At a Glance
- Tasks: Analyse marketing data and optimise campaigns to drive performance.
- Company: Starcom, a leading global communications agency with a people-first approach.
- Benefits: Flexible working, wellness days, family-friendly policies, and local discounts.
- Other info: Hybrid work model with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and make a real impact in the marketing world.
- Qualifications: Experience in data science, programming (R, Python, SQL), and marketing analysis.
The predicted salary is between 50000 - 65000 £ per year.
With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at the centre of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, we are the flagship Publicis Media agency that uses our 'Power of One' business model, with teams that span multiple disciplines across clients such as Aldi, P&G, P&O Ferries, Primark, Samsung, Stellantis, and Visa.
We place a huge focus on our People and have driven flagship D&I and L&D programmes within Publicis Media; our goal is to help every individual reach their fullest potential and we encourage everyone to make "Brave Plays" in how they approach their work and their own career development. As a result, we have an exceptionally energised and committed talent base, all of us proud of our welcoming and supportive culture, as evidenced by our recognition as one of Campaign's Best Places to Work for three years in a row (2021, 2022 and 2023) and most excitingly, Media Week's Agency of the Year 2023!
Responsibilities
- Support in conducting analysis, such as causal analysis, to measure the impact of marketing initiatives on sign ups and overall performance.
- Support in designing and executing tests, such as geo lift tests, to evaluate campaign effectiveness in specific geographic regions.
- Support in utilising media mix modelling to optimise budget allocation across various marketing channels.
- Support in applying econometric techniques to analyse the relationship between marketing activities and key performance indicators (KPIs).
Critical Skills
- Knowledge of measurement and data science concepts, such as causal analysis, geo lift tests, MMM, and econometrics.
- Experience in programming languages such as R for statistical analysis and data visualisation, Python for data manipulation and machine learning, and SQL for querying and managing relational databases.
Additional information
Starcom has fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans we also offer:
- WORK YOUR WORLD - opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
- REFLECTION DAYS - Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
- BENEFITS - 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
- FAMILY FRIENDLY POLICIES - We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave.
- FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF - You are entitled to an additional day off for your birthday, from your first day of employment.
- GREAT LOCAL DISCOUNTS - This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.
Full details of our benefits will be shared when you join us! Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process. Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAGs (Employee Action Groups).
Manager, Marketing and Data Science in London employer: Publicis Groupe UK
Starcom is an exceptional employer that prioritises the well-being and growth of its employees, offering a vibrant work culture in the heart of London. With a strong commitment to diversity and inclusion, alongside innovative benefits like the 'Work Your World' programme and Reflection Days, we empower our team to thrive both personally and professionally. Recognised as one of Campaign's Best Places to Work for three consecutive years, Starcom fosters an environment where every individual can make 'Brave Plays' in their career development.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Marketing and Data Science in London
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We think you need these skills to ace Manager, Marketing and Data Science 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!
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✨Brush Up on Your Statistics
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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.
