Data Analyst

Judit Inc

  • Plano, TX
  • 10 days ago

    Highlights

    Maintain sales hierarchy and product reference tables, reflecting personnel movements, territory adjustments, product launches, and end-of-life items. Serve as a liaison among Sales Operations, Finance, IT, and external vendors to resolve data issues and integrate new data sources.

    Numbers & Facts

    LocationPlano, TX

    Description

    Key Responsibilities:

    Data Architecture & Sales Data Model

    • Oversee the performance, reliability, and scheduled refresh of the division''s OLAP-based sales data model
    • Validate model outputs through structured quality checks; diagnose and remediate discrepancies, missing records, or load failures
    • Assess existing data structures for inefficiencies and propose enhancements that improve scalability and query performance

    Data Pipeline Development & Automation

    • Design, deploy, and support automated ETL pipelines using Alteryx or comparable tools
    • Proactively monitor scheduled jobs, triage failures, and restore data flows with minimal business disruption
    • Adapt pipeline logic in response to territory changes, account restructuring, and product portfolio updates
    • Conduct periodic health reviews of pipelines, retiring outdated inputs and correcting logic inconsistencies

    Business Intelligence & Reporting

    • Lead the development of Tableau dashboards from initial stakeholder discovery through deployment and user training
    • Administer the reporting environment, ensuring data sources, extracts, and refresh schedules operate as intended
    • Evaluate the reporting portfolio on a recurring basis to confirm metric definitions remain accurate and current
    • Streamline the report catalog by sunsetting low-usage content and merging redundant views

    Reference & Master Data Governance

    • Maintain sales hierarchy and product reference tables, reflecting personnel movements, territory adjustments, product launches, and end-of-life items
    • Administer product-to-material relationships within the ERP environment and resolve data quality exceptions
    • Enforce consistent classification logic across all dependent systems and reports

    Commercial Analytics

    • Evaluate sales performance to identify trends, variances, and growth opportunities, translating results into concise recommendations
    • Deliver timely, well-structured analysis in response to requests from Sales, Finance, and executive leadership
    • Communicate findings to senior audiences through dashboards, written summaries, and presentations

    Operational Excellence & Partnership

    • Map existing workflows, pinpoint inefficiencies, and recommend practical, well-documented improvements
    • Serve as a liaison among Sales Operations, Finance, IT, and external vendors to resolve data issues and integrate new data sources
    • Assist with periodic reconciliation of sales data against financial records to ensure alignment

    Required Skills & Competencies

    • Advanced experience building and maintaining ETL workflows in Alteryx or a similar platform
    • Proficiency in SQL, including writing complex queries against large datasets
    • Demonstrated Tableau expertise spanning dashboard design, data source management, and governance
    • Solid understanding of dimensional modeling and OLAP/cube concepts
    • Experience managing hierarchies and reference data within a sales operations setting
    • Working knowledge of CRM (e.g., Salesforce), BI (e.g., Power BI), and ERP platforms
    • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
    • Meticulous attention to detail and the ability to manage multiple priorities independently

    Qualifications

    • Bachelor''s degree in Business Administration, Information Systems, Data Analytics, or a related discipline
    • Minimum of 4 years of experience in sales operations, business intelligence, or data analytics, preferably within a B2B environment
    • Preferred: experience with Python or AI-enabled automation tools

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