Okay, I've searched for full-time Data Analyst roles in Seattle, WA within the Internet industry, requiring 7+ years of experience and skills in SQL and data visualization. I have found 124 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Analyst, People Development role at Meta is fundamentally about leveraging data to transform how talent and organizational performance are understood and optimized. Beyond simply crunching numbers, this position demands a strategic thinker who can design and maintain robust data infrastructures—such as dashboards and reporting tools—that unlock actionable business insights relevant to people development. The role requires a strong balance of technical proficiency, particularly in SQL, Alteryx, Tableau, and data visualization, coupled with the softer skills of storytelling and cross-functional collaboration. This is critical because the analyst must communicate complex findings to audiences with varying expertise levels, ensuring data-driven decision-making permeates throughout the company. Given the volume and sensitivity of data involved, maintaining data integrity and exercising sound judgment is essential, especially when dealing with metrics informing talent strategies and organizational effectiveness. The candidate will face challenges such as synthesizing diverse data types, aligning multiple stakeholder needs, and navigating ambiguity within a fast-moving tech environment. Success in the role means reliably delivering clear, scalable data solutions that shape talent planning, influence business roadmaps, and help leaders make confident workforce decisions within the first year.

Company Analysis:

Lensa operates at the cutting edge of talent acquisition technology, carving out a distinctive niche by applying machine learning to improve job matching and reduce hiring inefficiencies. As a company, Lensa presents the dynamics of a fast-growing, innovation-driven firm that values data, technological advancement, and user-centered design. Their culture likely emphasizes agility and collaboration, given their global teams of developers and data scientists, and their drive to personalize and optimize the job search experience. This creates an environment where a Data Analyst in People Development must be comfortable working cross-functionally and communicating across functions and geographies. The company’s mission to 'take the search out of job search' aligns tightly with leveraging data insights to streamline career and talent pathways. This role sits at an intersection of business insight and technological innovation within a company continuously scaling up and evolving its algorithms and platforms. The analyst will have meaningful visibility with leadership and a direct line to impact how people strategy supports broader company growth, making this a strategic hire focused on growth and the internal scaling of people analytics capabilities.

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

• Behavioral: Tell me about a time when you had to explain a complex data insight to a non-technical audience. How did you ensure clarity and engagement?
• Behavioral: Describe a situation where you had to manage conflicting priorities or requirements from multiple stakeholders. How did you navigate and resolve these challenges?
• Behavioral: Share an example of when your data analysis directly influenced a significant decision or change in your organization. What was your approach and outcome?
• Behavioral: How have you coached or supported end-users in understanding and effectively using data or dashboards?
• Technical/Role-Specific: Walk me through your process of designing and maintaining a self-service analytics dashboard. What tools and best practices do you rely on?
• Technical/Role-Specific: How do you approach auditing data quality and resolving discrepancies that may impact talent or organizational analyses?
• Technical/Role-Specific: Explain how you have applied data visualization and storytelling techniques to influence decision-making in a people development context.
• Technical/Role-Specific: Describe your experience handling sensitive or confidential workforce data. What protocols or ethical considerations do you follow?
• Situational: Imagine a key stakeholder requests a data report but is unclear about what metrics they need. How would you work with them to clarify and deliver a meaningful solution?
• Situational: Suppose you discover inconsistencies in talent data just before a major workforce planning presentation. How would you handle this situation under tight deadlines?
• Situational: If new business priorities shift focus from hiring volume to employee retention, how would you adapt your analytics strategy and reporting?
• Company Fit/Motivation: What excites you about applying your data analytics skills to people development within the context of a company like Meta and its growth ambitions?
• Company Fit/Motivation: How do your professional values and approach align with Lensa’s mission to revolutionize job search using data-driven technology?
• Company Fit/Motivation: Given the fast-paced and evolving environment described, how do you ensure you stay current with best practices in data analysis and workforce insights?
• Questions for Interviewer: How does the People Development team currently measure success and impact within Meta’s broader organizational goals?
• Questions for Interviewer: Can you describe the most significant data challenges the team is facing today, and how this role will help address them?
• Questions for Interviewer: What opportunities are there for professional growth and cross-functional collaboration for this position within the company?