1

Senior Data Annotation Analyst Jobs in Edgewood, KY

Senior Data Analyst

Blue Ash, OH · On-site

$82K - $104K/yr

Senior Data Analyst Company : New Vista Behavioral Health (corporate) Hours: Full Time, M-F Position Summary: The Senior Data Analyst plays a critical role in supporting clinical, operational ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure ... Will be responsible for Analysis, Design, Coding, Maintenance, and Implementation of applications ...

Sr. Data Insights Analyst

Blue Ash, OH · On-site

$82K - $104K/yr

The Sr. Digital Insights Analyst will serve as the insights technical leader on the Assortment Analytics team, working hand-in-hand with the Product Manager and data tech lead to make sense of ...

Senior Data Systems Analyst

Cincinnati, OH

$82K - $104K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Leverage SQL effectively to access, analyze, and validate data by writing accurate, efficient queries; applying appropriate performance techniques; and continuously improving data quality, insight ...

As a Senior Data Scientist, you'll serve as a technical leader and strategic partner, designing ... You'll influence architecture decisions, guide analytics strategy, and mentor other team members ...

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... for data analysis and manipulation. • Proficiency with statistics, design of experiments ...

next page

Showing results 1-20

Senior Data Annotation Analyst information

See Edgewood, KY salary details

$54.2K

$97.8K

$133.6K

How much do senior data annotation analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data annotation analyst in Edgewood, KY is $97,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $107,000.00 per year, depending on experience, location, and employer.

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 cities near Edgewood, KY are hiring for Senior Data Annotation Analyst jobs?

Cities near Edgewood, KY with the most Senior Data Annotation Analyst job openings:

Infographic showing various Senior Data Annotation Analyst job openings in Edgewood, KY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $97,836 per year, or $47 per hour.

Senior Data Analyst

Communicarehealth

Blue Ash, OH • On-site

$82K - $104K/yr

Full-time

Re-posted 27 days ago


Job description

Job Address:

10123 Alliance Road, Suite 320 Blue Ash, OH 45242


Job Title: Senior Data Analyst

Company: New Vista Behavioral Health (corporate)

Hours:Full Time, M-F

Position Summary:

The Senior Data Analyst plays a critical role in supporting clinical, operational, financial, and revenue cycle performance across New Vista Behavioral Health facilities. This individual partners closely with leadership, facility teams, billing, and accounting to deliver accurate reporting, actionable insights, and data-driven decision support.

The role requires strong independent execution, with a focus on behavioral health metrics including census, length of stay, payer mix, denials, and reimbursement performance. The analyst ensures data integrity across systems and helps drive improvements in patient access, financial outcomes, and operational efficiency.

Key Responsibilities

Reporting & Analytics

  • Develop, maintain, and distribute daily, weekly, and monthly reports across facilities (census, admissions, discharges, LOS, payer mix, revenue, and productivity)
  • Analyze trends in volume, reimbursement, and operational performance across behavioral health programs
  • Reconcile and validate census and patient movement across EHR, billing, and operational systems
  • Support mid-month forecasting and assist with month-end close and financial reporting
  • Prepare facility-level monthly reporting packages for executive leadership and site operators
  • Translate operational and financial needs into data models, dashboards, and reporting solutions

Revenue Cycle & Financial Support

  • Track and analyze denials across payers, identifying trends and root causes specific to behavioral health services
  • Monitor upfront collections, insurance verification, and authorization performance
  • Support payer mix analysis and reimbursement optimization efforts
  • Assist accounting with reconciliations, reporting tie-outs, and variance analysis
  • Partner with leadership to improve cash flow, reduce denials, and strengthen revenue capture

Operational Support & Collaboration

  • Partner with facility leadership (CEOs, Program Directors, and Business Office teams) to identify operational issues and performance gaps
  • Serve as a liaison between operations, billing, accounting, and external partners to resolve data discrepancies and reporting issues
  • Provide clear, concise insights to both clinical and financial stakeholders to support decision-making
  • Support ad hoc analysis tied to growth initiatives, new programs, or facility performance reviews

Data Management & Strategy

  • Establish and maintain standardized definitions and reporting structures for behavioral health KPIs (census, LOS, payer mix, denial categories, etc.)
  • Support system implementations, integrations, and data migrations (EHR, billing platforms, reporting tools)
  • Ensure data integrity and governance across enterprise systems
  • Collaborate with internal teams and external vendors to enhance analytics capabilities and reporting automation
  • Drive continuous improvement in data quality, accessibility, and reporting efficiency

Qualifications

  • Bachelor's degree in business, Finance, Data Analytics, Healthcare Administration, or related field (or equivalent experience)
  • 2-5+ years of experience in business intelligence, healthcare analytics, or revenue cycle (behavioral health preferred)
  • Strong proficiency in Excel; experience with SQL and BI tools (Power BI, Tableau) preferred
  • Knowledge of behavioral health revenue cycle (authorizations, billing, coding, denials, collections)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently in a fast-paced, multi-facility environment

Key Competencies

  • High attention to detail and data accuracy
  • Strong financial and operational acumen
  • Cross-functional collaboration
  • Problem-solving and critical thinking
  • Ownership and accountability

Work Environment

  • Individual contributor role with no direct reports
  • High collaboration with facility leadership, billing, accounting, and corporate teams
  • Fast-paced, multi-site behavioral health environment requiring adaptability and initiative