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Data Analyst

$40 - $80 per hour

Smart IMS Inc

Job Title: Data Analyst



Duration (Contract): 12 Months



Client Location: Plano, TX 75023

Location Preference: Onsite

Job 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    • Conduct periodic health reviews of pipelines, retiring outdated inputs and correcting logic inconsistencies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, Experiences, Education and Competencies:

    • 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

  • 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

The hourly range for roles of this nature are $40.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.

cyberThink is an Equal Opportunity Employer.

Vacancy posted 4 days ago
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