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Posted 14 days ago
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Marketing Agency
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DESCRIPTION

Amazon Operations sits at the heart of the Amazon customer experience. We look after everything from the moment a customer clicks buy, to the moment their item is delivered – from desktop to doorstep. We do things on a massive scale – millions of packages pass through the hands of our Associates every year. For more insights, visit: -******

As a business, we do lots of things to attract, engage, support, motivate and enable the brilliant people who make it all happen. At the forefront of that effort, in Europe, sits our WFS (Workforce Staffing) Marketing team – a collective of talented individuals managing the media & marketing strategy, reporting, modelling & analytics, tools & systems. Our goal is attracting hundreds of thousands of associates yearly for various operational business lines (fulfilment centres, transportation, and logistics).
We are looking for an innovative Marketing Analytics Manager to support delivery of our expanding data requirements within WFS Marketing. They will help balance the structured and unstructured data, with a keen eye for ironing out data imperfections and a passion for storytelling, effectively communicating the meaning behind the data. Our new colleague will be a self-starter, comfortable with ambiguity, have an affinity for building from scratch, demonstrate strong attention to detail, and have the ability to work in a fast-paced, complex and ever-changing environment.

CORE RESPONSIBILITIES

· Develop marketing performance & spend dashboards with key metrics for review with senior leadership and business teams; synthesizing large quantities of data to help create new, step-change initiatives for the organization.
· Use statistical techniques and tools for strategic deep dives, generating actionable insights.
· Centralise marketing measurement reporting and synthesise insights to deliver campaign-level performance insights and recommendations for optimisation.
· Deliver action-oriented insights to further optimise the marketing strategy, through the development of Multi-Channel Attribution methodologies and Media Mix Modelling.
· Establish strong working partnerships with team members from Marketing, Finance, Data Science, Engineering and other stakeholders.

BASIC QUALIFICATIONS

· Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
· Proven professional experience in a marketing analytics or statistical analyst role
· Proven experience in marketing operations, ad tech, media planning, and media performance metrics
· Proven problem solving skills, project management skills, attention to detail, ability to influence others and exceptional organisational skills
· Ability to deal with ambiguity and competing objectives in a fast paced environment
· Be self-driven, and show ability to deliver on ambiguous projects with incomplete data
· Excellent communication (verbal and written) and interpersonal skills
· Ability to effectively communicate with both business and technical teams. Ability to work collaboratively with non-technical customers and team members and translate business questions into analytical requirements with ease

PREFERRED QUALIFICATIONS

· Advanced technical or business degree (MS or MBA)
· Outstanding ability to utilise data and insight to “story-tell” in a compelling manner to drive strategy
· Demonstrated ability to articulate a vision and deliver against a timeline and blueprint for analytics.
· Experience utilising marketing measurement methods, including A/B testing, multi-touch attribution, and media mix modelling.
· Strong candidates will have a curious mind, a passion for synthesising information from multiple sources, the ability to interpret data through the lens of Enterprise SaaS, and a habit of translating data into insights that drive action.
· Proven experience with digital analytics tool like GA360 or Adobe Analytics
· Direct experience with one or more major BI & data visualization tools including: Tableau, QuickSight, Power BI, Redshift, Athena, S3, EC2 etc.
·
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Amazon takes your personal data protection seriously and respects EU and local data protection laws. Unless you express otherwise, by submitting your CV you authorize the hiring Amazon company to store your personal data in the electronic database maintained by Amazon Corporate LLC. in the USA or one of its affiliates for the purpose of assessing your suitability for this and future job vacancies and to pursue your recruiting process.

If at any time you want your personal data to be deleted, you simply need to notify the hiring Amazon company. Amazon will not share your personal data with any third party without your prior consent. As part of your interview process with Amazon you may be asked to authorize the hiring Amazon company to separately verify your application data and personal background through a third party service provider.
DESCRIPTION

Amazon Operations sits at the heart of the Amazon customer experience. We look after everything from the moment a customer clicks buy, to the moment their item is delivered – from desktop to doorstep. We do things on a massive scale – millions of packages pass through the hands of our Associates every year. For more insights, visit: -******

As a business, we do lots of things to attract, engage, support, motivate and enable the brilliant people who make it all happen. At the forefront of that effort, in Europe, sits our WFS (Workforce Staffing) Marketing team – a collective of talented individuals managing the media & marketing strategy, reporting, modelling & analytics, tools & systems. Our goal is attracting hundreds of thousands of associates yearly for various operational business lines (fulfilment centres, transportation, and logistics).
We are looking for an innovative Marketing Analytics Manager to support delivery of our expanding data requirements within WFS Marketing. They will help balance the structured and unstructured data, with a keen eye for ironing out data imperfections and a passion for storytelling, effectively communicating the meaning behind the data. Our new colleague will be a self-starter, comfortable with ambiguity, have an affinity for building from scratch, demonstrate strong attention to detail, and have the ability to work in a fast-paced, complex and ever-changing environment.

CORE RESPONSIBILITIES

· Develop marketing performance & spend dashboards with key metrics for review with senior leadership and business teams; synthesizing large quantities of data to help create new, step-change initiatives for the organization.
· Use statistical techniques and tools for strategic deep dives, generating actionable insights.
· Centralise marketing measurement reporting and synthesise insights to deliver campaign-level performance insights and recommendations for optimisation.
· Deliver action-oriented insights to further optimise the marketing strategy, through the development of Multi-Channel Attribution methodologies and Media Mix Modelling.
· Establish strong working partnerships with team members from Marketing, Finance, Data Science, Engineering and other stakeholders.

BASIC QUALIFICATIONS

· Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
· Proven professional experience in a marketing analytics or statistical analyst role
· Proven experience in marketing operations, ad tech, media planning, and media performance metrics
· Proven problem solving skills, project management skills, attention to detail, ability to influence others and exceptional organisational skills
· Ability to deal with ambiguity and competing objectives in a fast paced environment
· Be self-driven, and show ability to deliver on ambiguous projects with incomplete data
· Excellent communication (verbal and written) and interpersonal skills
· Ability to effectively communicate with both business and technical teams. Ability to work collaboratively with non-technical customers and team members and translate business questions into analytical requirements with ease

PREFERRED QUALIFICATIONS

· Advanced technical or business degree (MS or MBA)
· Outstanding ability to utilise data and insight to “story-tell” in a compelling manner to drive strategy
· Demonstrated ability to articulate a vision and deliver against a timeline and blueprint for analytics.
· Experience utilising marketing measurement methods, including A/B testing, multi-touch attribution, and media mix modelling.
· Strong candidates will have a curious mind, a passion for synthesising information from multiple sources, the ability to interpret data through the lens of Enterprise SaaS, and a habit of translating data into insights that drive action.
· Proven experience with digital analytics tool like GA360 or Adobe Analytics
· Direct experience with one or more major BI & data visualization tools including: Tableau, QuickSight, Power BI, Redshift, Athena, S3, EC2 etc.
·
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Amazon takes your personal data protection seriously and respects EU and local data protection laws. Unless you express otherwise, by submitting your CV you authorize the hiring Amazon company to store your personal data in the electronic database maintained by Amazon Corporate LLC. in the USA or one of its affiliates for the purpose of assessing your suitability for this and future job vacancies and to pursue your recruiting process.

If at any time you want your personal data to be deleted, you simply need to notify the hiring Amazon company. Amazon will not share your personal data with any third party without your prior consent. As part of your interview process with Amazon you may be asked to authorize the hiring Amazon company to separately verify your application data and personal background through a third party service provider.
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