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Senior Data Annotation Analyst Jobs in Colorado (NOW HIRING)

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Strive Health

Sr. Data Analyst

Denver, CO

$85K - $104K/yr

What You'll Do The Senior Data Analyst (Partner Analytics) will work across the organization to support new and ongoing initiatives. This person will be an early member of a highly experienced and ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Strive Health

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

What You'll Do The Senior Data Analyst (Partner Analytics) will work across the organization to support new and ongoing initiatives. This person will be an early member of a highly experienced and ...

EchoStar

Senior Data Analyst

Littleton, CO · On-site

$100K - $118K/yr

Lead end-to-end analytical projects, translating complex business problems into actionable customer lifecycle strategies and data-driven recommendations * Develop, train, and evaluate predictive ...

TekSynap

Senior Data Manager

Denver, CO

$69.25 - $92.75/hr

Responsibilities & Qualifications RESPONSIBILITIES The Senior Data Manager is expected to be able ... Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.

Stantec

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

GliaCell Technologies

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/yr

Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to ... Building and maintaining custom data analytics to automate and scale signals analysis * Experience ...

CEDENT

Senior Data Engineer

Denver, CO · On-site

$40 - $60/hr

Strong analytical skills to interpret AWS billing and usage data. Senior Data Engineer Responsibilities: · AWS Cost Optimization & FinOps Analysis o Analyze AWS spend data to identify cost-saving ...

GliaCell Technologies

Senior Data Scientist

Aurora, CO · On-site

Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to ... Building and maintaining custom data analytics to automate and scale signals analysis * Experience ...

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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.

What are the most commonly searched types of Data Annotation Analyst jobs in Colorado? The most popular types of Data Annotation Analyst jobs in Colorado are:
What cities in Colorado are hiring for Senior Data Annotation Analyst jobs? Cities in Colorado with the most Senior Data Annotation Analyst job openings:
Senior Data Annotation Analyst jobs near you

Senior Data Analyst

University of Colorado

Colorado Springs, CO • On-site

$75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

139th of 616 rated colleges and universities

Job description

IDEA Senior Data Analyst
Office of Institutional Data, Effectiveness, and Analytics
Elevate Your Career at UCCS: Innovate, Inspire, and Impact in the Rockies!
Who We Are
The University of Colorado Colorado Springs (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking a Senior Data Analystto join our team! UCCS is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success.
At the base of the Rocky Mountains, Colorado Springs is captivated by its stunning landscapes, making it a paradise for nature lovers. This city is more than its scenery-a mosaic of history, arts, and a vibrant tech scene. We invite you to join a community that cherishes outdoor adventure as much as forward-thinking growth, an exceptional setting for both career and lifestyle.
Salary Range: $ 62,540.00 - $75,000.00 annually. Compensation will be commensurate upon experience and qualifications. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions.
Work Location: Hybrid
Benefits at a Glance
At UCCS, our employees are our most valued asset. We're proud to offer:
  • Generous Time Off: Enjoy 22 vacation days, 10 sick days, paid parental leave, 13 recognized holidays, and provisions for bereavement, jury duty, and FAMLI Leave.
  • Robust Health Coverage: Our comprehensive medical plans cover preventative care at no cost, including a yearly mental health visit. Plus, benefit from affordable dental, vision plans, and competitive prescription drug prices.
  • Financial & Retirement Benefits: Take advantage of our health savings, flexible spending accounts, and life and disability insurance. Plan for your future with our retirement options.
  • Further Your Education: Avail twelve (12) waived credits per academic year for courses at any CU campus. We invest in your educational and professional growth.
  • Wellness & More: From wellness programs aimed at achieving your best self to various additional benefits through CU Advantage, we prioritize well-being and holistic development.
  • Want to know your total compensation? Use our calculator to get the complete picture!

Summary
The IDEA Senior Data Analyst is a technical expert and strategic analyst within the Office of Institutional Data, Effectiveness, and Analytics (IDEA) and is responsible for advanced dashboard design, data analytics, and institutional data governance initiatives. The incumbent leads complex data projects and partners with campus leaders to transform data into actionable insight supporting student success, resource planning, and institutional effectiveness.
Reporting to the Director of IDEA, the Senior Data Analyst provides mentorship to analysts and helps shape a data-informed culture at UCCS through consultation, documentation, and collaboration.
Essential Functions
The duties and responsibilities of the position include, but are not limited to:
  • Data Validation (25%)- Assesses the quality and accuracy of data used by IDEA and attempts to identify root causes of any inconsistencies. Collaborates with appropriate campus data stewards and custodians to resolve the concerns. Results are documented to ensure data definitions, metrics, and business rules are aligned with institutional data governance policies. Data may be institutional or external datasets, may include quantitative or qualitative (survey) data, and may require additional data modeling and warehousing efforts in partnership with other data stewards.
  • Query Building (20%)- Creates and refines queries that can pull updated and accurate information from various data sources (e.g., People Soft/Campus Solutions, CU Central Information Warehouse, Slate, Qualtrics) to be used by others or in various data reports or visualizations.
  • Report Generation and Data Visualizations (45%)- Builds and maintains robust, scalable reports and dashboards to support data-informed decision-making at all levels of the institution. These projects may require collaboration with senior leaders and stakeholders across Student Success, Academic Affairs, and Administration and Finance to ensure resulting reports and visualizations are applicable and meaningful to users.
  • Mentoring and Training (10%)- Mentors junior analysts and provides training or guidance in best practices for data analysis and visualization within IDEA or with campus data users.

The job duties and percentages listed are ty pical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without hanging the general nature and scope of the job or level of responsibility. You may be required to perform other duties as assigned.
Tentative Search Timeline
  • Priority will be given to applications submitted by: July 24, 2026
  • Potential interview dates: July 27, 2026 - July 31, 2026
  • Potential start date: August 11, 2026

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices.
Qualifications
  • A bachelor's degree in a relevant field (e.g., data science, social science, education, business analytics) or substitution of year-for-year experience in data analysis, institutional research, business intelligence, or related field is required.
  • Experience analyzing data and generating reporting to support decision and improve outcomes in an organizational setting is required.
  • A master's degree in a related field (e.g., education research, data analytics, economics, statistics, public policy) or substitution of year-for-year experience for the degree, is preferred.
  • Experience leading research or assessment initiatives in a university setting is highly desirable.
  • Familiarity with UCCS systems such as Campus Solutions/PeopleSoft, Oracle, Cognos, Tableau, Ad Astra, Slate, StarRez, and the CU Data Governance framework is highly desirable.
  • Evidence of contributions to fostering data culture or improving institutional data processes is desired.

The University of Colorado Colorado Springs has implemented a misconduct history check program with respect to final candidates for specific appointments. The misconduct history check program is intended to allow UCCS to collect and review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination - before making hiring decisions. All final candidates to these appointments are required to complete an Authorization to Release Information and provide contact information for their previous institutions.
Note: This job description outlines this role's general responsibilities, qualifications, and physical requirements at UCCS. It is not an exhaustive list of all required duties, responsibilities, and qualifications. The university reserves the right to modify, add, or remove duties and responsibilities as needed to meet the university's needs.

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