Data Visualization Engineer - job 1 of 2

As a Data Visualization Engineer at Tempus, your primary responsibilities include creating visually compelling dashboards that synthesize clinical data, ensuring data quality and accuracy, performing custom analyses to support account managers and clinicians, and empowering product teams to conduct independent data investigations. You'll be instrumental in facilitating real-time insights that significantly improve healthcare outcomes.

To apply for the Data Visualization Engineer position at Tempus, candidates typically need at least three years of hands-on experience in developing data visualizations and proficiency with Business Intelligence tools such as Looker, Tableau, or Power BI. Strong SQL skills, excellent communication abilities, and the capacity to collaborate with multidisciplinary teams are also essential.

The Data Visualization Engineer at Tempus enhances patient care by developing tools that translate complex healthcare data into accessible insights for providers. This role directly impacts clinical decision-making by identifying gaps in patient care, thereby ensuring the right treatments are applied at the right time, facilitating a more effective healthcare experience.

At Tempus, Data Visualization Engineers work with a variety of technologies, including BigQuery, Snowflake, and Looker for data processing and visualization. Familiarity with SQL, cloud platforms like Google Cloud Platform (GCP), and programming languages such as Python is also beneficial for success in this position.

While having prior experience in healthcare can be beneficial, it is not strictly necessary to apply for the Data Visualization Engineer role at Tempus. What’s important is a strong foundation in data visualization and BI tools, as well as a passion for improving healthcare outcomes through innovative data solutions.

In response to this question, detail your past projects where you've utilized Looker or similar BI tools. Highlight your understanding of the analytics process, how you've created dashboards, and how these visualizations have led to actionable insights. Provide specific examples to illustrate your experience.

When discussing data accuracy, explain your methodology for verifying the integrity of the data before it enters your visualizations. Discuss techniques like data cleaning, validation processes, and how you cross-reference data sources to ensure that the dashboards you create deliver reliable insights.

Approach this question by describing your openness to feedback and how you actively seek input from stakeholders. Discuss specific strategies you use to incorporate their suggestions and how you continuously iterate on your dashboards to better meet their needs, demonstrating your commitment to collaboration and improvement.

When faced with this question, select a specific project where you encountered obstacles—be it technical limitations or collaboration issues. Walk the interviewer through how you approached these challenges, the solutions you implemented, and what the outcomes were. This illustrates not just your problem-solving skills, but also your resilience.

Discuss the programming languages relevant to the Data Visualization Engineer role, such as SQL, Python, or JavaScript. Provide examples of how you’ve used them in real projects—perhaps in scripting for data transformation or in creating interactive visualizations. Be sure to emphasize any specific libraries or frameworks you are familiar with.

For this question, explain your time-management strategies and tools you use, like JIRA or Trello. Discuss how you assess project deadlines, gauge workflow, and communicate with teammates to ensure alignment on priorities. This shows your organizational skills and ability to deliver under pressure.

Share what aspects of the role you find fulfilling, such as the opportunity to make a tangible impact on patient care or the creativity involved in transforming data into compelling narratives. Your passion for the field will resonate with interviewers and reflect your dedication to the job.

In your response, mention any industry publications, online courses, or communities you engage with to stay informed. Discuss how you apply new trends and tools to your work, demonstrating your initiative and commitment to professional development in the fast-evolving field of data visualization.

When answering, provide a specific case where your visualization clearly influenced a decision-making process. Explain the context, what insights were gained from your work, and how it ultimately affected the outcome. This illustrates the direct impact of your role in the company.

Discuss your experiences working with cross-disciplinary teams and the value of diverse perspectives. Describe how these collaborations can lead to innovative solutions and emphasize your adaptability and communication skills that facilitate effective teamwork.