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Data Dimensions Jobs in Ohio (NOW HIRING)

Data Modeler

Columbus, OH ยท On-site

$51.25 - $66.25/hr

... dimensions/entities. ยท The role involves working closely with data engineers, architects, and business stakeholders to ensure data integration, transformation and loading processes within the cloud ...

New

Data Domain Architect Senior Associate

Columbus, OH ยท On-site

$65 - $87/hr

As a Data Domain Architect, Senior Associate within the Workforce CoE and act as the accountable ... dimensions , semantic layer enablement , and governance-by-design . Success in this role depends on ...

Data Engineer

Columbus, OH ยท On-site

$107K - $128K/yr

Strong understanding of data warehouse architecture and modeling patterns: star schemas, slowly changing dimensions, incremental models, and when to apply each. * Deep fluency with Cloud Data ...

Data Architect (P4642)

Cincinnati, OH ยท On-site

$61.25 - $78.75/hr

Architect AI-ready data platforms that support both transactional and analytical workloads, with an emphasis on data product design, conformed dimensions, and patterns that accelerate AI and ML ...

Deep knowledge of 'dimensions of data quality' and experience in applying them to business data. * Strong understanding of financial products (e.g., loans, deposits, & investments). * Proficiency in ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

What are popular job titles related to Data Dimensions jobs in Ohio?

For Data Dimensions jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Data Dimensions job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Data Modeler

Columbus, OH โ€ข On-site

$51.25 - $66.25/hr

Other

Posted 3 days ago

New


Job description

Position: Data Modeler

Location: Columbus OH

All 5 Days Onsite

Job Requirements: 

ยท       We are seeking a Data Modeling developer responsible for Define entities, relationships, and keys (primary/foreign keys) and document cardinalities.

ยท   Able to specify table grain (row-level meaning) for each fact/event/feature table, create dimension tables with consistent codes, descriptions, and hierarchy attributes where applicable and create fact/event tables with measures, timestamps, and join keys to relevant dimensions/entities.

ยท       The role involves working closely with data engineers, architects, and business stakeholders to ensure data integration, transformation and loading processes within the cloud environment.

ยท       Define entities, relationships, and keys (primary/foreign keys) and document cardinalities, Specify table grain (row-level meaning) for each fact/event/feature table

ยท       Create dimension tables with consistent codes, descriptions, and hierarchy attributes where applicable, Create fact/event tables with measures, timestamps, and join keys to relevant dimensions/entities, Represent time using standard date/time fields and, when needed, effective start/end dates for history Standardize naming conventions, data types, units, and allowed values (domains) across models, Add metadata and documentation (field definitions, source system, refresh cadence, owner)Implement basic validation checks (nullability, uniqueness, referential integrity, value ranges), Design outputs for common access patterns (joins, filters, aggregations) used by OLAP and AI pipelines

ยท       Maintain versioning/change history for models and update downstream dependencies when schemas change, Optimize the models for performance of AI/BI use cases Good understanding of Databricks concepts.

ยท       Good understanding of tools like Erwin

Work Experience: 7-10Years

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