Developer, Business Intelligence

JOB DESCRIPTION

Title:

• BI Developer - Operations Business Intelligence

Max Bill Rate:

• *

Interview Process:

• Teams

Summary:

• WM is seeking a versatile BI Developer to join our Operations Business Intelligence team. This role is centered on delivering high-impact Power BI reporting that turns raw data into actionable executive insights across our core operational areas: Collections, Fleet, Post Collections, and Dispatch. You will own the full lifecycle of report development-from requirements gathering with leadership through data modeling to the final presentation of polished, production-ready dashboards. The ideal candidate is a technical powerhouse who speaks the language of business and can navigate the nuances of day-to-day operations.

Responsibilities:

• Power BI Reporting & Development (Primary Focus)

Visualization Excellence:

• Design "Executive Grade" dashboards that prioritize UX/UI, ensuring that complex operational data across Collections, Fleet, Post Collections, and Dispatch is digestible and visually compelling.
• DAX & Power Query: Author advanced DAX measures and utilize Power Query (M) for sophisticated data shaping and business logic implementation.

Report Lifecycle Ownership:

• Manage the full development cycle from prototype through UAT to production deployment, ensuring quality and accuracy at every stage.
• Security & Governance: Administer Power BI workspaces and implement Row-Level Security (RLS) to ensure data is accessible only to authorized stakeholders.

Leadership & Strategic Partnership:

• Requirements Discovery: Lead collaborative sessions with senior leadership across Collections, Fleet, Post Collections, and Dispatch to define KPIs and translate business objectives into technical specifications.
• Data Storytelling: Present and demo reports to executive stakeholders, focusing on "the why" behind the data and providing recommendations based on findings.
• Agile Collaboration: Work within Azure DevOps to track stories, manage backlogs, and provide transparency into the development roadmap.

Data Engineering & Architecture:

• Fabric & Snowflake Ecosystem: Build and optimize end-to-end data pipelines leveraging MS Fabric (Lakehouse/Warehouse) and Snowflake to support real-time and batch reporting across all operational areas.

Advanced Modeling: Design, implement, and maintain robust data models (Star Schema) that ensure high performance and data integrity across the organization.

• Optimization: Perform root-cause analysis on slow-running reports; optimize SQL queries in Snowflake and DAX expressions in Power BI to ensure sub-second response times.

Required Technical Skills:

• Power BI: Expert-level proficiency (DAX, Power Query, Service).
• SQL: Expert-level SQL for complex data transformation and validation.
• Snowflake: Experience with SnowSQL, partitioning, and warehouse optimization.
• MS Fabric: Familiarity with OneLake, Data Factory, and the Fabric environment.

Required Soft Skills:

• Executive Presence: Confidence in presenting to and taking feedback from C-suite leadership.
• Curiosity: A proactive desire to understand the business operations behind the data - particularly the workflows driving Collections, Fleet, Post Collections, and Dispatch.
• Clarity: Ability to explain complex technical concepts to non-technical audiences

Preferred Qualifications:

• Experience with Azure DevOps for project tracking.
• Certification in PL-300 (Microsoft Data Analyst) or Snowflake Pro Core.
• Prior experience in a "client-facing" or "leadership-facing" internal consultancy role.
• Familiarity with *, logistics, or field operations is a plus.

Key additions:

• Opening paragraph now names all four areas as the core focus.
• Visualization Excellence references the operational data spanning those areas.
• Requirements Discovery highlights cross-functional engagement with leadership in each area.
• Curiosity (Soft Skills) ties directly to understanding the workflows behind those operations.
• Preferred Qualifications added a line about familiarity with *, logistics, or field operations