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Implementation BI Solutions Consultant

Job in Northern, Floyd County, Kentucky, USA
Listing for: Jobless
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Business Systems & Technology Analysis, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Northern

As a BI Solutions Consultant on our Implementation Team, you'll play a pivotal role in shaping the future of business intelligence for leading organizations. This is your opportunity to work with innovative technologies and collaborate with some of the brightest minds in the industry. You'll leverage your expertise in ERP systems and the Microsoft technology stack, including T-SQL coding and Power BI data modeling, to deliver high-impact solutions that empower our clients to make smarter, data-driven decisions.

In this role, you'll also get hands-on experience with cutting-edge cloud Lakehouse environments, such as Databricks and Microsoft Fabric, enabling you to design and implement modern data architectures that drive scalability, performance, and advanced analytics capabilities.

What You'll Do
  • Lead BI Implementations:
    Install and configure the Quick Launch product and Microsoft BI components, including SQL Database Views, Power BI Premium Datasets, Paginated Reports, and interactive Power BI dashboards.
  • Drive Client Success:
    Conduct solution review sessions with customers and validate Quick Launch
    implementations.
  • Build Data Pipelines:
    Configure ETL solutions using Databricks
    or Microsoft Fabric
    to enable efficient data integration and transformation.
  • Enable Analytics Excellence:
    Create and secure Power BI work spaces and educate customers on best practices for content management and governance.
  • Deliver Exceptional Experiences:
    Work directly with customers in a remote setting, prioritizing a positive, high-quality client experience at every step.
Who You Are
  • 3+ years of experience working on Business Intelligence and Analytics related projects using Microsoft BI technologies
  • In-depth knowledge of T-SQL, Microsoft BI Solutions including paginated reports, data models in Power BI or SSAS Tabular Models
  • Knowledge of JD Edwards, Viewpoint, One Stream, Salesforce, or other large complex ERP environments
  • In-depth knowledge of reporting/business intelligence applications
  • Experience using Pivot tables
  • Problem-solving and communication skills, with the ability to express complex technical concepts in business terms
  • Ability and desire to work in fast-paced, collaborative team environment
  • Education – Bachelor's degree required;
    Computer Science, MIS, Engineering, Business Administration, or related discipline is preferred, but not required.
Bonus Points
  • Exposure to ETL, ideally Databricks
  • Familiarity with Microsoft Fabric Lakehouse, Microsoft Fabric Warehouse, and Microsoft Data Pipelines is a huge plus but not required.
  • Experience on the business side of reporting and analytics (i.e. familiarity with income statements, balance sheets, or other financial statements).
Working Location

:
Remote OR in Santa Cruz County, CA office

Compensation:

The estimated base salary range for this role is $,000. There is also an opportunity for a discretionary bonus.

About Us:

At Quick Launch Analytics our purpose is to simplify the often-complex world of data analytics. For over 20 years, we've helped 250+ companies make better decisions by delivering a comprehensive platform that centralizes and transforms data ecosystems into a unified enterprise-wide foundation for trusted information.

We're a team of 35+ professionals with deep expertise in Power BI, Databricks, and Azure Cloud. Our culture is built on ownership, collaboration, and continuous learning-reflected in our world-class Net Promoter Scores from both customers and team members.

If you're passionate about analytics and want to work with talented people who genuinely enjoy solving complex data challenges, we'd love to hear from you.

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