Business Intelligence - 1st Shift

 

Logistics at full potential. 

 

At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of.

 

1st Shift, Monday - Friday, 8:00am - 5:00pm 

 

We are looking for people who can effectively identify strategies to help people and systems work smarter. As the Manager, Business Intelligence, you will be responsible for developing the BI strategy while designing and building analytics-based tools which are technically sophisticated yet easy to understand and use. If you are ready to take your career to the next level, join us in this critical role and position both yourself for long-term success.

 

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

 

What you’ll do on a typical day:

• Develop solutions that leverage and expand upon the company Business Intelligence (BI) platform
• Drive the strategic and tactical design and deployment of BI processes and procedures
• Ensure the use of BI applications enhance the business decision-making process and capabilities
• Design an effective strategy for deployment of solutions and information utilizing the best industry BI tools
• Create a culture of collaboration and continuous improvement that drives cross-functional engagement within the operational and centralized planning and analytics areas
• Engage with stakeholders across the organization to align priorities, build and execute development plans and communicate solution design trade-offs and recommendations
• Define and enforce standards to sustain the platform’s effectiveness; experiment with and promote adoption of new tools and approaches when appropriate
• Mentor and train analytical resources in best practices; simplify and communicate success stories to broader audiences across the company

 

Pay, benefits and more.

The annual salary range for this role is $101,073- $126,342. GXO, in good faith, believes this is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California. This rate may be modified in the future. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and other benefits to eligible employees. You can apply for this role by clicking on the Apply now button at the bottom of this posting (or through the Employee Job Hub if you are a current GXO employee). Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

 

What you need to succeed at GXO:

At a minimum, you’ll need:

• Bachelor’s degree in Mathematics, Engineering or Computer Science or equivalent related work or military experience
• 5 years of experience in business intelligence and data analytics, delivering business solutions that rely on effective availability, usability and understandability of data and analytical workflows
• Experience with data modeling and integration (ETL) designs and approaches

It’d be great if you also have:

• MBA or master’s degree in Mathematics, Engineering, Computer Science or related field
• Certified Business Intelligence Professional from Transforming Data with Intelligence (TDWI) and R/Python certifications
• 3 + years’ experience delivering BI and data analytics solutions that involve statistical modeling or machine learning and the use of associated R/Python libraries and tooling, which emphasize effective design and usability for end users
• Knowledge of machine learning, such as k-nearest neighbors, Random Forests, ensemble methods and their corresponding implementation packages in R (Caret, RWeka, etc.) and Python (scikit-learn, TensorFlow, Keras, NLTK, etc.) 
• Understanding of data warehouse concepts such as: patterns for time variance and generic versus explicit data structures; standards-based approaches for object names and data types; using logical data models to document and explain business