Senior Data Analyst

As a Senior Data Analyst at Comscore, your key responsibilities will include autonomously managing cross-functional projects, analyzing data to derive insights, and providing visibility into metrics utilized by the panel recruitment team. You'll regularly review performance metrics for recruitment and retention, deliver reports to the Panel Ops team, and collaborate with various teams to refine user experiences and implement quality assurance measures.

To qualify for the Senior Data Analyst role at Comscore, you should possess 5-8 years of relevant experience, including 1-2 years familiarity with Comscore's offerings and methodologies or related market research experience. Project management experience is also essential, along with strong collaboration skills to effectively influence and partner with diverse teams.

At Comscore, we recognize the importance of continuous growth and development. As a Senior Data Analyst, you'll have access to various training opportunities, mentorship, and the chance to engage in collaborative projects. Our commitment to innovative practices allows our analysts to stay ahead in their field while contributing to meaningful initiatives that shape the future of media measurement.

The salary range for a Senior Data Analyst at Comscore is geographically competitive, ranging from $80,000 to $97,000, depending on relevant experience. We believe in fair compensation commensurate with the skills you bring to the team, and we are dedicated to providing a supportive work environment that values every member's contribution.

Comscore fosters a positive and inclusive culture where teamwork and integrity are paramount. As a Senior Data Analyst, you'll thrive in a supportive environment where collaboration is encouraged, and innovative ideas are celebrated. We believe in teamwork and servant leadership, ensuring that every employee feels valued and empowered to make an impact through their expertise.

When answering this question, highlight specific projects where you performed data modeling, discuss the tools you used, and the insights you gained. Emphasize how your analysis led to actionable recommendations, showcasing your ability to translate data into strategic business decisions.

Discuss your approach to prioritization, such as using project management tools, defining project scopes, and maintaining open communication with stakeholders. Give examples of situations where you successfully juggled competing projects, illustrating how your organizational skills contributed to on-time delivery.

In your response, cover the quality assurance processes you have implemented in previous roles, such as peer reviews, validation of findings with external sources, and systematic checks for data accuracy. Emphasize the importance of maintaining high analytical standards to improve project outcomes.

Frame your answer by outlining your steps in data collection, analysis, and interpretation of panel metrics. Discuss methods for extracting key insights, considering objectives laid out by the Panel Ops team, and how those metrics can drive recruitment and retention strategies.

For this question, share a detailed example of a project where your analysis led to improved efficiency. Highlight the data-driven approach you took, how you measured success, and the positive outcomes that followed, demonstrating your impact on operational improvements.

Discuss your communication style and how you tailor your presentations based on the audience. Provide examples of how you've presented complex findings to non-technical stakeholders, ensuring clarity while emphasizing actionable insights that influence decision-making.

Share the specific tools and technologies you are skilled in, such as SQL, Python, R, or visualization tools like Tableau or Power BI. Give examples of how you've used these tools creatively to address analytical challenges within your previous roles.

Express your commitment to ongoing education by mentioning webinars, online courses, or industry publications you regularly read. Discuss how learning about emerging trends enhances your analytical capabilities and helps you bring innovative ideas to the team.

Detail the step-by-step strategies you follow for hypothesis testing, including defining hypotheses, choosing appropriate statistical tests, and analyzing results. Illustrate how your outcomes have influenced decision-making in past analytical projects.

Share a relevant story that highlights how you presented your analysis to influence a significant decision. Discuss your approach, the challenges faced, and the positive outcomes that resulted from your efforts to ensure your insights were actionable and impactful.