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Marketing jobs

8 marketing jobs

1 day ago

Head of Advertising Analytics

Microsoft

London, UK (Hybrid)Full time£100K/yr – £201K/yr

2 days ago

Google Ads Marketing Manager

LTF Design & Marketing Ltd

Silverstone, Milton Keynes, UK (Remote)Full time£27K/yr – £36K/yr

3 days ago

Advertising and marketing associate professional

Ruby Chinese Takeaway

UK (Remote)Permanent£42K/yr – £43K/yr

7 days ago

Senior Director, Industry Strategy (Advertising)

Zappi

London, UK (Hybrid)Full time£135K/yr – £145K/yr

7 days ago

Senior Director, Industry Strategy (Advertising)

Zappi

London, UK (Remote)Full time£135K/yr – £145K/yr

10 days ago

Field Marketing Lead

BigHand

London, UK (Hybrid)

13 days ago

Senior Account Manager

R4 Advertising

Cardiff, UK (On-site)Full time

13 days ago

Content and Digital Campaigns Executive

Advertising Standards Authority

London, UK (Hybrid)Contract

All Advertising roles in the UK

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All Advertising roles in the UK

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8 jobs

Head of Advertising Analytics

Microsoft

London, UK (Hybrid)

£100K/yr - £201K/yrIn-houseFull-timeDirector/executive

1 day ago

Google Ads Marketing Manager

LTF Design & Marketing Ltd

Silverstone, Milton Keynes, UK (Remote)

£27K/yr - £36K/yrIn-houseFull-timeSenior level3+ years exp.

2 days ago

Advertising and marketing associate professional

Ruby Chinese Takeaway

UK (Remote)

£42K/yr - £43K/yrIn-housePermanentMid level

3 days ago

Senior Director, Industry Strategy (Advertising)

Zappi

London, UK (Hybrid)

£135K/yr - £145K/yrIn-houseFull-timeSenior level

7 days ago

Senior Director, Industry Strategy (Advertising)

Zappi

London, UK (Remote)

£135K/yr - £145K/yrIn-houseFull-timeSenior level10+ years exp.

7 days ago

Field Marketing Lead

BigHand

London, UK (Hybrid)

In-houseSenior level

10 days ago

Senior Account Manager

R4 Advertising

Cardiff, UK (On-site)

AgencyFull-timeSenior level

13 days ago

Content and Digital Campaigns Executive

Advertising Standards Authority

London, UK (Hybrid)

AgencyContractMid level

13 days ago

Microsoft

Head of Advertising Analytics

London, UK (Hybrid)

£100K/yr – £201K/yrDirector/ExecutiveFull time

Posted 1 day ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Lead and develop a data analytics team focused on delivering data-driven insights, governance, and scalable analytics across client projects and internal initiatives; drive data quality, cross-team collaboration, and compelling storytelling from analyses to influence leadership decisions.

Own data strategy execution, team growth, and cross-functional collaboration.
Oversee data pipelines, privacy governance, and repeatable analytical methods that scale.
Communicate complex analyses to diverse audiences and translate insights into actionable business outcomes.

Job Description

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. Supervises team's data analyses, feedback, and that recommendations are accessible and easily understood by the relevant stakeholder groups, and ensures accountability and efficiency in delivering outcomes that are aligned with client, industry, and business needs.
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. Identifies appropriate internal and/or external stakeholders to update or improve data privacy and governance practices to better align to industry.
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. Coaches team in guiding optimal and innovative methods for operationalizing, sharing, and scaling insights, and coordinates automation of patterns of ad hoc analyses into regular reporting features. Shares thought leadership and partners with leaders to leverage and implement automated methods for use in data collection, reporting, and analysis, while contributing to operational tracking to ensure work actions and decisions are appropriately measured.
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. Guides own and team's actions across networks of peers and client stakeholders to leverage resources and solutions that were instrumental to success in similar contexts, and shares expertise on industry vertical, clients, and competitors across teams to inform decision-making related to advanced analyses and their interpretations.
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 and drives business outcomes internally, externally, and within industry verticals. Supports efforts to improve efficiency of reporting and presentations, and encourages others to share insights and build presentations that are accessible, that cultivate trust with clients, and that present relevant information accurately, clearly, and appropriately to influence decision-making for intended audience(s).
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 competitor's solutions, address the most impactful business needs, and adapt to anticipated industry trends. Identifies the appropriate scope and impact to develop solutions, builds and leverages connections with client's leadership, and includes appropriate stakeholders in scoping process. Coaches and encourages team members to broaden knowledge of clients' business and industry verticals.

Requirements

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. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
Solid knowledge of statistics, predictive modeling and data clustering/classification techniques.

Preferred

Experience in statistics, mathematics, analytics, data science, data analysis and reporting, business intelligence, business and financial analysis, or related field
OR equivalent experience.
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.

Microsoft

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Founded in 1975

Redmond, Washington, US

237K employees (11,715 in marketing)

news.microsoft.com

Traffic Signals

Monthly Visitors

1.3B

Monthly Google Ads Budget

$5.2M

Traffic Source Mix

33.6%

Direct

56.9%

Referral

7.3%

Social

0.4%

Paid

1.2%

Headcount Trend

Current headcount: ~225.8K

Marketing Team

Marketing Team Size

6,377 (3% of company)

Median Career Experience

21 years

Median Tenure

14.3 years

Marketing Roles Posted (Last 30 Days)

People

Founders / CEO

Sue Henin

Founder-Business Strategy & Marketing Consulting Services

At the company for 20 years 5 months

Marketing Leadership

Takeshi Numoto

Executive Vice President and Chief Marketing Officer

At the company for 28 years 11 months

Liza Magee

Chief of Staff for the Consumer Chief Marketing Officer & Executive Vice President, Microsoft

At the company for 18 years 5 months

Paige Johnson (she/her)

Vice President, Education & Media Industry Marketing

At the company for 5 years 4 months

Matt Barlow

Corporate Vice President of Marketing, Windows and Surface Devices

At the company for 26 years 3 months

Funding

Total Funding

$1M

Last Raise

$1M

Post IPO Equity, 3 years ago

Funding History

Dec 2022
Post IPO Equity
Jan 2020
Post IPO Equity
Sep 1981
Series Unknown • $1M

Recent News

Microsoft Elevate Washington: World-class AI for every student and teacher, right here at home

Oct 9, 2025 • The Official Microsoft Blog

Disrupting threats targeting Microsoft Teams

Oct 7, 2025 • Microsoft

Meet Microsoft 365 Premium: Your AI and productivity powerhouse

Oct 1, 2025 • Microsoft

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. Supervises team's data analyses, feedback, and that recommendations are accessible and easily understood by the relevant stakeholder groups, and ensures accountability and efficiency in delivering outcomes that are aligned with client, industry, and business needs.
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. Identifies appropriate internal and/or external stakeholders to update or improve data privacy and governance practices to better align to industry.
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. Coaches team in guiding optimal and innovative methods for operationalizing, sharing, and scaling insights, and coordinates automation of patterns of ad hoc analyses into regular reporting features. Shares thought leadership and partners with leaders to leverage and implement automated methods for use in data collection, reporting, and analysis, while contributing to operational tracking to ensure work actions and decisions are appropriately measured.
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. Guides own and team's actions across networks of peers and client stakeholders to leverage resources and solutions that were instrumental to success in similar contexts, and shares expertise on industry vertical, clients, and competitors across teams to inform decision-making related to advanced analyses and their interpretations.
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 and drives business outcomes internally, externally, and within industry verticals. Supports efforts to improve efficiency of reporting and presentations, and encourages others to share insights and build presentations that are accessible, that cultivate trust with clients, and that present relevant information accurately, clearly, and appropriately to influence decision-making for intended audience(s).
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 competitor's solutions, address the most impactful business needs, and adapt to anticipated industry trends. Identifies the appropriate scope and impact to develop solutions, builds and leverages connections with client's leadership, and includes appropriate stakeholders in scoping process. Coaches and encourages team members to broaden knowledge of clients' business and industry verticals.

Requirements

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. Working knowledge and familiarity in a combination of the following data manipulation and visualization tools is a plus: Python, R, PowerPivot, Microsoft Advertising API.
Solid knowledge of statistics, predictive modeling and data clustering/classification techniques.

Preferred

Experience in statistics, mathematics, analytics, data science, data analysis and reporting, business intelligence, business and financial analysis, or related field
OR equivalent experience.
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.