Business Intelligence Engineer, BPD

Bunzl Distribution NA

Business Intelligence Engineer specializing in data insights and AI technologies at a fast-growing firm. Collaborate with teams to optimize data pipelines and enhance business processes using Microsoft technologies.

Posted 6/19/2026full-timeRemote • Montana • 🇺🇸 United StatesJuniorMid-Level💰 $85,000 - $105,000 per yearWebsite

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Architect, implement, and maintain last-mile data pipelines to ensure seamless extraction, transformation, and loading (ETL) of data from diverse sources into PowerBI, Power Automate, and Power Apps.
Leverage Artificial Intelligence and LLM capabilities to drive business outcomes.
Integrate AI capabilities into existing applications and platforms via APIs, batch jobs, and event-driven workflows.
Create visually compelling and insightful dashboards and reports in PowerBI that provide actionable insights to stakeholders across the organization.
Design and build custom Power Automate/Power Apps solutions to address specific business needs, enhance user experience, and drive user adoption of data-driven applications.
Integrate machine learning models into data pipelines and frameworks, enabling predictive analytics and advanced insights.
Implement data quality checks and ensure adherence to data governance standards throughout the data pipeline, from source to visualization.
Continuously monitor and optimize the performance of data pipelines in Databricks, PowerBI reports, Power Automate workflows, and Power Apps solutions to ensure optimal efficiency and reliability.
Provide training sessions and user support to help stakeholders effectively utilize BI tools and applications.
Address user feedback and iterate on solutions to improve usability and adoption.
Work closely with cross-functional teams, including business users, data engineers, and IT professionals, to understand requirements, gather feedback, and deliver solutions that meet business objectives.
Document data pipelines, workflows, and applications, and share best practices and insights with team members to foster a culture of learning and continuous improvement.

Requirements

What you’ll need

BS/BA is required. Masters is a plus.
+2 years of business intelligence, data engineering, or related experience with a focus on Microsoft technologies is preferred.
Proven track record of simplifying large, complex problems with multiple data sources & techniques to reveal data-driven insights & actionable solutions that drive business results.
Minimal travel for training or other business needs may be required.

Benefits

Comp & perks

Medical, dental, vision, and life insurance available to employees and eligible dependents starting the first day of the month after 30 days of employment (unless otherwise specified by a collective bargaining agreement).
401(k) retirement plan with a generous company match of $0.75 per $1.00 contributed, up to 6% of eligible pay, available after 30 days.
Paid time off, including (Pro-rated based on hire date): 10 vacation days and 2 personal days annually (prorated in the first year based on hire date).
40 hours sick for exempt | 56 hours sick for non-exempt per year, in accordance with Washington State law.
6 paid national holidays and 2 floating holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLdata pipelinesmachine learningpredictive analyticsdata quality checksdata governancedata visualizationdashboardsreportingAPI integration

Soft Skills

user supporttrainingcross-functional collaborationproblem-solvingfeedback iterationcommunicationuser experience enhancementcontinuous improvementstakeholder engagementadaptability