Senior Manager, Marketing Analytics

myGwork
Edinburgh
2 days ago
Create job alert

This job is with Skyscanner, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.At Skyscanner, we pride ourselves on letting the data lead decisions, and we need people passionate about using data to drive strategic decision making and accelerating the Skyscanner flywheel. We have an exciting opportunity for someone who is excellent at solving sophisticated business problems using data, to join our centralised Analytics team as a Senior Manager for Marketing Analytics .In this role, you will lead a team of high-performing analysts and partner closely with our Performance Marketing, Brand Advertising, PR & Social teams to profitably grow Brand awareness and drive user acquisition. Leveraging tools such as Geo testing, incrementality testing, causal inference, MMM and user LTV, you will contribute to informing channel spend allocation decisions and will guide channel performance optimisation (including optimising ROAS target setting at a market level for SEM bidding purposes, accounting for our understanding of marginal returns).Key Responsibilities: Team Leadership:Lead and develop a team of 4 analysts (at various levels), supporting their growth through coaching, feedback, and technical mentorship.Contribute to encouraging a culture of collaboration, innovation, and excellence within our centralised Analytics team.Act as a hands-on individual contributor when needed-guiding project prioritization, crafting analytical approaches, and ensuring high-quality, impactful delivery.Collaborator Management: Act as a trusted partner for senior collaborators, primarily in Marketing, to drive alignment and deliver actionable insights.Foster positive relationships across the organization to influence decision-making and champion a data-first approach.Strategy and Insights: Drive the definition and evolution of key business metrics to ensure alignment with strategic objectives.Use data-driven insights to identify growth opportunities and inform Marketing channel strategies.Performance Reporting and Business Impact: Ensure the business has a clear understanding of the key factors impacting Marketing channel performance.Collaborate with cross-functional teams to identify trends, uncover opportunities, and recommend actions to optimize performance.Team Prioritization and Focus: Help teams to effectively prioritize initiatives to align with business goals and collaborator needs.Balance competing demands on the analytics team, ensuring resources are allocated to high-impact, strategic priorities.Proactively communicate trade-offs and timelines with collaborators to manage expectations and ensure focus on value creation.Key Qualifications Experience:Strong track record with experience in analytics (Marketing analytics in particular, including an understanding of bidding strategies), with a proven success in leadership roles.Expertise in people management and talent development.Technical and Analytical Skills: Deep knowledge of analytical frameworks and techniques, with hands-on experience using tools such as Databricks (or similar SQL-based platforms) for large-scale data analysis.Strong understanding of A/B testing and experimentation design, including how to interpret results and translate insights into actionable recommendations.Experience defining core business metrics and developing scalable reporting processes. Proficiency in data visualization tools like Tableau to build clear, insightful dashboards for both technical and non-technical audiences.Leadership and Collaborator Engagement: Outstanding collaborator management and influencing skills, particularly with senior leaders (experience with product and engineering functions would be a plus).A strategic problem solver who can balance short-term priorities with long-term vision.Soft Skills: Excellent communication and interpersonal skills to collaborate effectively across diverse teams.Ability to manage complexity, navigate ambiguity, and prioritize effectively in a fast-paced environment.#LI-DNI

Related Jobs

View all jobs

Senior Manager Marketing Data & Insights Strategy

Senior Manager Data Analyst

Consulting Senior Manager (Basé à London)

Senior Ecommerce Manager

Senior Product Manager, Go-To-Market - TPR&C (R-17384) (Basé à London)

Senior Online Trading Manager

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.