Data & Analytics Manager

As a Data & Analytics Manager at Vivo Energy, you'll be responsible for designing bespoke analyses and insightful dashboards that enhance strategic decision-making for our retail and commercial businesses. You'll manage data product creation projects from start to finish, ensuring that insights are delivered on time and meet the needs of senior managers. Additionally, you'll work with various teams to promote a data culture and drive improvements in data quality and automation.

Candidates for the Data & Analytics Manager role at Vivo Energy should have 5-10 years of experience in delivering analytics, ideally within consulting, financial services, or corporate strategy roles. Strong communication skills to engage with senior stakeholders are crucial, along with a proven ability to lead small multi-disciplinary project teams. Energy industry experience is preferred but not a mandatory requirement.

In your role as a Data & Analytics Manager at Vivo Energy, you will lead the charge in crafting innovative data products by building prototypes that demonstrate viability and guide the engineering and visualization teams. You'll collaborate closely with end users to ensure that the final products align with their needs and provide actionable insights, ultimately fueling data-driven decisions across the organization.

Success in the Data & Analytics Manager role at Vivo Energy hinges on your analytical skills, ability to communicate complex ideas simply, and your talent for influencing senior stakeholders. You should also be self-motivated and driven to meet tight deadlines, while possessing the ability to lead and work effectively with colleagues from diverse backgrounds.

The closing date for applications for the Data & Analytics Manager position at Vivo Energy is May 4, 2025. If you believe you have what it takes to make a significant impact in this role, we encourage you to apply before the deadline!

In answering this question, focus on specific projects you’ve worked on, the tools you’ve used, and any particular achievements. Emphasize experiences that highlight your ability to analyze data and drive decisions effectively.

When asked about dashboard design, highlight your process of understanding user needs, key metrics to track, and how you ensure the dashboard is user-friendly. Mention any tools you have experience with, such as Tableau or Power BI.

In your response, outline the project's objectives, your role, the challenges faced, and how you overcame them. Emphasize the impact of your work on the business and the skills that were essential for success.

Discuss your methods for validating data integrity, such as cross-referencing with finance teams or implementing data governance practices. Highlight any tools or techniques you use for tracking data quality.

Share a specific instance where your data insights led to a significant decision or strategy change. Focus on how you communicated the data effectively to ensure it resonated with executives.

Discuss how you leverage automation to improve efficiency in reporting processes, reduce errors, and provide timely insights. Mention any tools you've used for automation, like Python scripts or automation software.

Explain your commitment to continuous learning, whether through online courses, webinars, or following industry thought leaders. Mention any specific resources you find exceptionally helpful.

Highlight your experience collaborating with different departments, such as IT or finance. Discuss the importance of communication and teamwork in achieving project goals.

In your response, focus on the importance of understanding user needs, providing training sessions, and ensuring that feedback is taken into account for product enhancements.

Discuss your approach to project management, such as using tools like Agile methodologies or project management software, and how you assess project urgency and importance in your prioritization process.