Okay, I've searched for Data Analyst roles in Austin, TX within the Internet industry, requiring 7+ years of experience and a full-time schedule. I have found 124 positions for you.

Sure. Here's the analysis:

Job Analysis:

This role is fundamentally designed for a seasoned data analyst who acts as a strategic partner within People Development, driving critical insights that help shape talent strategies and organizational effectiveness. At its core, the position is about transforming broad, complex datasets into actionable intelligence that influences decision-making at multiple levels. The key responsibilities involve not just technical data management—building and optimizing data flows, dashboards, and self-service reporting tools—but also storytelling and communication, ensuring that insights reach both technical stakeholders and non-technical decision-makers effectively. This signals a role requiring both deep analytical prowess and strong interpersonal skills. Given the emphasis on cross-functional collaboration with teams like research, forecasting analytics, and engineering, the analyst must be adept at coordinating across diverse functional areas, interpreting stakeholder needs, prioritizing requests, and guiding others in data literacy. Handling sensitive data and maintaining data integrity are recurring themes, highlighting the importance of discretion, audit rigor, and trustworthiness. Candidates will regularly confront ambiguous or incomplete data scenarios, the challenge of aligning analytics with evolving business goals, and the need to proactively influence data strategies. Success in the first year would likely manifest as streamlined, scalable reporting solutions that empower people development decision-makers, improved data-driven talent strategies, and enhanced organizational analytics maturity. The candidate’s extensive experience (7+ years) and proficiency in SQL, Tableau, and Alteryx indicate not just hands-on technical skills but the ability to architect robust analytics environments. Finally, understanding measurement, change management, and design-thinking shows the role’s strategic breadth—it's not just about querying data but about embedding analytics into culture and processes.

Company Analysis:

Lensa inhabits an innovative niche at the intersection of AI-driven talent acquisition and career development, shaking up traditional job search by focusing on precision matching through machine learning and behavioral insights. Though the role is to support a client (Meta Inc) in Austin, understanding Lensa’s own culture and product landscape sheds light on what they value: cutting-edge technology, data science, and a mission-driven approach to human-centered career tools. Lensa’s rapid growth (achieving over 10 million job seeker registrations by 2019) and global footprint, including a strong R&D presence in Europe, reflect a fast-paced, technically sophisticated, and innovation-oriented environment. This atmosphere likely demands agility, continuous learning, and teamwork with diverse, multi-disciplinary teams. For a candidate, aligning with Lensa means embracing a mission that values both technological excellence and ethical responsibility—particularly given their transparent commitment to equal employment opportunity and consideration of diverse and sensitive data privacy concerns. The candidate’s role will be pivotal in navigating and integrating the complex analytics pipelines that support both Lensa’s and Meta’s talent and organizational development goals, which indicates significant visibility and potential influence. The strategic alignment rests on scaling data capabilities and empowering people teams with deeper workforce insights, critical for both Lensa’s own growth ethos and Meta’s ambition to develop and retain talent at scale. The culture also suggests a high level of collaboration, continuous experimentation (evidenced by design-thinking and change management stress), and an emphasis on storytelling and communication to bridge technical and business stakeholders effectively.

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

• Behavioral: Tell me about a time when you had to translate complex data insights into a story that resonated with a non-technical audience. How did you tailor your communication?
• Behavioral: Describe a situation where you managed conflicting stakeholder requests for data analytics. How did you prioritize and manage expectations?
• Behavioral: Share an example of how you discovered a data integrity issue. What steps did you take to investigate and resolve it?
• Behavioral: Can you discuss a project where you provided coaching or training on data tools or interpretations? What approach did you use to ensure understanding?
• Technical: How do you approach designing and automating self-service reporting tools to ensure usability and scalability?
• Technical: Walk me through your process for auditing data quality and what methods you use to maintain data integrity over time.
• Technical: What strategies do you use to analyze unstructured data, and how have you integrated such analyses to support People Development initiatives?
• Technical: Explain your experience with applying survey analysis to talent or organizational development. How do you incorporate that into broader analytics frameworks?
• Situational: Imagine a key stakeholder misinterprets your data insights and proposes a decision that could negatively impact talent strategy. How would you address this?
• Situational: You receive an urgent but vague request for a new analytics report with unclear goals. How would you clarify the requirements and deliver a valuable solution?
• Situational: Suppose a change management initiative requires you to convince end-users to adopt new self-service dashboards. How would you facilitate adoption and user confidence?
• Company Fit/Motivation: What excites you about working at Lensa and Meta on people development analytics, compared to other opportunities you have considered?
• Company Fit/Motivation: How do your personal values around data privacy and ethical analytics align with Lensa’s commitment to equal employment opportunity and responsible data handling?
• Company Fit/Motivation: In your view, what are the critical challenges and opportunities for data analytics in talent development at a company like Meta, and how would you contribute?
• Candidate Questions: How does the analytics team currently collaborate with people development and other business units to influence strategic decision-making?
• Candidate Questions: What are the biggest data challenges today in your People Development analytics, and how might this role help overcome them?
• Candidate Questions: How does Lensa and Meta support continuous learning and development for analysts working across evolving data tools and organizational needs?