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Data Solution Analyst Jobs Near Me

centralins

Data Analyst

Dublin, OH · Hybrid

You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality ...

BakerHostetler

Data Solutions Engineer

Columbus, OH · On-site

$110K - $132K/yr

This role works across the data lifecycle, including data analysis, data modeling, data ... solutions development and business intelligence needs. • Design and develop scalable and ...

CESO, Inc.

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

This position develops scalable, secure, and governed data solutions that support reporting, analytics, operational excellence, and AI initiatives. The Data Architect translates business requirements ...

CapTech Consulting

Data Analyst

Columbus, OH · On-site

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a ...

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How much do data solution analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data solution analyst in the United States is $104,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $123,000.00 per year, depending on experience, location, and employer.
Data Solution Analyst jobs near you
A map of the United States highlighting the number of Data Solution Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Solution Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Solution Analyst / Data Modeling Expert

Columbus, OH • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees
Learn more about MDAEdgeexternal

Full-time

Re-posted 18 days ago

Job description

Job Summary:
MDAEdge is seeking a Data Solution Analyst who will be responsible for translating functional data and analytical requirements into scalable solutions. The role involves crafting innovative data models and visualizations to enable actionable insights while guiding others in implementing self-service reporting and analytics techniques.
Responsibilities:
• Design and implement logical and physical data models for analytical data stores (e.g., Data Warehouses, Data Lakes).
• Collaborate with business analysts, data engineers, and other stakeholders to understand data requirements and create effective data structures.
• Conduct data profiling, quality assessments, and cleansing activities to ensure high data integrity.
• Develop and maintain Source-to-Target mapping documents, detailing complex data transformations and integrations.
• Ensure compliance with data governance and security policies, while adhering to best practices.
• Provide mentorship and technical guidance to junior team members, including data modelers and data engineers.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of 5 years of experience in data modeling, covering the entire development lifecycle (requirements to deployment).
• At least 2 years of experience in designing data structures for Data Warehouses, Data Lakes, or Analytical systems.
• Strong proficiency in data modeling tools, such as ER/Studio, Erwin, or PowerDesigner.
• Proven experience in data analysis and profiling, with at least 5 years in the field.
• Proficiency in SQL and experience with database management systems (e.g., Oracle, SQL Server, MySQL).
• Exceptional problem-solving skills and keen attention to detail.
• Strong ability to resolve issues by forming and leading cross-functional teams.
• Excellent communication and collaboration skills, with proven success in facilitation and consensus-building.
Preferred:
• Experience with data integration tools such as Informatica or Talend.
• Knowledge of DevOps and DataOps practices.
• Familiarity with data governance frameworks and methodologies.
• Relevant certifications in data management or modeling (e.g., CDMP, DAMA).
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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