Task: Please write an interview transcript between the interviewers(Federico Forti and Tapan Khopkar) and a senior marketing analyst from Alibaba based on the following information:

Congratulations on securing your interview with Omnicom Media Group for their Data Science Manager role (spec attached at the bottom).

The interview will last approximately 30-45 minutes and will be over Google Meets.
 
You will be interviewing with Federico Forti and Tapan Khopkar who’s Linked In profile’s are attached.
 
I suggest that you prepare examples using the format below, around the following areas:
 
MMM projects you have worked on – how successful were these?
Data science projects outside of MMM you have worked and analytics projects
Stakeholder Management – especially working with non- technical teams
 
Questions to think about: 
 
How do OMD make their money?
How would you add value?
What do you expect from an employer and want for your next role?
 
Also, what do you want to know about them? Asking a few good questions shows them you are interested.
 
 In fact, with an interview like this, I would be looking to ask LOTS of questions about their plans, reason for this role, what they need from you etc.
Recommendation - Interview answering technique:
Whilst I know you know how to interview, it never hurts to refresh your memory on good interview technique. As experience is gained, there is often a desire to tell an interviewer EVERYTHING. Actually, that’s often something that puts an interviewer off a candidate as it might show them how the candidate would act in a stakeholder meeting (talking rather than listening).
http://www.interview-skills.co.uk/competency-based-interviews-STAR.aspx


 - really beneficial way in answering a question. Has worked well in the past for candidates to deliver the right content, and have the ability to stick to the question asked.
ISC Professional - Interview guide - Competency-based interviews
A guide to succeeding at your interviews. Includes advice on competency-based interviews & questions, assessment centres, body language, etc.
1)      Situation: situation confronted with
2)      Task: task at hand
3)      Action: what you did and how you did it
4)      Result: the outcome
 
Marketing Science Manager/Senior Manager, OMD EMEA
At OMD, our purpose is to help clients grow their businesses. We do this by leveraging our expertise, creativity and clout to develop and deliver robust communications investment plans that stimulate demand for their products and services and desire for their brands. Understanding the dynamics and levers within this challenge has never been more possible through the abundance of data available and the technology to allow its exploitation.
Our challenge now is how to move the discussion on from concepts and soundbites to real and demonstrable problem solving. To grow the focus from programmatic ad buying, to addressable strategy. From specialist expertise inputting into that strategy, to an operationally integrated team developing that strategy together. Not targeting strategy, but brand strategy. To help us grasp that opportunity we need not just the right skills and experience – but as importantly we need the right ambition and attitude. To create a future where data elevates, inspires, and empowers our curiosity and creativity to be as intelligent and effective for our clients as possible.
This position is working within the marketing sciences team at OMD. We are looking for someone to deliver analytics projects for our clients:
Role:
·       You will be involved in the full marketing analytics project life cycle from project design, data collection, modelling/analysis, presenting back findings and recommendations to technical/non-technical audiences
·       Hands on delivery of cross market media budget setting/allocation projects, new business scoping and proposals, agency pitch support, marketing mix modelling, digital attribution projects
·       Working closely with clients and agency planning teams to make the business case for future marketing investment
·       Be part of the OMD Marketing Sciences community, sharing and collaborating with other analysts
Requirements:
·       Experience in a range of marketing analytics projects and techniques from statistical analysis such as Marketing Mix Modelling (MMM), linear regression and digital attribution essential.
·       Excellent communication and presentation skills - able to tell stories with data, and effectively articulate its value to senior stakeholders
·       Experience in using data manipulation and modelling tools such as Excel, R, Python 
·       Understand the importance of data quality and accuracy, understanding new data, cleansing, and processing
·       A proactive and curious learner; keen to develop and learn new skills independently and share expertise with the wider team
·       Interest in developing innovative new approaches to marketing science and analytics 
·       Happy to juggle multiple projects simultaneously