Crane Worldwide Logistics

Business Intelligence Engineer II

Crane Worldwide Logistics$85K — $110K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience
  • 4+ years of relevant professional experience in analytics roles
  • Experience in building dashboards and user experience design
  • Ability to design KPIs and understand their implications
  • Knowledge of warehouse operations and inventory management
  • Familiarity with Warehouse Management Systems (WMS) like Footprint or Softeon

Responsibilities

  • Engage in problem-solving and solution design with business partners
  • Map real-world processes to systems and data
  • Build and extend core data models using dbt in Snowflake
  • Develop backend models for Power BI datasets using DAX
  • Create applications and dashboards in Power BI for global users
  • Automate processes and optimize performance using an engineering approach
  • Dedicate time to learning new data skills and exploring technologies

Benefits

  • Quarterly Incentive Plan
  • 136 hours of Paid Time Off (17 days) available for personal and sick use
  • Excellent Medical, Dental, and Vision benefits
  • Tuition Reimbursement for job-related education
  • Employee Referral Bonuses
  • Employee Recognition and Rewards Program
  • Paid Volunteer Time for community support
  • Employee Discounts
  • Wellness Incentives up to $100 for completing challenges
Full Job Description
ESSENTIAL JOB FUNCTIONS

  • You'll work in three main modes on our Business Intelligence team:
  • Problem-solving and solution design

    • You'll act as part private investigator, part anthropologist as you work to map real-world activity and processes to systems and data
    • You'll act as an internal consultant as you work collaboratively with business partners to design the best way to make people's decisions better and their lives easier

  • Data modeling

    • You'll use dbt, a SQL-based framework for defining data transformations, to build and extend core data models in our Snowflake data warehouse
    • You'll also develop the backend models for Power BI datasets, using DAX and the full range of tooling available to you in the Power BI service

  • Visualization and product development

    • You'll make apps and dashboards in Power BI, targeting hundreds to thousands of users globally
    • You will have the freedom to explore other solutions as needed, even if they're not part of our core stack


No matter what mode you're working in at the time, you'll use an engineering-driven approach: you'll automate, you'll test, you'll use version control, you'll optimize performance, you'll measure outcomes. You'll also spend time on learning new data skills: we'll specifically allocate time for you to attend trainings, try new technologies, or work on side projects, so that you can grow with the team.

OUR STACK

  • Power BI for rapidly building dashboards
  • Snowflake as our primary storage and compute engine
  • dbt, a SQL-based framework for defining, testing, and documenting transformations and data models
  • Azure Data Lake for archival and staging
  • Prefect for orchestration
  • Terraform for infrastructure configuration and provisioning
  • git for version control
  • GitHub Actions and Azure DevOps for CI/CD
  • HVR for CDC (change data capture) from relational data stores
  • Fivetran, Stitch, and custom integrations for batch-based integrations


EDUCATION AND EXPERIENCE

Required:

  • Bachelor's degree or equivalent experience
  • Four+ years of relevant professional experience as a Business Analyst, Data Analyst, or Analytics Engineer
  • Experience building dashboards or with visualization & designing user experiences
  • Experience designing KPIs: you understand and can communicate the impacts of selecting one metric over another
  • Warehousing industry experience, with a strong understanding of warehouse operations, inventory management, and distribution processes.
  • Experience with Warehouse Management Systems (WMS), including platforms such as Footprint and/or Softeon.


Ideal:

  • A highly quantitative background
  • Experience with dbt
  • Deep knowledge of SQL
  • 2+ years of experience with Power BI
  • Experience with Python or R


We offer:

  • Quarterly Incentive Plan
  • 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
  • Excellent Medical, Dental and Vision benefits
  • Tuition Reimbursement for education related to your job
  • Employee Referral Bonuses
  • Employee Recognition and Rewards Program
  • Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
  • Employee Discounts
  • Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates


Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

About Crane Worldwide Logistics

Crane Worldwide Logistics is a global logistics company that provides customized supply chain solutions to various industries. The company offers air freight, ocean freight, customs brokerage, warehousing and distribution, and other logistics services. Crane Worldwide Logistics operates in more than 120 locations across 30 countries. The company was founded in 2008 and is headquartered in Houston, Texas.
Learn more about Crane Worldwide Logistics
Size
2,500 employees
Industry
Founded
2008

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