Okay, I've searched for Data Science and Analytics Analyst roles in Chicago, IL, targeting full-time positions requiring 2-3 years of experience, and companies that offer tuition assistance and 401(k) benefits. I have found 57 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Science and Analytics Analyst role at Razorfish is fundamentally about harnessing data to guide marketing strategies and improve client outcomes. This analyst will be responsible for understanding all stages of data—from collection to interpretation—essentially acting as the bridge between raw data and actionable insight. The primary responsibilities include engaging with clients to identify their objectives and needs, participating in cross-functional teams, and managing relationships to ensure project deliverables are met. This indicates a strong emphasis on collaboration and communication, as the analyst will need to distill complex data into comprehensible presentations and discussions. Key skills required encompass both technical proficiencies in tools like SQL, Excel, and data visualization software, and soft skills such as effective listening and relationship management. For success in this role, candidates will need to exhibit not only analytic rigor but also the ability to synthesize insights into strategic recommendations, nurturing client partnerships and establishing themselves as data experts. Performance expectations likely include delivering high-quality insights that drive client engagement and satisfaction, with an implied goal of enhancing business strategies based on data-driven recommendations within the first 6–12 months.

Company Analysis:

Razorfish positions itself at the cutting edge of the digital marketing space, embodying an innovative and agile work environment. The company has redefined its focus in recent years to prioritize individual strengths and inclusion, reflecting a culture that values diverse perspectives and creativity. Employees are encouraged to challenge conventional approaches, which aligns closely with the analytical role that requires not only technical expertise but also the ability to think creatively about data applications in marketing. The Data Science and Analytics Analyst role is likely situated within a collaborative organizational structure, working alongside cross-disciplinary teams and yielding significant visibility to clients and leadership. This enhances the strategic importance of the analyst's work, as their insights will directly inform marketing strategies. Importantly, the company’s commitment to employee wellness and professional development reflects an understanding that valuing people contributes to better teamwork and client outcomes, creating an environment conducive to attracting and retaining top talent. As the company aims to grow and innovate, this role represents a critical component in achieving broader business objectives, driving both client success and internal performance improvements.

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

• Behavioral Questions:
• 1. Tell me about a time when you had to manage a conflicting priority between multiple clients. How did you handle the situation?
• 2. Describe an experience where your analysis uncovered an unexpected trend. What steps did you take to communicate this to your team?
• 3. Give an example of a time when you needed to quickly learn a new tool or concept to support a project. How did you approach this challenge?
• 4. Share an experience where you worked as part of a cross-functional team. What was your role, and what was the outcome?
• Technical/Role-Specific Questions:
• 5. How would you approach developing a measurement plan for a new marketing initiative?
• 6. Can you explain the process you follow when cleaning and analyzing data? What methods do you use to ensure data integrity?
• 7. How do you use Excel for data analysis, and which features do you find most valuable?
• 8. Describe your experience with SQL. Can you provide an example of a query you developed to extract meaningful insights?
• Situational Questions:
• 9. Imagine you are faced with incomplete data that is critical for a client report. How would you handle this situation to meet the deadline?
• 10. If a client disagreed with your data interpretation during a presentation, how would you respond to maintain the relationship while addressing their concerns?
• Company Fit/Motivation Questions:
• 11. Why are you interested in joining Razorfish specifically, and how does our mission resonate with your career goals?
• 12. How do you see your values and work style aligning with the culture of diversity and innovation we promote at Razorfish?
• Questions for the Candidate to Ask the Interviewer:
• 13. Can you describe the team dynamics within the Data Science and Analytics practice and how this role integrates with other departments?
• 14. What does success look like for this position in the first year, and how does it contribute to Razorfish’s broader strategic goals?