Business Systems & Data Analyst

Role Overview

The Business Systems & Data Analyst works cross-functionally to improve how Cobalt Truck Equipment uses business processes, systems, and data. This role partners with department leaders and employees to understand current workflows, identify process and data defects, improve existing solutions, and help evaluate or implement replacement solutions when current processes or systems no longer meet the needs of the business.

What You Will Do

Key responsibilities include partnering with leaders to understand business processes, documenting current-state workflows, performing root-cause analysis, recommending practical improvements, and translating business needs into clear requirements for system changes.

Why It Might Be a Fit

The ideal candidate will have a demonstrated ability to gather requirements, analyze business processes, identify root causes, and translate business questions into actionable analysis or system improvements.

Requirements

• Bachelor’s degree in Business Analytics, Information Systems, Management Information Systems, Data Analytics, Business Administration, or a related field
• Two (2) or more years of relevant experience in business analysis, data analysis, business intelligence, business systems, process improvement, or a related discipline
• Demonstrated ability to gather requirements, analyze business processes, identify root causes, and translate business questions into actionable analysis or system improvements
• Experience developing reports, dashboards, data models, or business intelligence solutions used to support operational decision-making
• Working knowledge of relational data and SQL, including the ability to query, join, aggregate, and interpret data from business systems
• Strong written and verbal communication skills with the ability to work effectively with technical and non-technical employees across departments
• Ability to organize ambiguous problems, manage multiple improvement efforts, document findings clearly, and follow changes through testing and validation

Benefits

• Medical, dental and vision
• Employer paid life insurance and short and long term disability
• Flexible spending and health savings accounts
• Retirement plan with up to 5% company match
• Paid time off
• Paid holidays

Tagged as: Data Analysis