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Learning & Development Reporting Specialist

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: Consumer-Cellular
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 68250 - 88725 USD Yearly USD 68250.00 88725.00 YEAR
Job Description & How to Apply Below

Learning & Development Reporting Specialist ( 260448 ) Job Summary

Consumer Cellular is seeking a forward‑thinking Learning & Development Reporting & Analytics Specialist to transform our L&D data capabilities. This is far more than traditional reporting: you’ll own the design, development, and automation of the reporting infrastructure that drives strategic decisions across the organization. You’ll convert legacy manual Excel tools into scalable, automated Power BI solutions, build data pipelines, and become the L&D team’s analytics subject matter expert.

You’ll work across two data domains:

  • L&D-Owned platforms (LMS, Knowledge Base, etc.) — full data management and reporting ownership.
  • External data sources (call handling and operational performance metrics) — partner cross‑functionally to access, integrate, and report on data tied to the Consumer Cellular training experience.

You will need to reside within 50 miles of our Corporate Headquarters in Scottsdale, AZ as this role has the option of hybrid or onsite.

What You Will Do L&D Platform Data Management
  • Serve as the L&D team’s primary resource for data management and reporting within L&D owned platforms (LMS, Knowledge Base, etc.)
  • Build and maintain data connections between L&D platforms and Power BI for automated, near‑real‑time reporting on learning activity and engagement, and maintain data hygiene—proactively flagging and resolving data quality issues.
Reporting Infrastructure & Power BI Development
  • Design, build, and maintain production‑grade Power BI dashboards that track the training journey (skills gaps, tool use, program effectiveness, and performance trends), published to Power BI Service with scheduled refresh so they stay current automatically.
  • Develop semantic data models that unify L&D platform and external operational data using DAX measures for key KPI’s (period‑over‑period comparisons, running totals, completion benchmarks) and Row‑Level Security (RLS) so stakeholders see only data appropriate to their role.
  • Modernize manual tracking tools into automated reports, dashboards, and workflows that replace repetitive processes.
  • Document workflows, data sources, and refresh schedules to support sustainability and knowledge transfer.
Stakeholder Reporting & Governance
  • Prepare and present executive‑ready presentations, reports, and dashboards for business leaders.
  • Maintain a single source of truth for L&D metrics—standardized KPI definitions, naming conventions, and a central report inventory—and champion data governance best practices for report ownership, refresh schedules, and access management.
  • Partner with subject matter experts and systems teams to ensure data quality, access, and alignment across all domains.
Data Analysis & Insights
  • Analyze L&D platform data (learner engagement, completion trends, time‑to‑proficiency) to assess training effectiveness and surface actionable insights for leadership and business stakeholders.
Qualifications
  • Power BI:
    Data modeling, DAX measures, report design, RLS, Power BI Service publishing, and scheduled refresh.
  • Power Automate:
    Flow design for report distribution, data alerts, MS Forms pipelines, and scheduled, trigger‑based process automation.
  • Microsoft Excel:
    Power Query, pivot tables, advanced formulas—used for ad hoc analysis and data validation.
  • Microsoft 365:
    Comfortable using SharePoint, MS Forms, PowerPoint, and Teams as data and workflow tools.
  • Data Integration:
    Combining data from multiple source systems into a unified reporting layer (exposure to SQL, SharePoint data sources, or Azure Data Services is a plus).
  • Analytical Thinking & Problem‑Solving:
    Translates raw data from multiple systems into clear, unified insights and recommendations, and proactively identifies data or process issues and recommends scalable solutions.
  • Communication:
    Strong written and verbal skills; comfortable presenting findings to leadership and non‑technical stakeholders.
  • Attention to Detail: A high standard for accuracy in data, formulas, and reporting outputs.
  • Cross‑Functional

    Collaboration:

    Able to work effectively with Operations, Data Science, and other teams to access and integrate data outside of L&D ownership.
  • Self‑Direct…
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