Senior Data Analyst, Operations

As a Senior Data Analyst at Pomelo Care, you will create and analyze data reports, build dashboards to monitor key performance metrics, and work closely with operations teams to inform strategic decisions based on data insights. Your role will be instrumental in ensuring that the operations are data-driven, ultimately helping improve care delivery.

To qualify for the Senior Data Analyst, Operations position at Pomelo Care, candidates should have at least 4+ years of professional experience in data analytics, data science, or statistical analysis, with a strong proficiency in SQL. Experience with healthcare data and data visualization tools is a plus.

In the Senior Data Analyst role at Pomelo Care, you will potentially work with SQL for data manipulation, leverage visualization tools such as Looker or Tableau for reporting, and might touch upon programming languages like Python, depending on the scope of your projects.

The Senior Data Analyst at Pomelo Care plays a crucial role in fostering a data-driven culture within the organization. By providing actionable insights and supporting cross-team collaboration, you help ensure that all decisions are backed by solid data, enabling a collaborative approach to tackling healthcare challenges.

Pomelo Care offers a vibrant environment for professional growth, particularly for a Senior Data Analyst. With unlimited vacation and membership in networks that provide mentorship and development opportunities, you'll be able to continuously learn and evolve in your career while contributing to meaningful work.

When discussing your SQL experience, highlight specific projects where you've used SQL to extract, analyze, and visualize data. Mention your success in producing insightful reports and how those reports impacted decision-making processes.

Discuss your approach to project management, emphasizing the importance of understanding the project scope, deadlines, and stakeholder needs. Share strategies like utilizing project management tools and setting clear priorities based on impact.

Talk about your validation processes, such as cross-referencing data sources, conducting thorough checks, and collaborating with teams to confirm data integrity. Highlight the importance of accurate data in making informed business decisions.

Choose a specific example where you identified inefficiencies and proposed data-driven solutions. Detail the steps you took, the data used for analysis, and the positive outcome that resulted from your intervention.

Emphasize your ability to tailor your communication style based on your audience. Provide examples of how you've created visual presentations or simplified explanations that made data accessible and actionable for non-technical team members.

Describe your proficiency with data visualization tools like Tableau or Looker. Share specific instances where you created dashboards or visual reports that provided real-time insights and facilitated better decision-making.

Highlight your method for clearly defining the project goals, gathering requirements from stakeholders, and determining the appropriate analytical approach. Discuss how you ensure that the analysis aligns with business objectives.

Share your commitment to continuous learning through attending workshops, engaging with online communities, or subscribing to relevant journals. Show how staying current helps enhance your role as a Senior Data Analyst.

Discuss a specific challenging scenario where you faced obstacles. Explain your problem-solving approach, what data you leveraged, and how you arrived at a solution. This showcases your critical thinking and analytical skills.

Articulate your passion for maternal health and how Pomelo Care's mission resonates with you. Express your eagerness to utilize your skills in data analysis to contribute to meaningful healthcare outcomes, indicating both personal and professional alignment with the company's values.