of education and experience.
  • Experience implementing and managing GA4 properties, events, and conversions.
  • Experience administering Google Tag Manager (GTM), including tagging strategy, structure, and marketing tag implementation such as conversion tracking and retargeting pixels.
  • Experience designing, documenting, and maintaining data layer frameworks and supporting data consistency across data layer, GTM, GA4, and Snowflake pipelines.
  • Experience establishing data governance standards, monitoring data quality, and troubleshooting discrepancies or anomalies.
  • Experience partnering with marketing, IT, and data teams to support tracking requirements, implementation needs, QA processes, and documentation.
  • Preferred: Experience working in an Agile environment and driving end-to-end delivery of data, analytics, or intelligence solutions.

CERTIFICATES, LICENSES, PROFESSIONAL DESIGNATIONS:
  • N/A

KNOWLEDGE, SKILLS AND ABILITIES:
  • Strong knowledge of digital analytics concepts, including event tracking, conversion measurement, tagging strategy, and data collection best practices.
  • Skilled in using Google Analytics 4 and Google Tag Manager to support accurate, scalable, and reliable marketing and web analytics tracking.
  • Ability to understand, document, and maintain data layer requirements and translate business tracking needs into technical implementation requirements.
  • Strong analytical and problem-solving skills, with the ability to troubleshoot data discrepancies, identify root causes, and recommend effective solutions.
  • Knowledge of data governance, quality assurance, and documentation practices needed to support consistent and trustworthy reporting.
  • Ability to partner effectively with marketing, IT, data engineering, analytics, and other cross-functional teams to support tracking and implementation needs.
  • Strong attention to detail and commitment to accuracy when configuring tags, validating tracking, and maintaining QA processes.
  • Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.

This description covers the major purpose and essential functions of the job. It is not intended to give all details or a step-by-step account of the way each task is to be performed. Employees may receive other job related instructions and be required to perform other job related work requested by their manager. All requirements are subject to possible modification to provide reasonable accommodation to qualified individuals with disabilities.
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At American Equity, our core values-Empowered, Passion, Integrity, and Caring-are more than words. They guide how we support one another and how we serve our clients every day. To learn more about American Equity, our culture, and our values, visit the Careers site.
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