Data Analytics & Reporting Specialist (Power BI/ Python/ Azure)
USA
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#157227-1

Job Title: Data Analytics & Reporting Specialist (Power BI / Python / Azure)

Location: Remote - time zone flexibility is required

Rate: $48-$50/ hour

Duration: Through 6/30/26 - possibility of extension


We are seeking a highly skilled Data Analytics & Reporting Specialist to support our Global Supply Chain (GSC) planning labor team for supplier field service representatives (FSR). This role focuses on building and maintaining Power BI dashboards, Python/SQL scripts, and automation solutions that enable better planning, scheduling, and operational insights. The ideal candidate combines strong technical expertise with a collaborative mindset, thrives in fast-paced environments, and is passionate about leveraging cutting-edge technologies. This position offers exposure to advanced data platforms, planning workflows, and opportunities to innovate with AI-driven solutions.


Responsibilities

Reporting & Analysis

  • Develop, maintain, and optimize Power BI dashboards for planning, scheduling, and labor tracking.
  • Create data models and implement DAX measures for performance optimization.

Data Engineering & Automation

  • Write and maintain Python and SQL scripts for data transformation and automation.
  • Integrate data from Microsoft Fabric (OneLake, Data Factory, Synapse) and other Azure services.

Planning & Scheduling Enablement

  • Support synchronization with scheduling tools such as Primavera P6 (bonus).
  • Contribute to workflows that improve planning and labor forecasting.

Collaboration & Communication

  • Partner with PMs, engineers, and UX teams to translate requirements into actionable reporting solutions.
  • Assist in defining and enforcing data governance, metadata management, and data quality standards.

Innovation & Continuous Improvement

  • Explore opportunities to leverage Power Apps and agentic AI concepts for workflow automation.
  • Stay current with emerging technologies in AI, automation, and data platforms.

Measurable Outcomes

  • Delivery of accurate, high-performance Power BI dashboards within agreed timelines.
  • Successful automation of key data workflows using Python and SQL.
  • Reliable integration of data from Azure services ensuring 99% uptime and data quality compliance.
  • Positive stakeholder feedback on planning and scheduling enablement solutions.


Required Qualifications

  • Bachelor’s degree in Statistics, Computer Science, Engineering, or related field.
  • 4+ years of experience in data analytics, reporting, or data engineering roles.
  • Advanced proficiency in Power BI (data modeling, DAX, performance optimization).
  • Hands-on experience with Python and SQL for data processing and automation.
  • Familiarity with Azure ecosystem (Data Factory, Synapse, Fabric, OneLake).
  • Understanding of planning and scheduling best practices (PMP certification a plus).
  • Strong problem-solving skills and ability to work in a fast-paced, cross-functional environment.


Preferred Qualifications

  • Experience in data center construction planning or commissioning.
  • Knowledge of Primavera P6 scheduling software.
  • Experience with Power Apps development.
  • Exposure to machine learning, anomaly detection, or causal inference in real-time data scenarios.
  • Familiarity with agentic AI concepts and intelligent agent development.
  • Experience with data governance frameworks and metadata management.


Ideal Candidate Profile

A hands-on technical professional with deep expertise in Power BI, Python, and Azure data services, who thrives in collaborative environments and understands planning and scheduling workflows. The ideal candidate is execution-focused, detail-oriented, and eager to innovate using emerging technologies. Prior experience in supply chain or construction planning is a significant advantage.



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