Senior Data Analytics Engineer (Remote, United States)

As a Senior Data Analytics Engineer at The Zebra, your main responsibilities will revolve around curating and understanding data, designing data models, and ensuring proper data integration across the organization. You will lead the development of master data models and work collaboratively with engineers and analysts to identify data needs, ultimately aiding in smarter business decisions.

To be considered for the Senior Data Analytics Engineer role at The Zebra, you should have at least 6 years of professional data engineering experience. Proficiency in programming languages such as Python and SQL, alongside experience with data warehousing solutions like Snowflake or Redshift, are crucial. Familiarity with ETL processes and BI platforms like Looker or Tableau will give you an added advantage.

Yes! The Zebra supports remote work for the Senior Data Analytics Engineer role, allowing you to work flexibly from anywhere in the continental United States, although some states, such as CA, MA, NY, and NJ, are currently excluded from remote support.

Essential technical skills for the Senior Data Analytics Engineer at The Zebra include expertise in SQL and Python, strong experience with relational databases, knowledge of data warehousing technologies like Snowflake, and familiarity with BI tools such as Looker or Tableau. Additionally, hands-on experience with ETL processes and data modeling is required.

The Zebra offers a variety of benefits for its Senior Data Analytics Engineer employees, including competitive compensation, stock options, health, dental, and vision coverages, unlimited PTO, paid parental leave, and wellness perks. They also promote learning and development opportunities, reinforcing their commitment to an inclusive and supportive work environment.

Certainly! When addressing this question, structure your response by discussing specific projects where you developed data models, emphasizing your thought process and techniques used. Highlight how your modeling helped in data integrity, accessibility, and supporting business initiatives, and be sure to connect your experience back to the technological tools used, such as SQL or specific BI platforms.

In your response, list the programming languages you are proficient in, such as Python and SQL. Provide examples of how you've utilized these languages in projects, particularly in data manipulation, ETL processes, or in creating dashboards that informed business decisions. Relate your experience to The Zebra's needs if possible.

Choose a specific challenge where you faced data discrepancies or integration issues. Discuss the steps you took to diagnose the problem, the strategies you implemented to resolve it, and the ultimate impact your resolution had on the project or your team. This showcases your problem-solving abilities.

Effective prioritization is key. You might mention techniques such as using frameworks like the Eisenhower Matrix or agile methodologies to organize tasks based on urgency and importance. Illustrate this with an example from your past where prioritizing your workload enhanced project outcomes.

When discussing best practices, emphasize the importance of data validation, consistent data standards, and regular audits. You may want to highlight specific methodologies or tools you use for maintaining data quality, showing your commitment to excellence in your work as a Senior Data Analytics Engineer.

Share your strategies for continuous learning such as following industry news, participating in online forums, or pursuing certifications. You might also mention attending workshops or webinars that pertain to data engineering, showing your proactive approach to personal and professional development.

Discuss your experience with specific BI tools like Looker or Tableau and how you've used them to create impactful dashboards or reports. Provide examples of how these tools influenced business decisions and your role in streamlining data presentation, showcasing how your contributions impacted the organization.

Provide examples of your experience working within cross-functional teams, emphasizing communication and collaboration skills that facilitated successful project outcomes. Document how you navigated different perspectives to achieve common goals, which resonates well with The Zebra's culture.

When answering this question, demonstrate your strategic thinking by detailing steps such as assessing the new data’s compatibility with existing models, planning for transformations, and ensuring consistent data governance. Reference any past experiences where you successfully integrated new data sources.

Your answer should show admiration for The Zebra's mission and culture. Highlight how their focus on inclusivity and innovation aligns with your values and career goals. Share your keen interest in contributing to a leading insurance comparison site known for transparency and consumer empowerment.