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Junior Bi Developer Jobs in Ohio (NOW HIRING)

... our junior consultants to ensure their success and enhance their learning to be successful in ... Net • VBA Developer/Reporting Analyst • BI (Business Objects, Cognos, Hyperion). • Microsoft ...

You will have the opportunity to mentor junior staff, review and approve deliverables, and serves ... Bi-annual profit sharing * Employee Ownership Stock Plan (ESOP) * 401K retirement plan * Life ...

You will have the opportunity to mentor junior staff, review and approve deliverables, and serves ... Bi-annual profit sharing * Employee Ownership Stock Plan (ESOP) * 401K retirement plan * Life ...

You will have the opportunity to mentor junior staff, review and approve deliverables, and serves ... Bi-annual profit sharing * Employee Ownership Stock Plan (ESOP) * 401K retirement plan * Life ...

Provide mentoring to junior engineers * Participate in retrospective reviews * Participate in the ... Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) #LI-AB1 Pay Transparency and Benefits

Oracle Apps Techno functional

Dayton, OH · On-site

$58.25 - $80.50/hr

Oracle Apps Jr. Techno Functional Analyst Location: Dayton, OH Duration: Contract to Hire VISA :US ... US Citizen Only * 6+ years in IT as analyst or developer * 5+ years Oracle E-Business Suite, with ...

Showing results 21-40

Junior Bi Developer information

See Ohio salary details

$22.8K

$84.6K

$130.7K

How much do junior bi developer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for junior bi developer in Ohio is $84,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $82,700.00 per year, depending on experience, location, and employer.

What is a junior BI developer?

Junior BI Developers are entry-level professionals who assist in designing, developing, and maintaining business intelligence solutions. They work with data, create reports and dashboards, and help organizations make data-driven decisions. Their responsibilities typically include data analysis, report generation, and supporting senior BI developers in implementing data models and ETL processes. Junior BI Developers often use tools like Power BI, Tableau, or SQL to extract and visualize data. This role is a great starting point for a career in data analytics or business intelligence.

What are the key skills and qualifications needed to thrive as a junior BI developer?

To thrive as a Junior BI Developer, you need a solid understanding of data analysis, SQL, and database concepts, often supported by a degree in computer science or a related field. Familiarity with BI tools like Power BI, Tableau, or SSRS, and basic knowledge of ETL processes and data warehousing are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data and collaborate with stakeholders. These skills are essential for delivering accurate business insights and supporting data-driven decision-making within an organization.

What types of projects and responsibilities can a junior BI developer expect in their first year?

As a Junior BI Developer, you can expect to work on tasks such as developing and maintaining basic reports and dashboards, cleaning and transforming data, and supporting senior team members with larger analytics projects. You'll likely collaborate closely with data analysts, database administrators, and business stakeholders to understand reporting requirements and deliver actionable insights. Early on, you'll gain hands-on experience with BI tools like Power BI or Tableau and SQL, while developing your problem-solving and communication skills in a supportive team environment. Over time, you'll be able to take on more complex projects as your technical skills and business understanding grow.

What is the difference between Junior BI Developer vs Data Analyst?

AspectJunior BI DeveloperData Analyst
Required SkillsSQL, BI tools, data modelingExcel, SQL, data visualization
Work EnvironmentBusiness intelligence teams, IT departmentsData teams, business units
CertificationsBI certifications (e.g., Microsoft, Tableau)Data analysis certifications (e.g., Google Data Analytics)
Industry UsageReporting, dashboard development, data integrationData interpretation, reporting, insights generation

Junior BI Developers focus on building and maintaining business intelligence solutions, dashboards, and data models, often working closely with IT. Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL and data visualization skills, Junior BI Developers are more involved in technical development within BI tools, whereas Data Analysts focus on analyzing data to inform strategies.

What are the most commonly searched types of Bi Developer jobs in Ohio?

The most popular types of Bi Developer jobs in Ohio are:

What job categories do people searching Junior Bi Developer jobs in Ohio look for?

The top searched job categories for Junior Bi Developer jobs in Ohio are:

What cities in Ohio are hiring for Junior Bi Developer jobs?

Cities in Ohio with the most Junior Bi Developer job openings:

Infographic showing various Junior Bi Developer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $84,589 per year, or $40.7 per hour.

Lead Data Engineer (Senior Programmer/Analyst)

STAFFXPERT LLC

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 17 days ago


Job description

Job Title Lead Data Engineer (Senior Programmer/Analyst)

Location Columbus, OH (Onsite)

Job Summary

STAFFXPERT LLC is seeking a Lead Data Engineer on behalf of our client in Columbus, OH. This role is ideal for a highly skilled data professional with extensive experience designing, building, and optimizing enterprise-scale data pipelines and data platforms. The successful candidate will work closely with business stakeholders, data scientists, analysts, and governance teams to deliver scalable data solutions that support analytics, reporting, and data-driven decision-making.

This position requires strong expertise in modern data engineering practices, cloud-based technologies, data architecture, and large-scale data integration.


Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines and data integration solutions.

  • Architect and implement enterprise data platforms that support business intelligence, analytics, and data science initiatives.

  • Collaborate with data scientists, business analysts, and stakeholders to gather requirements and deliver data solutions aligned with business objectives.

  • Build, optimize, and manage data ingestion, transformation, and processing workflows across diverse data sources.

  • Ensure data quality, consistency, governance, and compliance across data assets.

  • Partner with data governance teams to promote reusable and governed data products.

  • Implement data testing, monitoring, and performance optimization strategies.

  • Support DevOps and CI/CD practices, including version control, automated testing, deployment, and release management.

  • Mentor junior team members and provide technical leadership across projects.

  • Lead cross-functional initiatives and contribute to enterprise data strategy and best practices.


Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.

  • 7+ years of experience in Data Engineering, Data Integration, Data Management, or related disciplines.

  • 7+ years of hands-on experience with database development, SQL programming, ETL/ELT processes, and advanced analytics environments.

  • Strong experience designing, building, and optimizing large-scale data pipelines and data architectures.

  • Experience working with large, complex, and heterogeneous datasets.

  • Solid understanding of data modeling, data governance, data quality, and data management best practices.

  • Experience with cloud-based data engineering technologies and platforms.

  • Knowledge of DevOps methodologies, CI/CD pipelines, version control systems, and automated testing practices.

  • Strong analytical, problem-solving, and communication skills.

  • Proven ability to lead initiatives and collaborate effectively with technical and non-technical stakeholders.


Preferred Qualifications

  • Master’s degree in Computer Science, Statistics, Data Science, or a related field.

  • Hands-on experience with data testing and validation frameworks.

  • Experience with data preparation and data wrangling tools.

  • Strong experience with AWS data engineering services, including AWS Glue, AWS Lambda, Amazon Athena, Amazon S3, and Amazon Redshift.

  • Experience with business intelligence and reporting tools such as Power BI, Tableau, or similar platforms.

  • Familiarity with open-source and commercial data science platforms.

  • Experience working in Agile delivery environments.

  • Demonstrated success leading cross-functional teams and mentoring junior professionals.

  • Experience within the Financial Services, Banking, Insurance, or FinTech industry is highly preferred.