Okay, I've found several Analytics Engineer roles in Jacksonville, FL that require at least 2 years of experience. These positions emphasize data modeling and SQL proficiency while promoting flexible work options and collaboration across teams. There are about 27 openings that fit your criteria.

Sure. Here's the analysis:

Job Analysis:

The Analytics Engineer II role at Scribd is fundamentally centered around transforming data into insights that influence significant business decisions, particularly within the Growth and Premium Pillars. This person will be instrumental in designing, developing, and maintaining scalable data models and data pipelines while collaborating closely with cross-functional teams, including data scientists and product managers. The emphasis on creating accurate data definitions across the organization indicates that the role involves a significant degree of cross-department collaboration, necessitating strong communication skills and a shared understanding of data's role in business strategy. Success in this role means not just delivering data models, but enabling stakeholders to make informed, data-driven decisions, ensuring data quality, and fostering a common language around data throughout the company. Challenges may include navigating ambiguities in business requirements and managing expectations from various stakeholders, all while adhering to best practices in data governance and optimization.

Company Analysis:

Scribd occupies a unique intersection in the tech industry, focusing on powering the written and spoken word through a collection of brands that prioritize knowledge sharing. As a growing player in a dynamic market, Scribd supports an environment that cultivates curiosity and flexibility, evident in their values of GRIT—Goals, Results, Innovation, and Teamwork. This culture encourages boldness and creativity, which is vital in a fast-paced technology landscape where adaptability is crucial. The Analytics Engineer II will fit into a collaborative team structure, likely with visibility to leadership due to the strategic importance of data in guiding business decisions. The company's commitment to a flexible work environment, coupled with occasional required in-person interactions, suggests an organizational commitment to building connections and a strong culture, which may enhance the collaborative nature of the team. This role directly supports Scribd's broader mission by providing the data-driven insights necessary for strategic growth and product development.

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

• Behavioral Questions:
• 1. Tell me about a time when you had to resolve a conflict between differing opinions on data interpretation within a team.
• 2. Can you give an example of a complex data problem you solved and the impact it had on your previous organization?
• 3. Describe a situation in which you had to adapt to a significant change or pivot in a project. How did you handle it?
• 4. Share an experience where you had to communicate complex data findings to a non-technical team member. How did you approach it?
• Technical/Role-Specific Questions:
• 5. Explain how you would optimize a complex SQL query for performance. What factors do you need to consider?
• 6. How do you ensure accuracy and consistency in your data models while working with ambiguous datasets?
• 7. Can you discuss a data modeling project you worked on that required collaboration with cross-functional teams? What was your role?
• 8. How do you approach using data visualization tools like Tableau or Looker to convey insights effectively?
• Situational Questions:
• 9. Imagine you are given a dataset with incomplete fields and missing values. What steps would you take to prepare this for analysis?
• 10. You're tasked with creating a new data model that several teams will rely on, but the requirements are not clearly defined. How would you move forward?
• Company Fit/Motivation Questions:
• 11. Why do you believe Scribd's mission and values resonate with your personal work style?
• 12. What unique skills or perspectives would you bring to the Analytics Engineer team at Scribd?
• Questions for the Candidate to Ask the Interviewer:
• 13. Can you describe how the Analytics team collaborates with other departments, particularly product management and data science?
• 14. What are some examples of recent projects the Analytics team has completed that significantly impacted the company's strategy?
• 15. How does Scribd measure success for the Analytics Engineer role within the first 6–12 months?