Job Title: Data Analyst

Location: Remote

Contract on W2

Top IT Firm

Duration: 18 months

Typical Day in the Role

• Purpose of the Team: The purpose of this team is to support our Global Supply Chain (GSC) planning labor team for OFCI LLE supplier field service representatives (FSR). This role will focus on building and maintaining Power BI reports, Python/SQL scripts, and automation solutions that enable better planning, scheduling, and operational insights.

· Key projects:

→ Develop, maintain, and optimize Power BI dashboards to support planning, scheduling, and labor tracking.

→ Write and maintain Python and SQL scripts for data transformation, automation, and reporting.

→ Support integration of data from MS Fabric (OneLake, Data Factory, Synapse) and other Azure services.

→ Partner with PMs, engineers, and UX teams to translate requirements into actionable reporting and analytics solutions.

→ Assist in defining and enforcing data governance, metadata management, and data quality standards.

→ Contribute to planning and scheduling workflows; support synchronization with tools such as Primavera P6 (bonus).

→ Explore opportunities to leverage Power Apps and agentic AI concepts (autonomous agents, orchestration frameworks) to streamline workflows.

→ Stay current with emerging technologies in AI, automation, and data platforms, evaluating applicability to our environment

Candidate Requirements

· Disqualifiers:

□ Lack of Power BI, Python, or SQL coding ability is a disqualifier; candidates must demonstrate these skills.

□ Candidates with only academic or entry-level Power BI experience (e.g., just out of school) are disqualified; at least 3-4 years of relevant experience is required.

□ Candidates must have the full 18 months of access; those with less will not be considered.

□ Location is not a disqualifier as long as candidates are flexible with time zones and remote work.

□ Must complete their PBI assessment with their resume

TOP SKILLS:

1) Power BI, Python, or SQL

2) Azure ecosystem (Data Factory, Synapse, Fabric, OneLake).

3) experience in data analytics, reporting, or data engineering

• Best vs. Average:

→ 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/streaming data scenarios.

→ Familiarity with agentic AI concepts and building intelligent agents.

→ Experience with data governance frameworks and metadata management.

→ The ideal candidate combines strong technical skills in Power BI and Azure data services with a working knowledge of planning and scheduling best practices. Experience in data center construction planning and/or commissioning is a significant plus. This is a hands-on, execution-focused role supporting senior planners, engineers, and program managers.

· 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.

□ Strong 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.

Please let me know if this is something you would love to do, and help me with your updated resume. Feel free to reach out at [email protected] if you have any questions.

Thanks