Data and Analytics Manager

EAGLE HILL CONSULTING LLC•Arlington, VA

9d•$117,000 - $140,000•Onsite

About The Position

Eagle Hill is seeking a Data and Analytics Manager to fill potential project roles for our U.S. Customs and Border Protection (CBP) client. These projects will focus on data and analytics, enterprise data modernization, business intelligence, systems integration, automation, and business process improvement. Applicants must be willing and able to work on client sites within the Washington, DC metro area on a daily basis, or as required by the client. These roles combine hands-on data and technology expertise with strong consulting and leadership skills to translate client needs into practical, user-focused solutions. The Data and Analytics Manager will work directly with clients to design and deliver solutions across data modernization, governance, business intelligence, automation, systems integration, and process improvement that strengthen decision-making, improve efficiency, and create measurable client impact. At Eagle Hill, consultants grow their technical and consulting skills through hands-on project delivery and client-facing work. Managers are expected to build trusted client relationships, lead projects and workstreams, lead technical solution development, and deliver high-quality outcomes that create measurable client impact.

Requirements

Bachelor’s Degree
Minimum of 5 years of relevant professional experience
Experience designing, developing, or implementing data and analytics solutions, which may include data pipelines, ETL/ELT processes, data integrations, data warehouses, data lakes, business intelligence, or reporting solutions
Experience integrating or working with data from APIs, ERP systems, databases, or other enterprise platforms
Experience developing data, analytics, automation, or workflow solutions using technologies such as Power Platform (Power Automate, Power BI, Fabric, etc.), Python, SQL, or similar tools
Experience creating and applying data quality, governance, lineage, or master/reference data management practices to support reliable and effective data solutions
Experience translating business needs into technical requirements and independently leading technical projects or workstreams from requirements through implementation
Experience managing client relationships and collaborating across technical and business stakeholder groups, including supporting implementation and adoption of new solutions
Strong analytical, problem-solving, troubleshooting, communication, and organizational skills, with the ability to manage multiple priorities and work collaboratively in a fast-paced consulting environment
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Ability to successfully obtain and retain a CBP Background Investigation (BI), as well as any other background investigations required to perform client work

Nice To Haves

Experience with SQL and/or NoSQL databases, data modeling, and cloud-based data and analytics platforms
Experience with data engineering and orchestration tools such as Azure Data Factory, Airflow, dbt, Spark, or Databricks
Experience designing or optimizing data warehouse, data lake, or lakehouse architectures to support analytics, reporting, or AI use cases
Experience developing and deploying workflow automation or RPA solutions for manual, rules-based business processes
Experience developing or implementing enterprise data governance frameworks, including data quality, lineage, and master/reference data management
Experience supporting enterprise-wide technology implementations or transformation initiatives across multiple business units or divisions
Experience supporting AI/ML data environments and advanced analytics initiatives
Experience supporting federal or public sector clients
Microsoft Certifications, such as: Power Platform Functional Consultant Associate PL-200, Power Platform Fundamentals PL-900, Power BI Data Analyst Associate PL-300, Fabric Data Engineer Associate DP-700

Responsibilities

Build trusted client relationships and advise stakeholders on data, analytics, technology, automation, and business process improvement solutions.
Partner with business stakeholders and data owners to understand desired business outcomes and translate business needs into functional and technical requirements, including data mappings, business rules, reference data, and system changes.
Design, build, integrate, and optimize data and analytics solutions that may include data warehouses, data lakes, data pipelines, APIs, ERP data, and internal or third-party data sources.
Develop dashboards, reporting tools, applications, and automated workflows that improve data accessibility, decision-making, operational efficiency, and user experience.
Identify opportunities to automate and improve business processes and support the design and implementation of workflow automation, RPA, or other technology solutions.
Implement data quality, governance, monitoring, and error-handling controls to ensure solutions are reliable, maintainable, and scalable.
Lead technical projects and workstreams from requirements through implementation and adoption, coordinating team members and engaging stakeholders throughout documentation, testing, deployment, communications, training, and user support.
Develop and mentor junior team members and lead and/or contribute to business development activities.