Business Data Consultant

Logistics Management Institute

2d•$82,000 - $158,000

About The Position

LMI is seeking a Business Data Consultant to support a Department of Veterans Affairs technology modernization program. This position supports VA’s Call Center Modernization initiative by designing, developing, and delivering Power BI data models and analytics using a variety of data sources to enable the documentation and analysis of contact center operations. The role focuses on using data to reveal business process support, technology performance, and system overlap across VA call centers. As part of LMI’s contact center design team, you will be supporting the development of current state Business Process Hierarchies, Value Stream Maps, and Service Blueprints across VA contact centers while offering data-driven insights into opportunities for future system integration, automation, and resource optimization. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Requirements

Bachelor’s (or higher) degree from an accredited college or university in a data-related field of study (ex. data science, business, data engineering).
At least 2-3 years hands-on Power BI development experience in multi-source data environments; demonstrating proficiency with data modeling, ETL and DAX for advanced calculations and performance optimization.
Strong SQL skills for data validation and troubleshooting.
Demonstrated ability to translate multi-source technical data into executive-level insights and visuals.
Strong problem-solving skills and comfort working in ambiguous or evolving problem spaces.
Ability to learn new tools, frameworks, and technologies quickly and apply them effectively.
Proven track record of independent work and ownership of analytical projects.
Ability to collaborate with project teams to transform data into simplified, meaningful, and actionable visualizations for non-technical stakeholders.
Ability to pass a VA public trust background investigation.

Nice To Haves

Familiarity with contact center operations and performance
Experience working with call center, CRM, or telephony data, including Cisco, Genesys Cloud CX, Microsoft Dynamics 365, or Salesforce Service Cloud
Familiarity with Section 508 compliance requirements and accessibility standards for cloud-based technologies.
Experience with MS SQL Server, Databricks, or Azure analytics services.
Willingness to challenge existing data visualization approaches and push boundaries while maintaining methodological soundness to deliver value.

Responsibilities

Develop repeatable data ingestion and transformation logic to standardize and prepare data for analytics
Design, rapidly prototype, and implement one or more Power BI semantic models integrating multiple contact center technologies and CRM platforms.
Build and maintain Power Query (M) pipelines to transform raw and conditioned data into standardized fact and dimension tables.
Incorporate DAX measures for call center KPIs (ex. AHT, ASA, abandonment, CSAT, volume, etc.) that support process analysis, value stream analysis, and service blueprint development.
Create user friendly dashboards and visualizations that show (at a minimum): Which business processes are supported at each call center Which technologies support each channel and process Where technology overlap or redundancy exists
Optimize Power BI models for performance, scalability, and refresh reliability.
Document data models, metrics, and ETL logic for stakeholders.
Coordinate Section 508 compliance tracking between Genesys and VA, ensuring deliverables meet VA accessibility requirements.
Assess design team and customer data needs and help find ways to add value.

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