At a Glance
- Tasks: Lead a dynamic team to transform data into impactful business insights.
- Company: Join Microsoft Advertising, a global leader in digital advertising.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make a real difference by influencing decision-makers with data-driven storytelling.
- Qualifications: Experience in analytics, data visualisation, and strong people management skills.
The predicted salary is between 40000 - 200500 £ per year.
Overview
Microsoft Advertising is a global leader in digital advertising, helping advertisers grow through search, display, video, and retail media solutions. We are seeking a Head of Analytical Leads to lead a high-performing team that turns data into measurable business impact. In this role, you will manage a team of analytical leads across multiple markets in the EMEA region, delivering insights and recommendations that improve client performance and unlock new investment opportunities on the Microsoft Advertising platform. You will combine industry knowledge, digital marketing expertise, and advanced analytics to craft compelling, data-driven narratives that influence senior decision-makers through clear storytelling and visualisation.
The ideal candidate brings solid people leadership, analytical and consulting capabilities, and a proactive, challenger mindset, with the ability to partner effectively across teams and markets. At Microsoft, our mission is to empower every person and organisation to achieve more. We operate with a growth mindset, act with integrity and accountability, and foster an inclusive culture where everyone can thrive.
Responsibilities
- People Management: Deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual's capabilities and aspirations. Invest in the growth of others.
- Application of Data: Ensures team members evaluate the sufficiency of data between internal and external sources, drives accountability of identification and resolution of data quality issues, and encourages and coordinates cross-team collaboration and data sharing to build data pipelines or integrations. Leverages data, analyses, and learnings to articulate industry- and client-relevant stories and insights to various audiences and at industry events.
- Data Analysis: Builds best practices for team members to leverage and apply their expertise across client and business-related analytical needs. Guides and coaches team members through the execution of complex analyses to resolve analytical challenges, interpret results within a client context, and acts on opportunities with actionable recommendations.
- Data Privacy and Governance: Contributes knowledge across the team in data privacy and governance rules and regulations and guides others to uphold and apply updated data privacy and governance, maintain awareness of where to seek further expertise on such rules and regulations when needed, and leverage personal expertise to identify and share relevant best practices.
- Continuous Improvement, Efficiency, and Innovation: Guides the team to develop and implement methods that create systematic efficiencies in core work related to analytics and reporting that are reusable, readily discoverable, self-service, and directed to meaningful interpretation of data that drive impactful business decisions across the organization.
- Orchestration and Collaboration: Establishes and leverages strategic working relationships within and across internal and client teams to ensure data sources, methodologies, models, and analytical tools and processes are high-quality, and that recommendations are data-driven and appropriately relevant to clients' industry vertical(s) to consistently drive positive impact.
- Presentation of Results: Provides guidance to team members on the development and delivery of compelling and easily understood client-facing presentations of analyses, reports, data visualizations, etc. Provides guidance to team members on how to synthesize insights into a story, and proactively leverages stories to influence leadership and other senior stakeholders' decision-making.
- Understanding Client's Business: Advances own and team's comprehensive understanding of clients' business knowledge, including industry trends, clients' value propositions, and the competitive landscape to help drive sustainable long-term value over competitors' solutions.
Qualifications
Required Qualifications:
- Experience in statistics, mathematics, analytics, data science, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience.
- Experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets.
- People management experience.
- Effective in communicating complex analyses to a mix of both technical and non-technical partners and clients.
- Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights.
- Experience pairing data visualization with storytelling to deliver persuasive presentations that influence varying audience levels.
- Experience conducting, interpreting, and clearly communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions.
- Experience and proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization.
- Solid knowledge of statistics, predictive modeling and data clustering/classification techniques.
Preferred Qualifications:
- Experience in a partner or account management/client service/client-facing role.
- Experience in EMEA market.
- Experience in digital media, data analysis, and data management.
Head of Advertising Analytics in London employer: Microsoft Corporation
Microsoft is an exceptional employer that fosters a culture of inclusion, innovation, and growth, making it an ideal place for a Customer Success Account Manager. With a commitment to empowering employees through continuous learning and collaboration, you will have the opportunity to work with leading enterprise customers while developing your skills in a dynamic environment. The company's focus on respect, integrity, and accountability ensures that every team member can thrive and contribute to meaningful customer success stories.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Advertising Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Microsoft Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Advertising Analytics at Microsoft Corporation.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Microsoft Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Advertising Analytics at Microsoft Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Advertising Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Microsoft Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Microsoft Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Microsoft Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Microsoft Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
