Data Analyst Engineer

As a Data Analyst Engineer at Casechek, your primary responsibilities include developing analytical data models that provide actionable insights across various business functions, collaborating with business teams to gather data requirements, and implementing end-to-end analytics solutions leveraging a modern technical stack. You will also focus on data architecture to improve data accessibility, governance, and quality.

To qualify as a Data Analyst Engineer at Casechek, you should hold a Bachelor’s or Master’s degree in a relevant field along with at least 4 years of experience in data or software engineering. Experience with multiple database systems and proficiency in Python or Scala are also essential, along with a strong foundation in data modeling, ETL/ELT processes, and business intelligence tools.

At Casechek, we believe in ambitious yet sustainable growth. Data Analyst Engineers are encouraged to establish personal growth goals and engage in mentorship opportunities. The collaborative culture fosters an environment where learning is a priority, allowing team members to contribute to each other’s development while scaling out the organization.

A Data Analyst Engineer at Casechek should have a strong foundation in data architecture, advanced SQL skills, and expertise in Python or Scala. Familiarity with cloud technology providers and experience building BI solutions using tools like Tableau or Power BI are also critical. Knowledge of data transfer technologies and data warehousing concepts is essential for success in this position.

The work environment at Casechek for a Data Analyst Engineer is highly collaborative, encouraging teamwork, and the exchange of ideas while also allowing for independent work. Emphasizing diversity and creativity, Casechek cultivates a culture where innovative solutions to healthcare challenges can thrive, making it a dynamic and supportive place to be.

When answering this question, discuss your experience with various data modeling techniques such as star schemas, snowflake schemas, and normalization forms. Provide examples of projects where you've implemented these techniques to drive business insights and operational efficiency.

Emphasize the importance of data validation practices, regular audits, and implementing data governance policies. Share specific methods you apply to monitor data pipelines, troubleshoot issues, and maintain accuracy in reporting.

Discuss your familiarity with ETL tools and frameworks, along with specific projects where you've designed and implemented ETL solutions to extract, transform, and load data efficiently. Highlight the complexities you faced and how you overcame them.

Be prepared to specify which cloud technology providers you’ve used, such as AWS, Azure, or GCP, and detail your role in deploying data solutions. Mention any specific services like Azure Synapse or BigQuery that you have utilized to accelerate data processing.

Explain your process of engaging with stakeholders by starting with interviews and workshops. Stress on your ability to ask pertinent questions to uncover underlying needs and ensure that the final data solution meets their expectations.

Discuss your proficiency in BI tools such as Tableau or Power BI, providing examples of dashboards or reports you have created. Highlight how these visualizations aided in decision-making and how they were received by stakeholders.

Talk about your methods for project management, such as utilizing tools for task prioritization and how you communicate with your team about deadlines. Share examples of past experiences where you balanced competing priorities effectively.

Detail a specific project where you faced a significant data challenge—discuss the steps you took to analyze the problem, the solution you proposed, and the positive outcome it generated for the organization.

Mention your experience with languages like Python and Scala, and elaborate on your coding standards for maintainability, including code reviews and version control practices. Illustrate how clean coding contributes to team productivity.

Reflect on your passion for healthcare innovation and how Casechek’s mission aligns with your professional aspirations. Share what excites you about the company's culture, innovative approach, and collaborative environment.