Advertising Analytics Lead at Microsoft

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Methods, Data Visualization, AI Capabilities, Strategic Mindset, Client Advising, Data Handling, PowerBI, Tableau, DAX, R, SQL, Data Privacy, Governance, Reporting, Automation

Industry

Software Development

Description

Overview Microsoft Advertising is shaping the future of digital advertising, empowering advertisers across the world to connect with people and grow through intelligent, data‑driven solutions. In this role, you’ll join a team that thrives on analytical curiosity, exploring vast datasets, experimenting with new AI capabilities, and pushing the boundaries of how insights can drive measurable impact. You’ll bring a passion for data, a sharp strategic mindset, and a desire to pioneer what AI‑enhanced analytics looks like for advertisers in a rapidly evolving industry. As an Analytical Lead, you’ll help advertisers in the French market solve critical business challenges using insights, acting as a trusted advisor leading to client partnerships and campaign performance. You’ll blend deep analytical expertise, modern data‑handling skills, and sharp visualisation techniques to diagnose opportunities, shape strategy, and guide clients toward smarter investments while working at the frontline of AI‑powered analytics, piloting new tools and models, design future‑ready workflows, and help define what world‑class measurement looks like in an AI‑driven industry. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will leverage deep client insights and industry knowledge, proactively anticipating business questions and identifying opportunities to provide enhanced or automated solutions to respond appropriately. You will work across multiple data sources to assess data requirements, evaluate sufficiency and quality, integrate datasets using the right statistical methods, and select the most appropriate analytical tools and techniques to answer complex business questions—guiding others on best‑practice approaches along the way. You will develop internal and client-facing presentations that effectively convey analyses through reports, data visualizations, self-service platforms, key performance metrics, and talking points that highlight relevant insights. You will proactively engage internal and external stakeholders to identify and act on opportunities to leverage resources and solutions that have been instrumental to success in similar contexts, consulting across industry verticals and client teams on decisions related to analyses and their interpretation. You will identify, promote, and implement methods that can create systematic efficiency in core work related to analytics and reporting, ensuring they are reusable, readily discoverable by decision makers, self-service, and directed to meaningful interpretation of data that drives business decisions. You will experiment with and operationalize new AI and automation capabilities, piloting models, testing workflows, and driving adoption of intelligent tools that enhance insight quality and team efficiency while championing responsible AI usage in analytics. You will maintain expertise in data privacy and governance rules and regulations. Qualifications Required Qualifications: Experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, 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. English Fluency. French Fluency. Preferred Qualifications: Experience in statistics, mathematics, analytics, data science, engineering, computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience. Experience using tools such as PowerBI/Tableau, DAX, SQL for data manipulation and visualization on large datasets. Experience in a partner or account management/client service/client-facing role. Experience in digital media, data analysis, and data management. Experience in the advertising, digital marketing, or media industry (or closely related domains), with a solid understanding of how data and analytics drive campaign performance and client outcomes. #MicrosoftAI This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves leveraging deep client insights and industry knowledge to proactively identify business questions and develop enhanced or automated analytical solutions for advertisers in the French market. Responsibilities include integrating various data sources, applying statistical methods, developing client-facing presentations, and piloting new AI and automation capabilities to drive measurable impact.