Okay, I've searched for Data Science and Analytics roles in New York City, requiring 3-6 years of experience in digital analytics, a Bachelor's degree, and offering full-time positions. I have found 67 opportunities for you.

Sure. Here's the analysis:

Job Analysis:

The Data Science and Analytics role at Lensa encompasses a multifaceted position requiring the candidate to synthesize insights from complex data sets to deliver actionable recommendations to clients. The primary responsibility is to analyze customer journeys with a commitment to optimization, meaning the candidate will engage in continuous improvement efforts that elevate client success. This job is fundamentally tailored for someone who can analyze trends, derive insights, and present them compellingly, thereby influencing decision-making processes. Success in this role will be indicated by the candidate's ability to foster strong relationships with cross-functional teams and clients, develop a deep understanding of client needs, and drive results through data-driven storytelling. The role also involves leading analytics engagements and mentoring junior analysts, hinting at a significant degree of autonomy and leadership in navigating complex client challenges and shaping digital transformation strategies.

Company Analysis:

Lensa operates in the career technology space, positioning itself as a leader in simplifying job searching through advanced algorithms and data-driven insights. The company is in a high-growth phase, given the substantial user base it has built since its inception, which indicates a dynamic and fast-paced work environment. This culture likely emphasizes innovation, collaboration, and a strong focus on customer-centric solutions. In this context, the Data Science and Analytics role is pivotal, as it aligns closely with Lensa's mission of enhancing user experience and optimizing talent acquisition through analytics. The role likely requires collaboration across various teams, which may afford the candidate high visibility within the organization. Lensa’s focus on reducing the complexity of job searching could mean that the analytics team plays a crucial part in shaping product offerings, thereby underscoring the strategic importance of this position in achieving broader company objectives.

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

• Tell me about a time when you had to analyze a complex data set to answer a business question. What was your approach, and what was the outcome?
• Describe a situation where you had to present your findings to a client or team. How did you ensure your insights were understood and actionable?
• Can you share an example of a time you faced a challenge while optimizing a customer journey? How did you address it?
• What steps do you take to stay organized and detail-oriented when managing multiple projects simultaneously?
• How would you approach analyzing a client's customer journey to identify areas for improvement?
• What experience do you have with Adobe Analytics and Test and Target? Can you provide a specific example of how you've used these tools in a previous role?
• Imagine you are tasked with delivering an analytics engagement for a new client. What initial steps would you take to build a successful relationship?
• How would you mentor a junior analyst who is struggling with data interpretation? What strategies would you employ?
• Why are you interested in Lensa, and how do you think your experience aligns with the company’s vision?
• What do you believe are the most significant challenges in the digital analytics space today, and how do you plan to address them in this role?
• How have you handled resistance to change from stakeholders in the past when implementing new data-driven strategies?
• What do you think is the most important trait for someone in a data analytics role within a technology-driven company?
• If hired, what immediate contributions do you envision making to the analytics team at Lensa within your first 90 days?