Senior BI Engineer — Power BI, SQL & Data Viz Leader

Crane Worldwide Logistics; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Quarterly Incentive Plan

136 hours of Paid Time Off

Medical, Dental and Vision benefits

Tuition Reimbursement

Volunteer Time

Employee Discounts

Wellness incentives

Job summary

Crane Worldwide Logistics is seeking a skilled Analytics Engineer to shape data solutions on our BI platform. You will design data models in Snowflake, implement dbt transformations, and build Power BI dashboards that empower hundreds to thousands of users across the globe.

You’ll collaborate with business partners to optimize decisions and performance. Ideal candidates have a strong quantitative background, 4+ years in analytics roles, and experience with SQL, Power BI, and dbt.

Qualifications

• Bachelor's degree or equivalent experience.
• Four+ years of relevant 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.

Responsibilities

• Design and map real-world activity to systems and data.
• Build and extend core data models in Snowflake.
• Develop backend models for Power BI datasets using DAX.
• Create dashboards and visualizations for hundreds to thousands of users globally.
• Collaborate with business partners to improve decision making and outcomes.

Skills

Dashboards

KPIs

Data analysis

Cross‑functional collaboration

Education

Bachelor's degree or equivalent

Tools

Power BI

SQL

dbt

Python/R

Job description

Crane Worldwide Logistics is seeking a skilled Analytics Engineer to shape data solutions on our BI platform. You will design data models in Snowflake, implement dbt transformations, and build Power BI dashboards that empower hundreds to thousands of users across the globe.

You’ll collaborate with business partners to optimize decisions and performance. Ideal candidates have a strong quantitative background, 4+ years in analytics roles, and experience with SQL, Power BI, and dbt.