Implementation BI Solutions Consultant

QUICKLAUNCH, INC.
United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$100,000.0 - $130,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Data Integration Extract Transform Load (ETL) JD Edwards EnterpriseOne Microsoft Data Access Components Pivot Tables Power BI OneStream Salesforce.Com SQL Databases Transact-SQL Microsoft Fabric
+4 more
Information Technology Data Pipelines Ssas Tabular Databricks

Job description

  • Lead BI Implementations: Install and configure the QuickLaunch 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 QuickLaunch 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 workspaces and educate customers on best practices for content management and governance.

Requirements

  • 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, OneStream, 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)

Benefits & conditions

Compensation: The estimated base salary range for this role is $100,000-130,000. There is also an opportunity for a discretionary bonus.

About the company

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., At QuickLaunch 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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