Crane Worldwide Logistics is hiring a

Sr. Analytics Engineer

Job Overview

  • Posted 3 weeks ago
  • Full Time
  • Houston, TX, USA
  • 130000

Roles & Responsibilities

Serve as a steward high-level health of the enterprise data warehouse, managing the lifecycle of data assets
Perform code reviews for data model updates
Design and develop data models for business and application domains
Create and QC the SQL transformation pipelines to convert raw data into modeled data
Identify refactoring opportunities for DAG scalability
Establish and implement standards for dbt, SQL, data quality, automated testing, and documentation
Troubleshoot and optimize SQL queries
Monitor and optimize overall run performance for data warehouse build process
Coach BI Engineers and non-BI team contributors on best practices
Provide feedback to the data platform team that builds tooling and infrastructure, owning the developer experience of the data modeling & publication process
Own key data models as needed

Building dashboards and creating analyses will not be a core part of this position. This is a high-leverage role that maintains the library and map of our data ecosystem: your primary customers are analysts and engineers.

Skills and Attributes

Practical knowledge of data modeling and data design strategies
Advanced SQL skillsโ€”readable, fast queries are your default
Hands-on dbt (or dataform, sqlmesh, etc) experience
Comfortable coaching and mentoring other team members
Hands-on experience using and optimizing OLAP query engines
Meticulous about correctness and quality of work
Comfortable navigating a complex data ecosystem: ability to see big picture while also digging into the details

Preferred Skills

Specific experience with Snowflake
Dbt macros or Jinja

Nice to have but not required

Practical programming experience in a team environment
Experience with Terraform or infrastructure as code

ย Education and Experience

Required: multiple years as a developer or engineer in the data/BI/analytics space
Preferred: prior experience as an analytics engineer, data architect or similar role
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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.

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.

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.

More Information:ย http://www.dhs.gov/e-verifyย 

Company benefits are contingent upon meeting eligibility requirements and plan conditions.

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Skills Required

  • Machine Learning
  • Python

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