Okay, I found Data Science and Analytics Analyst roles in Chicago focusing on full-time positions, requiring knowledge of statistical concepts and coding languages, with a salary expectation starting at $70,000, and offering tuition assistance. There are 32 positions available for you to explore.

Sure. Here's the analysis:

Job Analysis:

The Data Science and Analytics Analyst role at Razorfish is fundamentally designed to translate data into actionable insights that drive client strategies and marketing efforts. The key responsibilities include serving as a subject matter expert (SME) in data analytics, understanding data from its origin to its application, and managing cross-functional data projects. This role necessitates a strong emphasis on both technical proficiency and soft skills, as the candidate will liaise with various teams and clients to ensure that data analytics align seamlessly with broader client objectives. Successful candidates will face the challenge of interpreting complex data sets and communicating findings clearly, balancing statistical rigor with presentation skills to influence decision-making. The ability to engage with clients and articulate recommendations based on data analysis will be critical in measuring success; this may involve not only delivering reports but also contributing to strategy sessions where data-driven insights are applied in real-time to improve client outcomes.

Company Analysis:

Razorfish operates within the dynamic and rapidly evolving marketing industry, positioning itself as a leader with a strong emphasis on digital expertise and innovative solutions. The company has made a significant strategic pivot, highlighting its focus on inclusivity and diverse perspectives which, in turn, shapes its culture. Employees are likely to encounter a fast-paced and creative environment where collaboration across various disciplines is essential. This context means that the Data Science and Analytics Analyst role is not just about individual contribution; it requires an ability to thrive in a team-oriented setting that encourages innovative problem-solving. The position exists within a larger framework aimed at delivering high-impact, data-driven insights to clients, thereby aligning the role with Razorfish's growth objectives. New hires will need to quickly adapt, establish rapport with teams and clients, and contribute to initiatives that underscore the strategic importance of data in shaping marketing efforts.

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

• Tell me about a time when you had to analyze complex data. What approach did you take, and what were the outcomes?
• Describe a situation where your presentation skills made a significant impact on your audience. How did you ensure your message was understood?
• Can you share an experience where you had to prioritize multiple tasks for clients? How did you manage your time effectively?
• How would you evaluate the success of a data-driven project in an ambiguous environment?
• How would you approach creating a measurement plan for a new client campaign?
• What strategies would you implement to ensure data integrity during extraction and reporting?
• Describe how you would extract insights from a dataset that has inconsistencies. What tools or methods would you employ?
• Imagine that you are analyzing trends for a client's upcoming product launch. What specific data points would you focus on, and why?
• Why are you interested in working at Razorfish specifically, and how do you think you can contribute to our mission?
• What aspects of our company culture resonate the most with you, and how do you see yourself fitting into it?
• What have you learned about our approach to client relationships, and how do you envision applying that in your role?
• What questions do you have about our data tools or analytics processes that will help you succeed here?
• How do you stay up-to-date with new data analysis tools and best practices?