Business Intelligence Engineering Manager

Maddox Industrial Transformer•Batavia, OH

9d•$140,000 - $155,000

About The Position

You will be the manager and project lead for modernizing our BI and reporting infrastructure. You will lead the design, development, and delivery of the company’s analytics platform, data warehouse, and business reporting. This role manages the BI engineering team, sets technical standards for data modeling and metrics, and partners with business leaders to deliver accurate, timely, and actionable insights that support decision-making across Sales, Operations, Finance, and Leadership. You will be the go-to person for all business intelligence within the Maddox family. You will have intimate knowledge of our business and be able to quantify our performance by collecting data from the various systems that manage all our operations. Your work will enable us to make better decisions, more effectively prioritize our efforts, and do a better job of celebrating our wins. You will have the satisfaction of watching your colleagues be faster and smarter because of the data and training that you & your team provide them. Reactively, you will prioritize and execute on internal user requests for insights and training them on how to use all reporting. You will manage modifications to data pipelines in response to API changes. You will troubleshoot and repair faulty data flows and reports. Proactively, you will set clear priorities, standards and delivery expectations for the team getting your own hands dirty whenever needed. You will focus on quality, longevity and speed of delivery when creating views that make core business objects easy to query and business performance simple to quantify. You will implement systems & processes that provide change management and data pipeline observability. You will provide training to internal business users on the proper usage of data and reporting tools. You will be comfortable troubleshooting data integrations from source systems when required.

Requirements

You are a hands-on leader and comfortable mentoring and working with junior colleagues.
You have proven experience interacting with key stakeholders explaining technical problems in simple, easy to digest ways.
You love making businesses more efficient and scalable.
You are a fast learner and pick up new technologies and user/business contexts quickly.
You are focused and able to maintain excellent attention to detail.
Your colleagues are located all across the country, so you need to be able to communicate clearly and succinctly via phone, email, and chat.
You are comfortable with abstract thinking and domain-driven design.
You prefer a healthy team vs. operating as a lone wolf.
We are looking for someone who has been a manager of technical data or software focused teams before, preferably with 3-5+ years under their belt.
Quarterly travel to different Maddox facilities around the United States will be required.

Nice To Haves

A technical or engineering degree is helpful, but not required.

Responsibilities

Lead the design, development, and delivery of the company’s analytics platform, data warehouse, and business reporting.
Manage the BI engineering team, set technical standards for data modeling and metrics
Partner with business leaders to deliver accurate, timely, and actionable insights that support decision-making across Sales, Operations, Finance, and Leadership.
Prioritize and execute on internal user requests for insights and training them on how to use all reporting.
Manage modifications to data pipelines in response to API changes.
Troubleshoot and repair faulty data flows and reports.
Set clear priorities, standards and delivery expectations for the team getting your own hands dirty whenever needed.
Focus on quality, longevity and speed of delivery when creating views that make core business objects easy to query and business performance simple to quantify.
Implement systems & processes that provide change management and data pipeline observability.
Provide training to internal business users on the proper usage of data and reporting tools.
Troubleshoot data integrations from source systems when required.