Commercial Data Analyst

As a Commercial Data Analyst at Pharmacy2U, you'll be responsible for analysing eCommerce and commercial data to provide actionable insights that drive business growth. You’ll develop dashboards and reports that effectively track KPIs and site metrics, oversee high-level site performance analysis, offer strategic insights into user behaviours, collaborate with marketing teams, and provide data-driven recommendations regarding product launches and marketing initiatives.

To thrive as a Commercial Data Analyst at Pharmacy2U, you should possess expertise in Google Analytics, BigQuery, and SQL. Advanced knowledge with visualization tools, such as Tableau or PowerBI, is essential. Experience in a high-pressure environment and an understanding of ethical guidelines, particularly in the healthcare sector, will also be beneficial.

The role of a Commercial Data Analyst at Pharmacy2U is vital for extracting insights that impact business strategies. Your analysis will inform marketing strategies, enhance customer experiences, and support vital decisions around product offerings and pricing. By leveraging data effectively, you’ll help drive customer engagement and optimize overall business performance.

As a Commercial Data Analyst at Pharmacy2U, you'll join a dynamic, collaborative environment. You'll work in a team-oriented setting, engaging closely with cross-functional teams including marketing and operations, while enjoying the flexibility of hybrid working after your training. The company values employee well-being with extensive benefits, fostering a productive and enjoyable workplace.

Pharmacy2U is committed to continuous professional development for its employees. As a Commercial Data Analyst, you’ll have access to in-house training programs, updates on the latest industry trends, and opportunities for further certifications. The company also supports ongoing CPD activities to advance your career in data analytics.

When answering this question, highlight specific examples of how you've utilized Google Analytics in past roles. Discuss the metrics you've tracked, how you analyzed user behaviour, and any actionable insights you derived that influenced business decisions. Show your familiarity with interpreting data to derive significant user engagement trends.

Explain your approach to eCommerce analysis, emphasizing the tools and methodologies you prefer, such as A/B testing, cohort analysis, or funnel analysis. Discuss how you gather and utilize data from multiple sources to form a comprehensive picture, and provide an example of a time this yielded actionable insights.

When addressing this question, share the measures you take to verify the accuracy of your data, such as regular data audits, using automated scripts for data cleaning, or cross-referencing findings with other data sources. Emphasize your commitment to precision and integrity in analyses.

Choose a specific challenge you've faced in data analysis, detailing your role, the problems encountered, and the final results. Focus on explaining how you overcame the challenge, the techniques used, and the impact your project had on the organization or department.

Discuss your method for prioritizing tasks, such as project deadlines, impact on business objectives, or alignment with strategic goals. Explain how you assess the significance of each data set and make decisions to manage workflow efficiently while ensuring thorough analysis.

Share your experiences with different data visualization tools, such as Tableau or PowerBI, explaining your preference based on ease of use, features, and the ability to convey insights effectively. Provide examples of how you've successfully implemented these tools in previous projects.

Mention resources you utilize to stay updated, such as industry publications, webinars, online courses, or professional networks. Share how incorporating new trends has benefited your work in data analytics, demonstrating your commitment to continuous learning.

Emphasize the importance of cross-functional collaboration. Provide examples of how you've worked with marketing teams, such as aligning data insights with marketing strategies, suggesting customer-targeted promotions, or using feedback for data-informed adjustments.

Outline key performance indicators (KPIs) you track, such as conversion rates, average order value, or customer retention rates. Explain why you focus on these metrics, how you assess site effectiveness, and how they guide your analytical approach.

Share a specific instance where your data analysis led to a crucial business decision. Describe the data you provided, the recommendation made, and the outcome achieved, illustrating the real-world impact of your analytical contributions.