• Senior Analytics Engineer

    Levi, Ray & Shoup, Inc. (Fort Worth, TX)


    LRS

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    Added Dec 16, 2025 Senior Analytics Engineer (27183) Fort Worth, Texas | Temp to Perm Apply (https://evoportalus.tracker-rms.com/LRS/apply?jobcode=27183&shownonlrs=True)

     

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    Job Description

    LRS Consulting Services is seeking an Analytics Engineer for a contract-to-hire opportunity with our client in Fort Worth, TX.

     

    The Analytics Engineer designs, builds, and supports high-quality data products including data pipelines, data models, and analytics dashboards. This role focuses on delivering reliable, well-structured, and cost-effective data solutions that support enterprise reporting and decision-making.

     

    The Analytics Engineer works with modern data and analytics tools and applies sound data architecture principles, critical thinking, and problem-solving skills to support the ongoing development and improvement of analytics and data products.

     

    The ideal candidate is outcome-focused, curious, and collaborative, with the ability to work across multiple initiatives and adapt as priorities evolve.

     

    Duties & Responsibilities

     

    + Design, build, and support high-quality data products

    + Build and support data warehouses and analytics data models

    + Design and develop data pipelines, integrations, and data flows

    + Build and maintain semantic models used for reporting and analytics

    + Develop and enhance Power BI dashboards and visualizations

    + Ensure data reliability, performance, and cost efficiency

    + Implement data quality checks and validation processes

    + Maintain clear and thorough documentation for data pipelines, models, and analytics products

    + Ensure alignment with Data Governance standards and outcomes

    + Collaborate with Data Services leadership to help prioritize the analytics roadmap

    + Support adoption of new data technologies and tools

    + Mentor junior engineers and provide guidance on best practices

    Required Qualifications

    + 5+ years of experience in analytics engineering, data engineering, or business intelligence roles

    + Strong experience with Power BI and data visualization, including building and modifying dashboards

    + Experience developing and maintaining semantic models, including row-level security

    + Experience building or supporting data warehouses and analytics data models

    + Strong SQL skills, with experience using T-SQL or similar dialects

    + Experience designing and supporting data pipelines and integrations

    + Experience working in a Microsoft-based data environment (Azure, SQL Server, ADF, or similar); Microsoft Fabric experience is a plus but not required

    + Solid understanding of data modeling techniques, including star schema and normalization

    + Strong analytical, problem-solving, and communication skills

    + Ability to work independently, collaborate effectively, and adapt to changing priorities

    Preferred Qualifications

    + Financial services or other highly regulated industry experience

    + Experience with Microsoft Fabric, Azure Data Factory, or Azure Purview

    + Familiarity with Python and/or Scala for data engineering

    + Experience with analytics automation tools such as Alteryx

    + Experience working in Agile or Scrum environments

    + Familiarity with source control tools such as Git

    + Relevant data or analytics certifications

    Education

    + BA/BS preferred; MBA or MS a plus

    + Certifications related to data or analytics engineering (e.g., Power BI, Azure Data Factory, Microsoft Fabric) preferred

    + Microsoft Fabric Analytics Engineer Associate certification may be required within 90 days if not already achieved

     

    LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.