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Lead Audience Profiling (Consumer Data Analyst)

Greater London
Full time
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Philip Morris International UK
FMCG & consumer goods
501-1,000 employees
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Be a part of a revolutionary change

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on one clear purpose – to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom dream up and deliver, better, brighter solutions and the space to move your career forward in endlessly different directions.

The Consumer Group is undergoing a critical overhaul as we look to transform into an agile, consumer-centric business that harnesses technological innovation to deliver better, science-backed alternatives to adult smokers around the world. It is only by focusing on our strategic priorities and the right organization, fully enabled to deliver what matters the most for our consumers along their journey toward better alternatives, that we will be able to deliver a smoke-free future!

Here, you can make a difference. You can shape the consumer journey, from discovery and acquisition through to conversion and loyalty. And you can watch your efforts lead to meaningful change in the lives of smokers on their way to better alternatives. You’ll develop your skills; collaborating across functions, markets and regions. If you want to make a life-changing impact on consumers, there’s no better place!

For our Audience Strategy and Profiling team in London, UK we are looking for a Lead Audience Profiling.

As we accelerate our journey, the Audience team’s mission is to deeply understand our prospects and consumers' needs and fulfill them better than anyone else. This team will be acting as the cohesive force that underpins PMI’s consumer-centric, data-driven strategy. You'll be working together with a mix of talents in data, analytics, science, technology, marketing and media. You’ll constantly look for effectiveness, efficiencies and big wins: What can we do better? Where can we scale?

You’ll gather audience insights from quantitative and qualitative data and work with data scientists and analysts to implement targeting solutions globally across multiple verticals.

  • Deliver comprehensive descriptive analyses answering business questions in order to produce actionable insights and support ad-hoc requests with exploratory analyses;
  • Summarize and simplify analytical results through reports and consequently interpret and translate insights into clear business recommendations;
  • Describe consumer behaviors, interactions and demographics into profiles with consumer level engagement data
  • Analyze consumer level data and work with Insights teams to uncover insights from data and translate them into meaningful recommendations, constantly finding a new angle to improve acquisition and retention practices
  • Develop targeting and retargeting strategies with the team and deliver audience insights based on qualitative and quantitative data;
  • Propose & measure results of tests for data-driven consumer engagement activities in online and offline channels, with a continuous test-measure-feedback mindset
  • Gather key audience learnings from markets;
  • Collaborate closely with other data and business analysts to generate holistic analytical deep-dive analyses and provide insights and hands-on recommendations for online marketing campaigns;
  • Manipulate large volume raw data to produce structured data sets for analysis;

Skills & experience:
  • Bachelor’s degree, or Master’s degree in mathematics or marketing or business management or related fields;
  • 2+ years’ work experience in either Marketing Analytics or Consumer Value Management;
  • Experience with digital marketing (campaigns), sales analytics and reports;
  • Significant experience in analyzing online and offline data;
  • Very strong analytical and quantitative skills with a demonstrated ability to interpret and leverage data to drive decision making;
  • SQL (is a must) experience and working experience with relational databases;
  • Understanding of statistical modeling techniques such as regression, cluster analysis, experimental design;
  • Python, Spark or Hadoop a plus;
  • Experience with machine learning and natural language processing a plus;
  • Experience with PowerBI a plus;
  • Self-starter with ability to quickly ramp up on new tools and technologies;
  • Ability to present technical projects to senior stakeholders giving business perspective.
  • Ability to manage in an environment of uncertainty, ambiguity and complexity with diverse stakeholders.

What we offer:
Our success depends on the people who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:
Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.

PMI is an Equal Opportunity Employer