Operations Data Analyst

As an Operations Data Analyst at Tempus, you will support the partnership development between Tempus and the Life Sciences industry, specifically by identifying patient cohorts for our oncology data licensing business. You’ll also collaborate with our Pharma Business Development and Strategy & Operations teams to generate tailored cohorts that bolster pharma research, and you'll monitor inbound requests to gain insights into customer needs.

Tempus typically requires 1-3+ years of relevant experience, especially in analytical or consulting roles within the Life Sciences or Healthcare sectors. A bachelor's degree is preferred, although substantial professional experience is also valued. Proficiency in SQL, R or Python, and strong skills in Excel or Google Sheets are essential for success in this role.

In the Operations Data Analyst role at Tempus, you’ll handle unstructured data, ensuring efficient data manipulation and cleaning. Your expertise will enable you to translate raw data into valuable insights that inform strategic decisions and drive research initiatives within oncology and patient care, ultimately enhancing the impact of our work in healthcare.

Key skills for an Operations Data Analyst at Tempus include strong analytical capabilities, proficiency in coding languages such as SQL, R, or Python, and familiarity with spreadsheet software. Strong communication skills to build client-ready deliverables, the ability to navigate ambiguity, and self-motivation are also critical for thriving in our fast-paced work environment.

The Operations Data Analyst position at Tempus is a hybrid role, allowing employees to balance working both onsite and remotely. This offers a flexible working environment while ensuring that team collaboration and engagement remain high, crucial for driving projects forward in our innovative healthcare initiatives.

When answering this question, highlight specific projects where you've used SQL, R, or Python successfully. Talk about your familiarity with data manipulation and analysis, giving concrete examples of how you've turned data into actionable insights in previous roles.

Demonstrate your organizational skills by explaining how you assess project urgency and impact. Discuss the tools or methods you use for task management and how you maintain communication with team members to align priorities effectively.

Discuss specific methodologies for processing unstructured data, such as cleaning techniques, data transformation, and analysis. Provide examples of how you’ve handled unstructured data in past projects to convert it into useful insights.

Talk about how you utilize visualizations and clear, concise reporting to present your findings. Emphasize the importance of understanding your audience and adapting your communication style to ensure stakeholder engagement and comprehension.

Provide a real-life example that illustrates your critical thinking skills. Detail the problem, approach, tools used, and final outcome. Highlight the impact of your solution on the team or project to showcase your analytical prowess.

Express your passion for making a difference in healthcare through data analytics. Discuss what excites you about Tempus’ mission and how it aligns with your experience and career goals, focusing on the innovative aspects of precision medicine and analytics.

Share an example where you've had to pivot quickly due to shifting project needs or unexpected challenges. Explain how you assessed priorities, communicated changes to your team, and ensured that essential deliverables were still met.

Discuss the analytical frameworks, statistical analyses, or visualization techniques you apply to interpret data effectively. Provide examples of how your insights have driven decisions or project outcomes in previous roles.

Illustrate your teamwork abilities by discussing a project where you worked with cross-functional teams. Explain how you ensured alignment and communication among stakeholders, contributing to the project's overall success.

Mention specific tools you're proficient with, such as SQL databases, R or Python libraries for data analysis, and Excel for reporting. Highlight how these tools have helped streamline your workflow and improve the quality of your analyses.