Strategic Business Analyst — Data & Process Optimization

DLN Consulting Group; Clayton (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

DLN Consulting Group seeks a data-driven Business Analyst to help clients optimize operations, technology, and workflows. You will analyze client data, map processes, and work directly with leadership teams to design practical, structured business solutions.

Responsibilities include gathering requirements, optimizing workflows, building data dashboards, and acting as a bridge between executives, operations, and technical staff. Strong communication and data tooling are essential.

Qualifications

• Bachelor’s degree in Business, Information Systems, Supply Chain, or related field.
• 2+ years of experience in business analysis or operations consulting.
• Proficient with data tools (Excel, Power BI/Tableau) and process mapping.
• Excellent written and verbal communication skills; comfortable presenting to clients.

Responsibilities

• Gather Requirements: Interview client stakeholders to collect and document clear business and technical needs.
• Optimize Workflows: Map out current operational processes, find bottlenecks, and design more efficient ways of working.
• Analyze Data: Build reports, spreadsheets, and data dashboards to support our consulting recommendations with hard facts.
• Bridge Communication: Act as the clear link between business executives, operations teams, and technical implementation staff.
• Support Implementation: Help track project timelines and guide client staff through organizational changes.

Skills

Data analysis

Communication

Business analysis

Process mapping

Education

Bachelor’s degree in Business/Info Systems/Supply Chain

Tools

Excel

Power BI

Tableau

Job description

DLN Consulting Group seeks a data-driven Business Analyst to help clients optimize operations, technology, and workflows. You will analyze client data, map processes, and work directly with leadership teams to design practical, structured business solutions.

Responsibilities include gathering requirements, optimizing workflows, building data dashboards, and acting as a bridge between executives, operations, and technical staff. Strong communication and data tooling are essential.