Supply Chain Data Transformation Consultant

Our Deloitte Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to deliver holistic performance improvement and digital transformation. Join our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions.

Work You’ll Do

As a Project Consultant you will:

• Engage with functional stakeholders to understand business questions, analytical needs, and decision making priorities by interpreting and synthesizing analytical findings into clear narratives, insights, and recommendations for non technical audiences.
• Translate stakeholder needs into clearly defined analytical problem statements, metrics, and data requirements. 
• Work with various analytical tool and dashboard owners throughout the Department to understand varying data requirements, utilizing those insights to build requirements for a uniform supply chain risk database.
• Navigate and query relational databases, with an emphasis on analytics environments within Advana / Databricks. 
• Use SQL and Python (e.g., pandas, SQLAlchemy) to extract, transform, validate, and analyze data across multiple datasets. 
• Develop and maintain interactive dashboards using Qlik Sense / QlikView (or comparable BI tools) to deliver actionable insights (define KPIs, dashboard layouts, and data refresh schedules aligned to mission and stakeholder priorities)

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The Team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Supply Chain & Network Operations offering advises, implements, and operates transformational solutions that bring world class supply network capabilities.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

• Bachelor’s degree
• Active Secret security clearance required
• Ability to work on-site in Alexandria, VA up to 5 days/week (typical week 2–3 days on-site)
• 2+ years' experience in business analysis, data analytics, or a related analytical role
• 2+ years’ experience programming with a combination of Python and SQL
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred: 

• Experience in Supply Chain Risk Management (SCRM)
• Experience building or supporting dashboards/metrics for operational or executive audiences. 
• Experience managing and analyzing datasets within the DoD Advana platform (Databricks / Qlik)
• Experience with requirements management or project tracking tools such as Jira, Azure DevOps, or Rally
• Experience with version control (Git), CI/CD concepts, and basic data QA techniques
• Experience with data modeling concepts (e.g., star and snowflake schemas, normalization)
• Experience supporting defense, acquisition, logistics, or national security stakeholders in an analytical or advisory capacity