Okay, I've searched for Data Analyst contract roles in the United States requiring 3-5 years of experience, with skills in Python, SQL, and Tableau, for remote positions. I have found 128 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Analyst role at Meta Reality Labs’ Edge Network Services (ENS) division is fundamentally about enabling data-driven operations and decision-making in a technically complex infrastructure setting. The candidate will contribute to building and maintaining scalable data solutions that improve operational visibility, efficiency, and governance by developing layered metrics (L1/L2/L3) and automating key financial tracking (Opex and Capex). The role requires not only technical fluency in Python scripting and SQL but also domain-specific knowledge of IT infrastructure and networking, which is essential to making sense of the metrics and shaping impactful analyses. Success in this position hinges on the ability to design automated data pipelines, maintain high data quality, and create intuitive visualization tools like dashboards that empower stakeholders across ENS to monitor and act on their data effectively. Given the complexity of infrastructure data and cross-team dependencies, the analyst must anticipate ambiguities, balance accuracy with scalability, and collaborate closely with multiple teams. In practical terms, achieving success means delivering timely, reliable insights that inform operational improvements, cost tracking, and strategic decisions within the ENS. Early wins are likely to involve establishing baseline metrics and automation that free up manual effort while increasing data trustworthiness.

Company Analysis:

Meta, formerly Facebook, operates at the forefront of social technology innovation with a strong focus on building immersive experiences such as augmented and virtual reality, beyond its original social media roots. As a global tech leader continuously evolving its ecosystem, Meta’s culture values openness, empathy, and constructive communication, reflecting its mission to create connected, safe, and inclusive communities. This environment likely fosters high-paced innovation and expects employees to solve complex challenges with both technical expertise and interpersonal savvy. The Edge Network Services division supports foundational infrastructure that powers Meta’s expansive digital environment, making this role critical for maintaining performance and scalability of Meta’s network operations. Although the position is contract-based and remote, the candidate will likely interface with diverse internal teams and must embody a collaborative mindset compatible with Meta’s core values. As Meta pushes into new technological frontiers, this role serves a strategic purpose by ensuring that infrastructure data flows reliably and is interpreted accurately, underpinning the company’s ability to scale and innovate with confidence. For a candidate, thriving here means embracing continuous learning, adapting quickly to evolving systems, and contributing to a mission larger than just data analysis— supporting transformative technologies that impact billions.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to design a data pipeline from scratch to automate a complex reporting process. What challenges did you face, and how did you overcome them?
• Behavioral: Describe an experience where you worked with cross-functional teams to align on key performance metrics. How did you ensure everyone had a shared understanding?
• Behavioral: Can you share an example of when you identified data quality issues that impacted business decisions? How did you detect and resolve them?
• Behavioral: Talk about a situation where you had to quickly adapt to a significant change in project scope or technology stack. How did you manage that transition?
• Technical: How would you approach designing L1, L2, and L3 metrics for a complex IT infrastructure process? What factors would you consider?
• Technical: Explain your experience with Python scripting and SQL in building data automation workflows. What strategies do you use to optimize performance?
• Technical: Which data visualization tools have you used (e.g., Tableau, QlikView), and how do you decide the best way to present complex network data to stakeholders?
• Technical: How familiar are you with IT networking concepts, and how do you translate that knowledge into actionable analytics?
• Situational: Imagine a key dashboard you created is showing inconsistent data across different time periods. How would you investigate and troubleshoot the root cause?
• Situational: You need to establish a new automated Opex tracking system, but the financial data sources are fragmented and inconsistent. What steps would you take to deliver a reliable solution?
• Situational: Suppose a stakeholder requests a last-minute change to a data report that affects multiple teams. How do you balance urgency with maintaining data quality and governance?
• Company Fit: Why are you interested in joining Meta's Reality Labs, specifically the Edge Network Services analytics team?
• Company Fit: Meta emphasizes building safe and respectful online communities. How do you see your role as a data analyst contributing to these broader company values?
• Company Fit: Based on what you know about Meta's culture and mission, how do you anticipate adapting to the remote contract nature of this position while staying impactful?
• Candidate Questions: Can you describe how the ENS Analytics team collaborates with other parts of Meta's infrastructure and operations groups?
• Candidate Questions: What are the most critical data challenges currently facing the ENS division that this role will help address?
• Candidate Questions: How does Meta support continuous learning and skill development for contract workers in technically demanding roles like this?