Senior Data Analyst | Product Analytics Team

As a Senior Data Analyst at Wellhub, your main responsibilities include collaborating with Product Managers to analyze and monitor new features, generating product-focused dashboards, and delivering actionable insights based on user data. You will also identify opportunities for improvement, ensure high-quality data, and champion data governance practices.

Essential skills for the Senior Data Analyst role at Wellhub include strong SQL proficiency, experience with data visualization tools like Tableau, and the ability to communicate complex data insights effectively to a non-technical audience. A solid understanding of data governance and automation opportunities will further enhance your contributions to the team.

To apply for the Senior Data Analyst position at Wellhub, candidates typically should have experience managing stakeholder requests, strong analytical skills, and proficiency in SQL. A background in data visualization and a passion for driving impact through data insights are also highly regarded.

Wellhub deeply values employee wellbeing, offering a flexible work environment, comprehensive health benefits, and wellness resources. As a Senior Data Analyst, you will enjoy access to fitness programs, mental health support, and a culture that empowers you to prioritize your well-being while contributing to our mission.

At Wellhub, we provide outstanding opportunities for personal and professional growth, especially for Senior Data Analysts. You will have access to development programs, be encouraged to pursue skills enhancement, and work alongside ambitious global colleagues, all within a supportive and diverse culture.

When answering this question, emphasize your hands-on experience with SQL, mentioning specific projects where you transformed raw data into actionable insights. Highlight any challenges you faced and how you overcame them using SQL, showcasing your problem-solving skills.

Discuss your systematic approach to data analysis, starting with defining key performance indicators (KPIs), collecting relevant data, and using visualization tools to present findings. Highlight your ability to draw actionable insights and how you communicate them with product teams.

When creating a dashboard, focus on understanding stakeholder needs first. Explain the importance of clarity, relevance of data, and the use of visual elements that make insights easily digestible. Share how you ensure that the dashboard evolves with stakeholder feedback and data changes.

Be ready to share a specific example where you identified a data inconsistency. Describe the steps you took to investigate and resolve the issue, emphasizing your attention to detail and the importance of data integrity in analytics.

When addressing this question, focus on using storytelling techniques and visual aids. Explain how you simplify complex concepts by relating them to business objectives and using clear, concise language that resonates with your audience.

Explain your method for aligning analyses with business goals by regularly engaging with key stakeholders, understanding their objectives, and adapting your analyses as business goals evolve. Share your experience in delivering reports that are actionable and directly tied to these goals.

When answering, mention specific data visualization tools you are comfortable with (e.g., Tableau, Looker) and share examples of projects where you used these tools to produce insightful reports or dashboards that drove business decisions.

Explain your process for assessing the urgency and impact of incoming requests, demonstrating your organizational skills. Emphasize the importance of regular communication with stakeholders to manage expectations and ensure timely delivery.

Share a specific project where your analytical work had measurable impacts on outcomes like increased user engagement or feature adoption. Detail the analysis you conducted, how you communicated the findings, and the results achieved.

Discuss your commitment to continuous learning and improvement, showcasing how you seek feedback on your work, stay updated on industry trends, and actively look for ways to enhance your analytical methods and output quality.