Consultant, Data Specialist

Ducker Carlisle•Boston, MA

1d•Hybrid

About The Position

We are a boutique firm with a global footprint serving some of the world’s largest companies. You will have the opportunity to meaningfully impact work across the firm and collaborate with client teams and colleagues across the globe. We strongly encourage growth within the organization and support career planning as part of our performance management process. We value and recognize our employees’ hard work through Project of the Quarter, employee shoutouts, and regular performance reviews. Collaboration and inclusivity are at the core of our culture. We host frequent social events, organize local volunteer opportunities, and offer hybrid work schedules. Our employees can access a competitive benefits package including 20 days of paid time off/year, 401(k) matching, and medical, dental and vision insurance. Consultants play an integral role within our project teams. Consultants are responsible for structuring and executing analyses that support project objectives and are typically assigned to one or two project teams simultaneously. As a Consultant at Ducker Carlisle, your work will be rigorous, and its impact will be evident. You will have exposure to client facing opportunities. You can expect to learn, be challenged, and be encouraged to grow and develop throughout your career.

Requirements

Bachelor’s degree in engineering, supply chain, operations, economics, mathematics, statistics, data analytics, computer science, or a related quantitative discipline with a strong academic record
2 + years of professional experience performing analytics within supply chain, inventory, procurement, manufacturing, logistics, or a closely related operations environment
Demonstrated experience using data to solve inventory, procurement, or other supply chain business problems
Strong analytical and problem-solving skills, including experience working with large and imperfect datasets, data modeling, and data visualization
Advanced proficiency in Excel
Excellent written and verbal communication skills, with the ability to summarize complex analysis clearly and professionally
High attention to detail and ability to produce client-ready work
Strong organizational, multi-tasking, and time management skills
Willingness to travel as needed for client engagements

Nice To Haves

expertise in Python, R, SQL, or other statistical tools is preferred

Responsibilities

Build data models and conduct quantitative analyses to evaluate inventory, procurement, cost, service, and operational performance
Clean, structure, validate, and reconcile large datasets from multiple client sources
Analyze datasets to identify trends, root causes, performance gaps, and improvement recommendations for clients
Develop repeatable analytical tools and models to support scenario analysis and client decision-making
Develop data visualizations, dashboards, and other analytical outputs
Translate complex analysis into clear insights, implications, and recommended actions
Present findings to clients and to senior consulting staff
Manage assigned analytical workstreams, including analysis planning, progress tracking, quality control, and timely completion of deliverables
Collaborate with project teams in a fast-paced consulting environment