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Senior Data Annotation Analyst Jobs in Tennessee

Senior Data Analyst

Nashville, TN · Hybrid

$83K - $104K/yr

Senior Data Analyst Reports To: Chief Information Officer Works Closely With: Business Unit Data Leads, Director of Program Management, Information Technology, and external partners Department:

Sr. Data Analyst

Memphis, TN · On-site

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. * Mentors less senior staff. * Works in cross functional projects and ...

Senior Data Architect

Nashville, TN · On-site

$65 - $87/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 ...

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Monitor pipelines, troubleshoot issues, and perform root‑cause analysis. * Optimize Databricks ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

Defines data annotation and labeling processes to ensure data quality, independently. * Designs and ... analysis. * Manages the flow of data pipeline and storage day-to-day operations. Data Pipeline and ...

New

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation ... Monitor pipelines, troubleshoot issues, and perform root‑cause analysis. * Optimize Databricks ...

Senior Data & Reporting Analyst

Brentwood, TN · On-site

$81K - $102K/yr

Identify, analyze, interpret, and communicate trends or patterns in complex data set(s). * Audit and clean data by reviewing computer reports, printouts, and performance indicators to locate and ...

Position: Senior Data Scientist The Senior Data Scientist will be responsible for owning the ... Conduct data analyses related to model outputs or explore alternative use cases for existing models ...

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Showing results 1-20

Senior Data Annotation Analyst information

Is it difficult to get a job at data annotation?

Securing a position as a Senior Data Annotation Analyst typically requires attention to detail, familiarity with annotation tools, and basic understanding of data labeling processes. While some roles may require prior experience or specific skills, entry-level positions are often accessible with relevant training or certifications. The difficulty varies depending on the company's requirements and the competitiveness of the job market.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are considered modest compared to other tech roles, with pay often ranging from minimum wage to around $15-$20 per hour depending on experience and location. While some companies offer bonuses or flexible schedules, overall compensation for entry-level data annotation positions is generally lower than more specialized data science or engineering roles.

What are Senior Data Annotation Analysts?

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 does a data annotation analyst do?

A data annotation analyst labels and categorizes data such as images, text, or videos to help train machine learning models. They use tools and guidelines to ensure data is accurately annotated, which is essential for developing reliable AI systems. Attention to detail and understanding of data formats are important in this role.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Analyst, and why are they important?

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 is the highest salary for data annotator?

The highest salary for a senior data annotation analyst can reach around $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or certifications may offer higher compensation, especially in competitive tech markets.
What are the most commonly searched types of Data Annotation Analyst jobs in Tennessee? The most popular types of Data Annotation Analyst jobs in Tennessee are:

Senior Data Analyst

NASBA

Nashville, TN • Hybrid

$83K - $104K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Description

Job Title: Senior Data Analyst


Reports To: Chief Information Officer


Works Closely With: Business Unit Data Leads, Director of Program Management, Information Technology, and external partners


Department: Information Technology


FLSA Status: Salaried Exempt - You must complete the application to view salary details within the screener questions.


Schedule: Monday - Friday 8:00am to 4:30pm / 37. 5 - hours weekly


There is some work from home flexibility that is determined by the manager. This is not a full-time remote position - required to work in the Nashville office for a minimum of two days per week and as needed.


Job Summary:

The Senior Data Analyst is responsible for transforming NASBA data into clear, actionable insights that improve decision-making, operational performance, and measurable business outcomes. This role partners closely with business unit leaders, Information Technology, and external partners to understand business questions, define analytical requirements, and deliver accurate, timely, and useful reporting and analytics products.


Working under the direction of the Chief Information Officer, the Senior Data Analyst develops and maintains dashboards, reports, data models, and analytical solutions aligned with NASBA's enterprise data and AI strategy. The role is accountable for the quality, adoption, and business value of assigned analytics and reporting, while supporting strong data governance, security, and responsible use of data.


The Senior Data Analyst also supports the effective use of NASBA's enterprise data platform, including Snowflake and Power BI, by promoting data consistency, quality, performance, and alignment with enterprise standards. The role collaborates with CGI and other vendors as needed under the strategic guidance of the Chief Information Officer.

Requirements

  Key Responsibilities:

Partner with business unit leaders and stakeholders to identify business questions, define analytical needs, and translate those needs into clear reporting and analytics requirements.

Design, build, develop, and maintain dashboards, reports, scorecards, and self-service analytics solutions using Power BI and other approved tools.

Analyze data to identify trends, risks, opportunities, root causes, and performance drivers, and present findings through concise narratives, visualizations, and executive-level summaries.

Own the quality, usability, adoption, and measurable business outcomes of assigned analytics and reporting solutions.

Translate approved priorities into detailed analytical work, manage assigned work items, and deliver reporting and analytics solutions within agreed timelines.

Execute assigned analytics initiatives in partnership with the Director of Program Management, business unit data leads, and technical delivery teams.

Monitor report and dashboard utilization, performance, and stakeholder feedback, and refine solutions based on business results and changing needs.

Create and maintain documentation for business rules, metrics, data definitions, report logic, and analytical methodologies.

Support data quality by validating source data, reconciling results, identifying issues, and partnering with technical teams to resolve defects.

Build and maintain semantic models, data transformations, and reporting solutions that meet enterprise standards for consistency, scalability, and performance.

Collaborate with CGI and other vendors to ensure analytics and data solutions meet business requirements, quality expectations, security standards, and architectural guidelines.

Support data governance, privacy, security, responsible AI, and continuous improvement initiatives.

Perform other duties as needed and assigned.


Skills and Qualifications:


Strong data analysis, business intelligence, and reporting experience.

Advanced experience with Power BI, including dashboard development, data modeling, DAX, visualization design, and report performance optimization.

Working knowledge of Snowflake or a comparable enterprise cloud data platform.

Experience with SQL, data validation, data profiling, and analysis of large or complex datasets.

Understanding of data pipelines, integration concepts, data quality practices, and semantic data models.

Ability to translate business needs into practical analytical solutions and measurable outcomes.

Strong analytical, problem-solving, and critical-thinking skills.

Excellent stakeholder management, facilitation, presentation, and written communication skills.

Ability to explain complex data findings to nontechnical audiences.

Working knowledge of analytics, AI, and emerging data technologies.

Experience working with external vendors, consultants, or managed-service providers.

Understanding of data governance, security, privacy, and responsible AI principles.

Ability to balance multiple priorities and work effectively across business and technical teams.


Experience Requirements:


Five to eight years of experience in data analysis, business intelligence, analytics, reporting, data management, or a related field is required. Demonstrated experience developing and supporting enterprise dashboards and reporting solutions is required. Experience with Power BI and enterprise data platforms such as Snowflake is strongly preferred. Experience working in vendor-supported or outsourced environments is preferred.


Education:

Bachelor's degree in data analytics, information systems, computer science, business, finance, accounting, or a related field is preferred. Equivalent combinations of education and relevant professional experience may be considered.


Below is an overview of some of the benefits we offer to full-time employees.

Medical/Dental/Vision

Health Reimbursement Account (HRA)

Life Insurance

Short-Term & Long-Term Disability

Numerous Voluntary Policies

Employee Assistance Program

401(k) Plan (NASBA contributes 5.7% of employee's salary)

Flexible work plan benefit $100 monthly allowance. Parking paid on days in the office.

Holidays (13 days)

Paid leave time - (prorated based on hire date and earned on an accrual basis)

Vacation Leave (15 days annually)

Sick Leave (12 days annually)

Personal Days (3 days annually)

Flex Spending Account (FSA)

Dress for Your Day Casual Dress


Some work from home is flexible; however, you must live in the Middle TN area and not out of state. This is not a full-time remote position, and you must work in the Nashville, TN office two days per week or as needed.


NASBA provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 

Final offers of employment are contingent upon successful completion of national criminal background check, national sex offender registry search and, where applicable, an education credential check, credit check, Global Watchlist and/or Government Watchlist.
 

Due to overwhelming interest in our organization, we are unable to accept faxed resumes or incoming calls regarding open positions. Only those matching the above job description will be contacted.
 

Thank you for your interest in employment opportunities at NASBA.