1

Data Taxonomy Jobs in Indiana (NOW HIRING)

POLYWOOD ® is looking for a Product Syndication Specialist who thrives in a data driven ... taxonomy, attribute, and digital asset requirements. • Support product launches, catalog updates ...

... sites, taxonomy, design packages and building B2B sites Practical experience with the following ... in DB data structure definition Desired years of experience : 6 to 9 years Education ...

$85K - $110K/yr

Monitor MarTech standards, develop taxonomy, and create dashboards to facilitate data-driven decisions and ensure alignment with industry best practices * Drive the localization of global MarTech ...

... • Direct overall site taxonomy, navigation, and user experience to maximize product ... data integrity. • Lead site UX development by partnering with design, reviewing key customer ...

next page

Showing results 1-20

Data Taxonomy information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Data Science Director, or Chief Data Officer, which typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can command salaries exceeding $150,000 annually, depending on the industry and location.

How to get a job in taxonomy?

To get a job in taxonomy, develop expertise in data organization, classification, and metadata standards such as Dublin Core or schema.org. Gaining skills in data management tools, understanding industry-specific vocabularies, and obtaining relevant certifications can improve employability. Experience with data analysis and information architecture is also valuable for roles in taxonomy development and management.

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What is data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, making it easier to manage, search, and analyze. Data professionals often use standards and tools like metadata and ontologies to develop effective taxonomies for data governance and integration.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

What do you need to be a data taxonomy specialist?

A data taxonomy specialist typically needs a strong understanding of data management, classification, and metadata standards, along with skills in data modeling and taxonomy development. Proficiency in tools like Excel, SQL, or specialized taxonomy software is often required, and relevant certifications in data management or information architecture can be beneficial. Experience with data governance and collaboration with cross-functional teams also supports success in this role.

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

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.
What are popular job titles related to Data Taxonomy jobs in Indiana? For Data Taxonomy jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Taxonomy jobs? Cities in Indiana with the most Data Taxonomy job openings:
Infographic showing various Data Taxonomy job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
IN- IDOH- Database Analyst Intermediate

IN- IDOH- Database Analyst Intermediate

Conflux Systems

Indianapolis, IN • On-site

Contractor

Posted 13 days ago


Job description

Title:  Database Analyst Intermediate
Location: Remote - candidate must reside in Indiana
Duration: 9 Months
Webcam only-  Interview
Remote
 
 
Candidate must reside in Indiana.
 
Description
The MCH Helpline serves as a call center and utilizes an extensive Information and Referral (I&R)
software database as well within the Indiana 211 Partnership, Inc. platform. The Resource Database
Specialist, (RDS), performs computer system data analysis, entry and management for the MCH Helpline.
The RDS is responsible for the maintenance of the MCH integrated intake system, as well as working with
Indiana 211 Partnership, Inc. to ensure the resources in the database are up to date.
The RDS is subject to being trained in the AIRS standards (Alliance of Information and Referral Systems)
and possess the training for I&R (Information and Referral) practices utilizing within the Indiana 211
Partnership, Inc. database. The RDS will be knowledgeable in the critical areas of the taxonomy terms
that are selected to represent the service(s) in the service group.
The Resource Database Specialist will work with the MCH Helpline staff, and others to ensure that sites,
services, and their agency information are accurately reflected in the Indiana 211 Partnership, Inc.
database.
.
Essential Duties/Responsibilities:
•Working knowledge of the parameters of information contained in provider source documents.
•Ability to maintain standard production and standard accuracy rate on assigned tasks.
•Manage data exporting and importing across database systems, including experience with Tableau and
excel.
•Ability to comprehend and apply moderately complex procedures involved in the data screens.
•Ability to be detailed oriented; follow-up thoroughly on assigned tasks and projects.
•Inform Manager on status of tasks through progress reports
Manage and update the resources for the entire MCH Helpline
Utilitze the Indiana 211 Partnership, Inc. database to update provider capacity for the OB Navigation
Initiative
•Resolves discrepancies in source documents prior to entering by referring to procedures in program area
and/or consulting with the Helpline Manager.
•Responsible for utilizing I&R database system to add, update, and maintain the resource providers
active.
•Assists in producing caller data reports by various filters such as referrals, call type, needs, providers, etc
within our database.
•Minimum of two years working with database management systems or in a related field is preferred.
•Required to have an Associate's/Bachelor's degree in Human Services, Information Technology,
Informatics or a related program.
•One year of working knowledge and relevant database experience with AIRS training.
•Excellent logical and analytical skills; ability to make decisions regarding data entry information within
specific program area of work
•Highly proficient in the use of Microsoft Office 365, specifically with Excel and database software
•Knowledge of Information and Referral (I&R) standards.
•Knowledge and/or certification of AIRS (Alliance of Information and Referral Systems) standards