Data Analyst

As a Data Analyst at Doctors.net.uk, your main responsibilities will include creating and maintaining client dashboards and reports, analyzing data for actionable insights, and refining client KPI models. You'll collaborate with various teams to ensure our data strategies align with commercial objectives, becoming an integral part of our mission to support healthcare professionals.

To apply for the Data Analyst role at Doctors.net.uk, you should have at least 5 years of experience in data analysis, proficiency in data visualization tools such as Tableau and Power BI, and strong skills in SQL and Python. A solid understanding of data compliance, notably GDPR regulations, is also essential to ensure data integrity across our solutions.

The Data Analyst role is vital to Doctors.net.uk's business objectives as you will be responsible for converting complex data into insightful reports and dashboards. This work directly supports our commercial strategies by informing decision-making and enhancing our services to better meet the needs of our clients in the healthcare industry.

In the Data Analyst position at Doctors.net.uk, you'll utilize a variety of tools and technologies, including data visualization software like Tableau, Power BI, and Qlik, as well as programming languages such as SQL and Python. Familiarity with data frameworks like DBT will help in enhancing our data pipelines and reporting capabilities.

As a Data Analyst with Doctors.net.uk, you can expect a comprehensive benefits package including 25 days of annual leave, participation in a company bonus scheme, group life cover, and a pension scheme with employer contributions. Additionally, you’ll enjoy medical benefits and discounts on gym memberships, contributing to your overall well-being and work-life balance.

When discussing your experience with data visualization tools, focus on specific projects where you utilized tools like Tableau or Power BI. Describe how these tools helped communicate insights effectively, improved team decision-making, and ultimately impacted business outcomes.

To ensure data accuracy, explain your process for data validation, including regular checks for data integrity before launching any dashboards or reports. Mention any specific methodologies or tools you use to verify data sources and ensure compliance with data standards.

Share a relevant example where your analysis led to significant business insight. Focus on the analytical methods you employed, the impact of that insight on decision-making, and how you presented your findings to stakeholders.

Discuss your method for requirement gathering, emphasizing effective communication and collaboration. Mention techniques such as interviews, surveys, or workshops that you use to understand the needs of stakeholders clearly.

Indicate how you stay informed on data analysis trends, whether through industry forums, webinars, or professional networking. Mention any specific resources you rely on, highlighting your dedication to continuous learning in this fast-evolving field.

When discussing KPI refinement, explain your analytical process: reviewing existing KPIs, consulting stakeholders for their feedback, and applying data-driven insights to enhance their relevance and effectiveness in measuring performance.

Share an example demonstrating your collaboration skills. Highlight how you engaged with teams like product management or engineering, focusing on the communication strategies you employed to align goals and achieve project success.

Explain your understanding of storytelling with data by outlining how you translate complex datasets into relatable narratives. Describe your approach to highlight key insights while maintaining clarity to ensure your audience can easily understand the implications.

Discuss your approach to handling large datasets, mentioning programming languages like SQL or Python, as well as any analytical frameworks or libraries you use, such as Pandas. Highlight your techniques for data cleaning and transformation to guarantee meaningful results.

In your response, express your enthusiasm for the healthcare sector and how Doctors.net.uk's mission aligns with your career goals. Talk about your admiration for their data-driven approach and how you see yourself contributing to their innovative work in supporting doctors.