Data Analytics Manager
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Requirements
• To be successful in this role, you will demonstrate: • Leadership & Team Management: Proven ability to lead, motivate, and develop analytics teams. Experience managing diverse, cross-functional teams in a matrixed environment • Leadership & Team Management: • Strategic Thinking: Ability to set vision, strategy, and priorities for analytics in alignment with business objectives • Strategic Thinking: • Technical Excellence: Advanced proficiency in SQL & Excel for data manipulation and with data visuaisation tools (e.g. PowerBI). Strong knowledge of Python. Familiarity with cloud data platforms (e.g. Snowflake) • Technical Excellence: • Business Acumen: Detailed understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS • Business Acumen: • Stakeholder Engagement: Excellent communication and relationship-building skills. Ability to influence and collaborate with senior leaders and cross-functional teams • Stakeholder Engagement: • Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner • Storytelling: • Analytical & Problem Solving : Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality • Analytical & Problem Solving : • Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects • Leadership & Collaboration: • Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical • Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally • Excellent communication skills in English (additional European languages are a bonus) • Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description • Flexibility • Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team • Intellectual Curiosity • Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters • Delivery focus • Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy • Passion for our mission • Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’. • Our values: • Bachelor’s or Masters degree in a quantitative field (e.g. Mathematics, Statistics, Computer Science) or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience) • 6+ years of experience in data analytics, with at least 1 year in a managerial or leadership role • Experience managing analytics teams and delivering cross-domain analytics projects • Experience working across multiple business domains • The right to work in the UK, Italy, or Spain.
Responsibilities
• Team Leadership & Development: Lead, manage & develop the Data Analytics team, fostering a culture of technical excellence, innovation and continuous learning. Provide coaching, mentoring and professional development opportunities for team members • Team Leadership & Development: • Analytics Strategy & Vision: Work with the Head of Data & AI to set and communicate the analytics strategy and priorities, aligning with business goals, digital transformation initiatives, and regulatory requirements (e.g., GDPR) • Analytics Strategy & Vision: • Project Delivery & Oversight: Oversee the delivery of analytics projects, ensuring quality, timeliness, and measurable business impact. Allocate resources, manage workloads, and remove barriers to success • Project Delivery & Oversight: • Stakeholder Engagement: Partner with senior stakeholders to identify opportunities for data-driven decision-making, influence business strategy, and communicate analytics outcomes • Stakeholder Engagement: • Analytics & Insight Generation: Support your analytics team with complex elements of data analytics projects including statistical analysis, complex calculations and high priority dashboards • Analytics & Insight Generation: • Data Governance & Management: Partner with the Data Engineering Manager & Data Governance Manager to ensure alignment across your domains and that your Analytics team are gathering, preparing and analysing high quality data in accordance with internal policy & external regulation • Data Governance & Management: • Reporting: Report on analytics outcomes, team performance, and business impact to the Head of Data & AI and wider leadership. Present findings and recommendations in a clear, compelling manner • Reporting: • Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability • Process Automation: • Documentation & Knowledge Sharing: Ensure your team are consistently documenting methodologies, processes & findings and sharing their knowledge with the wider team to support transparency and reproducibility • Documentation & Knowledge Sharing: • Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools. • Continuous Improvement:
Benefits
• A busy role in a supportive team, with plenty of opportunities to learn • International scope – we operate in over 8 countries • Competitive base salary and annual discretionary bonus.