Job Description

Data Analytics Lead - PowerBI - Lisbon (hybrid / remote)

Overview

#TeamCandour are looking to onboard a highly skilled Data Analytics Lead with advanced level proficiency in PowerBI & other reporting tools to join their thriving international financial services client working on a hybrid basis out of their office in Lisbon. This role is pivotal in designing, implementing, and managing reporting solutions and self-service analytics capabilities across the organisation. As a bridge between business stakeholders and technical teams, you will ensure data is accessible, reliable, and actionable to support informed decision-making.

This position offers an exciting opportunity to lead a team of analytics professionals, establish best practices, and drive innovation in a forward-thinking organisation that values diversity, collaboration, and continuous improvement.

Responsibilities

• Strategy & Vision: Developing and communicating a clear vision for reporting and self-service analytics, ensuring alignment with organisational goals and data strategy.
• Stakeholder Engagement: Collaborating with business units, leadership, and IT to gather reporting requirements, understand business challenges, and prioritise initiatives.
• Solution Design & Delivery: Leading the design, development, and deployment of robust reporting frameworks and self-service tools (e.g., Power BI, Dataiku) to ensure scalability and ease of use.
• Enablement & Training: Driving user adoption by creating training programs, user guides, and best practice documentation to empower users to build and interpret their own reports.
• Data Governance: Implementing and upholding data governance standards to ensure data accuracy, security, and compliance across reporting and self-service platforms.
• Continuous Improvement: Monitoring reporting usage and feedback to proactively identify opportunities for process improvement, automation, and innovation.
• Team Leadership: Leading and mentoring the analytics chapter and enablement specialists to foster a culture of collaboration and excellence.
• Vendor & Tool Management: Evaluating, managing, and optimising reporting and analytics tools, working closely with vendors and IT for enhancements and issue resolution.

Qualifications

To excel in this role, you should possess the following qualifications and skills:

• Technical Proficiency: Advanced skills in BI/reporting tools (e.g., Power BI, Dataiku), SQL, and data modelling.
• Business Acumen: Strong understanding of business processes, KPIs, and how data supports strategic objectives.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex data concepts for non-technical audiences.
• Project Management: Proven experience managing multiple projects, timelines, and stakeholders.
• Change Management: Demonstrated ability to drive adoption of new technologies and ways of working.
• Problem-Solving: Analytical mindset with a proactive approach to identifying and resolving issues.
• Leadership: Experience leading teams and fostering a culture of knowledge sharing and continuous improvement.

Day-to-Day

A typical day in this role may include:

• Collaborating with business leaders to understand their reporting needs and translating them into actionable solutions.
• Leading the development and deployment of user-friendly reporting tools and dashboards.
• Conducting training sessions and creating user guides to empower colleagues to utilise self-service analytics tools effectively.
• Monitoring the performance and usage of reporting tools, identifying areas for improvement, and implementing enhancements.
• Ensuring data governance standards are adhered to, maintaining the accuracy and security of data assets.
• Mentoring and supporting the analytics team to foster a collaborative and innovative working environment.
• Engaging with vendors and IT teams to optimise analytics tools and resolve any technical issues.

Curious? We're always available to jump on a call to run through the finer details, reach out anytime!