Senior Data Analyst

As a Senior Data Analyst at Everly Health Solutions, you will be responsible for building and optimizing the reporting infrastructure, analyzing data to provide recommendations to stakeholders, exploring unstructured data from various sources, and collaborating with business teams on analyses that uncover trends. Your contributions will play a vital role in shaping business strategies and initiatives.

To qualify for the Senior Data Analyst position at Everly Health Solutions, you should have at least 5 years of progressive experience in analytics or reporting within a healthcare technology environment. Mastery of SQL, proficiency in BI tools like Looker or Tableau, and a strong understanding of data architecture are essential. Excellent problem-solving abilities and strong communication skills are also crucial for success.

The Senior Data Analyst at Everly Health Solutions contributes to business decisions by providing thorough data analyses, synthesizing findings for business leaders, and identifying opportunities for improvement. By turning complex data into actionable insights, you help guide strategic initiatives and operational enhancements across the company.

In the Senior Data Analyst role at Everly Health Solutions, you will work with a variety of tools and technologies, including SQL for database management, BI tools like Looker and Excel for data visualization, and data pipeline tools like Airflow and Fivetran. Familiarity with Snowflake or SQL Server will also be important for effectively managing our data architecture.

As a Senior Data Analyst at Everly Health Solutions, you can expect a dynamic and fast-changing work environment. The company culture embraces flexibility and adaptability, encouraging team members to devise best practices in response to ambiguity. You'll be part of a high-growth, startup-like atmosphere where your contributions will be significant and valued.

In your response, highlight specific data visualization tools you've used, such as Looker or Tableau. Explain how you've utilized these tools to present complex data in a way that informs stakeholders and drives decision-making. Share an example of a successful project where data visualization played a critical role.

Discuss your strategy for project management, including how you assess project urgency and importance. Explain any tools or methodologies you use to keep tasks organized. Share an experience where you managed multiple projects, detailing how you allocated your time and resources effectively.

Choose a specific scenario where you used SQL to extract, analyze, or visualize data. Detail the problem you were faced with, the SQL methods you employed, and the outcomes of your work. Highlight your analytical thinking and problem-solving skills.

Discuss methodologies you implement to validate and clean data. This can include data quality checks, automated processes, or collaboration with data engineers. Emphasize the importance of accuracy and what impact it has on business outcomes.

Explain your methods for engaging with stakeholders to understand their data needs. You can talk about how you tailor your analyses based on their input and how you communicate findings effectively to ensure they comprehend complex information.

Outline your technical skills, focusing on mastery of SQL, proficiency with BI tools, and experience with data modeling. Be specific about your expertise with platforms like Snowflake or SQL Server. Relate these skills to how they will benefit your performance in the role.

Describe your approach to tackling ambiguity, such as breaking down tasks into manageable parts and seeking clarifications from stakeholders. Share an example of a project where you effectively navigated unclear directions to achieve success.

Reflect on your passion for using data to drive improvements in healthcare. Discuss how you believe data can facilitate better decision-making and operational efficiencies, sharing your enthusiasm for making a positive impact on people's health through your work.

Choose a project that showcases your analytical skills and contributions. Describe the objectives, analysis methods, results, and how it influenced decision-making. Be sure to highlight your role in leading the initiative.

Discuss your approach to creating reports tailored to your audience. This can include simplifying complex terminology, employing effective visualizations, and ensuring that the actionable insights stand out. Share an example where you successfully made a report accessible for non-technical stakeholders.