We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
Remote New

Business Data Consultant

LMI Consulting, LLC
United States
Jan 28, 2026

Business Data Consultant
Job Locations

US-Remote




Job ID
2026-13559

# of Openings
1

Category
Data/Analytics

Benefit Type
Salaried High Fringe/Full-Time



Overview

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.



Responsibilities

Key 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.


Qualifications

Minimum Qualifications:

  • 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.

Desired Qualifications:

  • 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.

Target salary range: $82,000-$158,000

Disclaimer:

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.



LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Need help finding the right job?

We can recommend jobs specifically for you!
Click here to get started.
Applied = 0

(web-54bd5f4dd9-d2dbq)