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Senior Analytics Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Rexel France
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below

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We are looking for a Senior Analytics Engineer to join our Rexel team in North Carolina! Remote

Summary

The Senior Analytics Engineer is a hands‑on technical expert and adept business collaborator responsible for building, operating, and scaling the company’s transformation, enterprise data, and semantic layers. This role requires a skilled communicator and SQL expert who excels at working closely with business stakeholders to distill requirements and logic and apply consistent implementation patterns to varying domains and use cases. The Senior Analytics Engineer will design, build, and maintain dbt models and macros, test specifications, and technical definitions of key measures and dimensions.

This role is highly technical, collaborative, and oriented toward serving data with an emphasis on validity, ease of use, and business relevance.

What You’ll Do
  • Data Transformation Development: dbt Models and Macros:
    Contribute to the development of models and macros to unify disparate sets of ERP and other data, load sophisticated dimensional models, and expose meaningful metrics and dimensions to business users in a business delivery/semantic layer
  • dbt Tests & Data Validation:
    Devise means of verifying data validity and operationalize through a combination of dbt Tests and other monitoring/observability capabilities such as Monte Carlo monitors and Atlan data asset health status. Partner with Data Governance and Business intelligence teams to ensure that tests evaluate meaningful dimensions of data quality and are appropriate in severity based on the data being tested
  • Collaboration & Delivery:
    Logic & Definitions:
    Participate in and help facilitate collaboration between business units, analysts, and BI developers to translate business rules, KPIs, and operation logic into technically feasible definitions
  • Cross-Functional Technical

    Collaboration:

    Work closely with Data Platform Architects and Data Engineers to ensure coordinated progress across end-to-end data pipelines
  • Operational Reliability:
    Pipeline Monitoring & Incident Response:
    Leverage tooling to monitor transformation, unification, and Enterprise Data refresh jobs for failures, delays, and data anomalies. Contribute to and follow runbooks for identifying, escalating, and resolving issues appropriately
  • Data Trust & Observability Support:
    Partner with Data Platform, Data Engineering, Data Governance, and BI Teams to implement trust and observability infrastructure as it pertains to data transformation using tools such as Atlan and Monte Carlo. Diagnose and collaborate to resolve errors, test failures, and data refresh delays
  • Other duties as assigned
Job Duties Disclaimer

The information contained in this job description is intended to describe the essential job functions required of those assigned to this job. It is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, and abilities needed to perform the job. Please note that management retains the right to assign or reassign duties and responsibilities to this job at any time.

The ability to competently perform all the essential duties of the position, with or without reasonable accommodation, demonstrate commitment to effective customer service delivery, integrity, and the ability to work productively as a member of a team or work group are basic requirements of all positions at Rexel USA.

Qualifications
  • 5+ years of experience in data engineering, analytics engineering, or data analyst roles, working with cloud-native, code-first tools
  • Expert dbt Developer:
    Hands‑on experience creating, maintaining, and optimizing dbt Cloud resources such as models, tests, snapshots, macros, and exposures. Familiarity with configuring and leveraging dbt Packages for additional functionality
  • 4 Year / Bachelor's Degree - Required
  • Computer Science, Engineering, Information Systems, or a related technical field
What You’ll Need
  • Operational Focus:
    Demonstrated ability to operate and support data transformations with a high standard of reliability, accuracy, and responsiveness
  • Collaboration &…
Position Requirements
10+ Years work experience
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