Senior Insight Analyst

As a Senior Insight Analyst at UNiDAYS, you will be responsible for leading analytical projects from brief to delivery. This includes deriving actionable insights that drive commercial and marketing outcomes, managing stakeholder communications, and fostering collaboration within the analytics team. Your role will allow you to focus on both tactical and strategic decision-making, ensuring strong impact from your analytics work.

To be considered for the Senior Insight Analyst role at UNiDAYS, you should have significant prior experience in an insight or marketing/commercial science role. An academic degree in a numerate or statistical subject is ideal, though equivalent experience is also valued. Familiarity with statistical methods, data visualisation tools, and proficiency in SQL and Excel are essential qualifications for this position.

At UNiDAYS, professional development is a key priority. As a Senior Insight Analyst, you’ll have opportunities to collaborate with peers, participate in training sessions, and access resources to enhance your analytical skills. We promote a culture of continuous learning, encouraging you to stay updated with the latest analytical tools and methodologies relevant to your projects.

A Senior Insight Analyst at UNiDAYS should possess advanced proficiency in SQL and Excel/Google Sheets, with a strong understanding of statistical methods. Familiarity with visualisation tools such as Tableau or PowerBI, and experience with Python for data analysis are also highly desirable. Comfort with handling a variety of data sets will be crucial for effective analysis and insights.

Working at UNiDAYS as a Senior Insight Analyst is an exciting experience fostered by a fast-paced and fun work culture. You’ll enjoy the flexibility of working from home or one of our campuses, regular team-building activities, and a supportive environment that values creativity and initiative. Employee well-being is a priority, making it a great place to build your career.

When answering this question, share specific examples of statistical methods you've applied, such as A/B testing or time series analysis. Highlight how you approach data sets and the tools you utilize, such as SQL and Python, to extract meaningful insights.

Be prepared to narrate a project that highlights your analytical skills and stakeholder management. Emphasize how you approached the challenge, your analytical process, and how the insights affected decision-making. This showcases not only your technical skills but your ability to communicate effectively.

Discuss your strategies for organization and prioritization, such as using project management tools or frameworks. This answer will highlight your ability to work efficiently and adapt to the demands of various stakeholders.

Talk about specific visualisation tools, like Tableau or PowerBI, and explain why you choose certain techniques for different data sets. Highlight your understanding of your audience and how the right visualisation can enhance storytelling and decision-making.

Illustrate your communication skills and your approach to relationship-building. Describe an instance where you successfully collaborated with cross-functional teams to gather requirements and deliver impactful insights, focusing on how you adapted your communication style based on the audience.

Talk about the checks and balances you put in place to verify your analyses, such as data validation techniques, quality assurance processes, and the significance of adhering to data governance guidelines to maintain data integrity.

Express your commitment to staying updated with the latest industry trends, techniques, and technologies through workshops, online courses, and conferences. Share how you apply new knowledge to improve your analytical work and contribute to your team’s success.

Provide a concrete example that demonstrates your ability to connect your work to business outcomes. Describe how you formulated recommendations and the impact those insights had on strategic initiatives within your organization.

Mention tools you’ve used regularly, such as SQL, Python, R, and any data visualisation platforms. Highlight your proficiency level and how these tools facilitate your analysis processes for actionable insights.

Discuss your passion for data and problem-solving. Share your strategies for maintaining motivation, like setting personal milestones, engaging with your colleagues for collaboration, or exploring creative solutions to challenging problems.