Data Analyst

Flint Global Solutions; Columbus (OH); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Employer retirement contributions

Professional development

Job summary

Flint Global Solutions in Columbus, OH is seeking a Data Analyst to analyze large datasets, build dashboards, and develop data models. You will collaborate with data scientists, analysts, and engineers in a modern workspace to deliver actionable insights and data solutions for business decisions.

The role requires a Bachelor's in data-related field and strong SQL, Python, and R skills, plus experience with Tableau or Power BI.

Qualifications

• Bachelor's degree in a data-related field.
• Proficiency in SQL, Python, and R.
• Experience with data visualization tools.

Responsibilities

• Analyze large datasets to identify trends and patterns.
• Create and maintain data visualizations and dashboards.
• Develop and implement data models and algorithms.
• Collaborate with cross-functional teams to understand business needs and deliver data solutions.
• Communicate findings and insights to stakeholders.
• Continuously improve data processes and workflows.

Skills

SQL

Python

R

Analytical thinking

Education

Bachelor's degree in Data Science/Statistics/related field

Tools

Tableau

Power BI

Job description

Flint Global Solutions seeks a Data Analyst in Columbus, OH, for a FULL_TIME position. The salary is negotiable, and the role is open until November 22, 2026.

As a Data Analyst, you will analyze data to create reports and visualizations. You'll also assist in developing and implementing data models, and provide insights to support business decisions.

You will collaborate with a team of data professionals in a dynamic and modern workspace located in Columbus, Ohio. The environment is designed to encourage innovation and creativity, featuring state-of-the-art technology and comfortable amenities. The team consists of data scientists, analysts, and engineers who work together to solve complex problems and drive business decisions. The workplace is open and welcoming, with plenty of opportunities for informal interactions and knowledge sharing. The modern facilities include a café, a fitness center, and a co-working space, making it an ideal place for both work and relaxation. The collaborative atmosphere fosters a sense of community and mutual support, helping team members to thrive and grow in their careers.

The salary for this position is negotiable, and the benefits package includes comprehensive health insurance, retirement plans with employer contributions, and opportunities for professional development. Employees can also access additional perks such as flexible work arrangements, wellness programs, and access to a variety of training and certification courses. The company is committed to supporting the growth and well-being of its employees, providing a supportive and inclusive work environment.

You should have a Bachelor's degree in Data Science, Statistics, or a related field. Experience with SQL, Python, and data visualization tools is required. Strong analytical and problem-solving skills are essential.

Interested candidates are invited to submit their resumes and a cover letter to [e-mail] by November 22, 2026. This is an opportunity for qualified individuals to join our team and contribute to our ongoing projects. The cover letter should highlight your relevant experience and skills, as well as your enthusiasm for the role. The resume should be well-organized and include your contact information, education, work history, and any other pertinent details. Applicants should ensure that their submissions are complete and error-free.

Flint Global Solutions values diversity and is committed to creating an inclusive work environment. We encourage all qualified candidates to apply, regardless of their background or experience level.

What You Will Do:

• Analyze large datasets to identify trends and patterns
• Create and maintain data visualizations and dashboards
• Develop and implement data models and algorithms
• Collaborate with cross-functional teams to understand business needs and deliver data solutions
• Communicate findings and insights to stakeholders
• Continuously improve data processes and workflows

What You Bring:

• Bachelor's degree in Statistics, Computer Science, or a related field
• 2+ years of experience in data analysis
• Proficiency in SQL, Python, and R
• Experience with data visualization tools like Tableau or Power BI
• Strong problem-solving and critical thinking skills
• Excellent communication and collaboration skills