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Junior Data Integration Analyst Jobs in Ohio (NOW HIRING)

You ensure data flows accurately across the financial technology landscape while collaborating ... You mentor junior developers, drive platform best practices, and work closely with solution ...

You ensure data flows accurately across the financial technology landscape while collaborating ... You mentor junior developers, drive platform best practices, and work closely with solution ...

You ensure data flows accurately across the financial technology landscape while collaborating ... You mentor junior developers, drive platform best practices, and work closely with solution ...

You ensure data flows accurately across the financial technology landscape while collaborating ... You mentor junior developers, drive platform best practices, and work closely with solution ...

The position combines data integration, analytics, dashboard development, business intelligence, and knowledge management to improve situational awareness and support evidence-based decision-making ...

The position combines data integration, analytics, dashboard development, business intelligence, and knowledge management to improve situational awareness and support evidence-based decision-making ...

Data VIsualization Specialist

Dayton, OH · On-site

$110K - $125K/yr

The position combines data integration, analytics, dashboard development, business intelligence, and knowledge management to improve situational awareness and support evidence-based decision-making ...

Senior Data Engineer

Beavercreek, OH · On-site

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Lead data integration, migration, and modernization initiatives, including legacy system ...

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

Showing results 21-40

Junior Data Integration Analyst information

What does a junior data integration analyst do?

A Junior Data Integration Analyst assists in connecting and consolidating data from different sources so organizations can analyze and use it effectively. They help build and maintain data pipelines, monitor data quality, and troubleshoot integration issues. This role often involves working with databases, ETL (Extract, Transform, Load) tools, and collaborating with IT and business teams to ensure data flows smoothly between systems. Junior analysts also document processes and may support more senior analysts on complex integration projects.

What are the key skills and qualifications needed to thrive as a junior data integration analyst?

To thrive as a Junior Data Integration Analyst, you need a strong understanding of data management principles, basic SQL proficiency, and typically a bachelor’s degree in computer science, information systems, or a related field. Familiarity with ETL tools (such as Talend or Informatica), data visualization platforms, and database systems is often required. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and resolve data issues efficiently. These skills ensure accurate data integration, support business intelligence efforts, and drive successful data-driven decision-making within organizations.

What are some typical challenges a junior data integration analyst might face when working on projects with multiple data sources?

As a Junior Data Integration Analyst, one common challenge is managing inconsistencies across diverse data sources, such as differences in data formats, structures, or quality. You may also encounter issues related to data mapping and transformation, which require attention to detail and strong problem-solving skills. Additionally, collaborating with cross-functional teams—like database administrators, developers, and business stakeholders—can present communication challenges, especially when aligning on project requirements and timelines. Overcoming these challenges helps build a strong foundation for career growth in data integration and analytics.

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The top searched job categories for Junior Data Integration Analyst jobs in Ohio are:

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Cities in Ohio with the most Junior Data Integration Analyst job openings:

Data Solution Analyst / Data Modeling Expert

MDAEdge

Columbus, OH • On-site

Full-time

Re-posted 13 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.