Data Analyst 1

As a Data Analyst 1 at Puzzle, your primary responsibilities will include managing and exploring our diverse data sets, ensuring data quality, creating and optimizing SQL queries for reporting, and building dashboards that assist business teams. You'll also need to analyze data and provide meaningful insights while documenting data processes effectively.

To qualify for the Data Analyst 1 position at Puzzle, candidates should hold a Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, or have equivalent experience. Additionally, 1-2 years of experience in data analysis, strong SQL skills, and basic Python programming capabilities are essential.

Puzzle prefers candidates for the Data Analyst 1 role to have proficiency in SQL and foundational Python skills. Understanding cloud platforms like AWS, GCP, or Azure is also beneficial, along with familiarity with version control systems like Git and basic knowledge of statistical techniques or A/B testing methodologies.

Puzzle is committed to fostering a collaborative environment that allows Data Analyst 1 team members to grow their technical skills. Through code reviews, technical discussions, and ongoing projects, you'll have ample opportunities to learn and develop in your career, making it an ideal place for someone eager to advance.

For the Data Analyst 1 role at Puzzle, candidates need to be currently residing in the U.S. or Canada, indicating that while remote work may be considered, employees must abide by workplace guidelines and be in an authorized location.

When answering this question, detail specific SQL projects you've worked on, emphasizing your ability to optimize queries and your understanding of data retrieval. Mention any complexities faced and how you resolved them to demonstrate your problem-solving skills.

Discuss the practices you implement to maintain data integrity, such as validating data sources, conducting regular audits, and implementing checks and balances. Highlight your attention to detail and provide examples of how it's positively impacted your work.

Explain your analytical process, starting from data collection and cleaning to choosing the appropriate analytical methods. Mention how you determine what metrics to focus on and any experiences where you've successfully derived insights that influenced business decisions.

Provide examples of dashboards or reports you've created, discussing tools used, key metrics highlighted, and feedback received from users. Illustrate how these dashboards drove business decisions or improvements.

Highlight your approach to simplifying complex technical information, such as using analogies or visual aids. Explain the importance of tailoring communication styles to the audience's understanding and provide a specific example of when it was effective.

Select a relevant problem you've faced in your data analysis journey, explaining the challenge, your thought process, and the final outcome. Emphasize critical thinking, creativity, and how the solution benefited your team or project.

Share specific statistical techniques you've applied, such as regression analysis or A/B testing. Discuss your experiences implementing these methods and any insights derived, showcasing your ability to leverage statistics in data analysis.

Discuss familiarity with cloud platforms like AWS, GCP, or Azure, and how you've utilized these for data storage, analysis, or visualization. Mention any relevant projects or certifications to show your hands-on experience.

Talk about your strategy for task prioritization, perhaps using frameworks like the Eisenhower matrix or prioritizing based on deadlines and impact. Illustrate your ability to balance different responsibilities effectively.

Express genuine interest in Puzzle's mission and values, highlighting aspects of the company culture or the specific role that excite you. Personalize your answer to reflect how your values align with the company's goals.