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Senior Data Annotation Analyst Jobs in Ohio (NOW HIRING)

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Senior Data Analyst Type: Contract / C2C (temporary) Senior Data Analyst. Our client has a contract need for a Senior Data Analystto assist with their project to implement the Workday ERP system. The ...

Senior Data Analyst

Blue Ash, OH

$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 ...

LHH is partnering with a growing organization in the Columbus, OH area to identify a Senior Data Analyst for a direct hire opportunity. This role is ideal for a highly analytical professional who ...

Senior Data Analyst

Columbus, OH · On-site

$90K - $108K/yr

LHH is partnering with a growing organization in the Columbus, OH area to identify a Senior Data Analyst for a direct hire opportunity. This role is ideal for a highly analytical professional who ...

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform complex operational data into actionable business insights. This position plays a critical role in ...

New

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform complex operational data into actionable business insights. This position plays a critical role in ...

New

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Title: Sr. Data Analyst - SQL Location: Dayton, OH Duration: 9 to 12 months+ Top Desired Skills: Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an ...

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio. * Interprets and ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS). * Analyze and tune underperforming reports and queries to improve ...

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

Urgent Need SR Data Analyst

Dayton, OH · On-site

$83K - $105K/yr

Title: Sr. Data Analyst - SQL Location: Dayton, OH Duration: 9 to 12 months+ Top Desired Skills: Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

Senior Data Engineer

Cincinnati, OH

$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 ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

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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 Ohio? The most popular types of Data Annotation Analyst jobs in Ohio are:
What cities in Ohio are hiring for Senior Data Annotation Analyst jobs? Cities in Ohio with the most Senior Data Annotation Analyst job openings:

Senior Data Analyst

RAKS Group LLC

Columbus Grove, OH

$78K - $99K/yr

Contractor

Re-posted 28 days ago


Job description


End client: The Ohio State University (OSU)
Job title: Senior Data Analyst
Type: Contract / C2C (temporary)
Senior Data Analyst. Our client has a contract need for aÂSenior Data Analystto assist with their project to implement the Workday ERP system. The Business Process teams across the project are currently working with stakeholders to identify and define the most important data elements to build an enterprise data dictionary and catalog of reports and data assets. Scope of this work includes the upcoming Workday implementation but also historical data that needs to be preserved from legacy systems that are being retired and stored within the client's data lake environment.Position Details / Responsibilities:
  • The Data Governance team is leading the implementation of a data cataloging tool in partnership with other units. The Data & Analytics team is seeking a resource that will be engaged in hands-on and in-person metadata collection effort across the Business Process teams, the Data Conversion team, and the Data & Analytics team, in building and managing a catalog of datasets, critical data elements and report information.
  • Thus, the resource must demonstrate excellent communication and people management skills in delivering and managing information and user expectations.
  • In partnership with the Data & Analytics team, the Conversion team, and the Business Process (BP) teams, the Data Analyst will collect, review and manage detailed information from the stakeholder community on data assets, reports and critical data elements and follow up on completion of definitions for these data elements.
  • Collate this information into a repository (JIRA).
  • Work with the Data Governance team to load data elements, definitions and report specification into universityâs enterprise repository.
  • Manage the data elementsâ drafting process and the approval process by designated data stewards.
  • Serve as the primary point of contact for the project teams with regards to critical data elements.
  • Responsible for maintaining JIRA items, dashboards, and overall status of the data element identification and definition.
  • Creates and produces a weekly data element status report to the Data Governance team lead.
  • Supports Business Process and functional team data cleansing activities by querying and summarizing data, tracking progress and monitoring ongoing data cleanliness.
  • Assists in deployment of a data cataloging/data governance tool.
  • Job Duty Percentages:
    • Support for Data Catalog: 80%
    • Support for Data Quality: 20%
Required Qualifications:
  • Must possess excellent communication skills and have deep experience working with many varied user groups simultaneously
  • 6 years as a business/data analyst querying data and working with user groups to collect, collate, and document data assets as well as data element definitions
  • Demonstrated experience with organizational planning, and tracking skills
  • Must possess excellent interpersonal and relationship building skills
  • Strong query skills and demonstrated knowledge of databases, systems, and SQL concepts
  • Some experience with a Business Intelligence tool like Tableau
Desired Qualifications:
  • Experience working in a Higher Education environment
  • Experience with data cataloging or business glossary/data dictionary tools
  • Experience in creating dashboards to manage data quality
  • Experience in a previous system migration projects
  • Experience with Jira