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Marketing Effectiveness Analytics Manager
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Marketing Effectiven....
Coders Connect
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Marketing Effectiveness Analytics Manager

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موقع الوظيفة

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Paris - فرنسا

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الوصف الوظيفي

رقم الوظيفة : 1966338
Coders Connect are partnering with Sanofi, a global biopharmaceutical embarking at the very beginning of theirdigital transformation. They will be assembling brand new digital focused cross-functional agile teams in the heart of Paris.

This is an excellent opportunity to help a global enterprise with an epic digital transformation programme.

Who We Are In a Nutshell

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.


Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across the world, and ability to leverage Sanofi s capabilities make us the best place to push the boundaries of medicine through technology.

Why are you joining Sanofi Digital?
Executive sponsorship and governance, with newly appointed CDO & leadership team
Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships)
Unique diversity of medical & technical challenges, with mobility opportunities
Awarded Top Employers France 2021
and more specifically, why Accelerator powered by Sanofi ?
A new entity launched March 1st and based in Paris, France to become the leading Digital Health platform
Startup-like streamlined processes to ensure delivery speed
Focused on end-to-end building the most transformative and profitable products

Context of the role
Dupixent is Sanofi & Regeneron co-developed drug, treating severe allergies such as Asthma, Nasal Polyps and Atopic Dermatitis.
Dupixent reached $5Bn sales in 2021, is experiencing significant growth and being authorized for new indications. Dupixent Marketing budget was 1.3Bn$ in 2021, spread across almost 30 touchpoints (TV, digital, sales forces...)
In this context, Sanofi created a Data Science and Development team to build its own Marketing Mix Modeling (MMM) solution, to support its leadership, brand and media teams in their Marketing decisions of allocation.

Description of the solution you will work with
The internally developed solution aims at optimizing spend allocation between Marketing channels, to maximize sales. It is made of four main building blocks:
  • Automated data collection and ingestion : Ensure rapidity and quality of data collected to be used as entry in the model
  • Response model : Build response curves linking spend & sales, to define optimum level of spend
  • Optimizer : Optimize allocation of budget given business constraints, to reach business objectives
  • Webapp : Self-service webapp for Business teams to create, manage, analyze & compare scenarios
Your role as Marketing Effectiveness and Analytics Manager

Drive Marketing effectiveness by advising Brand and Media teams on Marketing Commercial budget allocation
  • Help Brand and Media teams translate optimizer outputs into concrete action plans (e.g., identifying root causes of Marketing ineffectiveness and associated levers of improvement)
  • Provide external benchmarks to propose additional improvement opportunities on budget allocation and marketing effectiveness
  • Ensure full coherence and challenge allocation scenarios proposed by teams
Help Sanofi Digital team develop and roll-out a self-service webapp for Business teams to review past MMM results, and run allocation simulations
  • Work hand in hand with Data Science and Analytics teams, and foster best practices by :
  • providing expertise and support - giving feedbacks on solution from discussions with business teams and work with solution Product Owner to help him best prioritize features, in order to maximize value
Lead upskilling effort & support implementation of new ways of working
  • Conduct workshops and training sessions with brand, media & Salesforces teams to educate on the tool, increase business engagement and foster best practices - help teams make the tool their own
  • Ensure appropriate use of the tool during Business milestones (e.g., Budget, Brand plan...) -
  • Write & share playbooks to ease roll-out to new markets

Requirements

Key Technical Requirements & Qualifications
  • 7+ years of experience in a significant Data / Analytics role with advanced knowledge of statistical model for sales optimization (ideally MMM)
  • Strong analytical acumen and quantitative skills with a demonstrated ability to translate information and data into actionable insights story and strategic recommendations
  • Comfort and good intuition around advanced analytics, with a good basic understanding of modeling techniques and advanced applied skills (e.g. Regression, Customer life cycle value, A/B testing)
  • Deep understanding of sales and media data, including agencies and contract management (to support recontracting for automatization when needed)English proficiency is mandatory
Key Soft Requirements & Qualifications
  • Leadership and strong influencing skills, ability to demonstrate confidence in communications with stakeholders at all levels
  • Ability to work independently and as part of multiple teams inside a global engineering team
  • You like to move fast, but with cautionHigh energy, confident, and ambitious individual
  • Must be a passionate communicator, willing to challenge and enhance ideas while preserving relationships
  • Interested in lots of aspects of technology, not just one tech!
  • Must be as passionate as we are about chasing the miracle of science to improve peoples lives
  • Excellent written and verbal communication skills
  • Service-oriented, flexible, positive team player
  • Problem solving & critical thinking




Marketing, Analytics, data, social media, sales, mixed marketing model

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