Sr. Business Intelligence Engineer
Crane WW
Sr. Business Intelligence Engineer
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
Ideal:
- A highly quantitative background
- Experience with dbt
- Deep knowledge of SQL
- 2+ years of experience with Power BI
- Experience with Python or R
Why Should You Work for Crane?
At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.
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
Come join the leader in logistics and take your career in the right direction.
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.
We maintain a drug-free workplace and perform pre-employment substance abuse testing.
This position requires the final candidate to successfully pass an E-Verify Check.
Company benefits are contingent upon meeting eligibility requirements and plan conditions.
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