At a Glance
- Tasks: Join the econometrics team to develop Marketing Mix Models and provide actionable insights.
- Company: Work for a top FTSE listed enterprise making a positive societal impact.
- Benefits: Enjoy a competitive salary, full benefits, and flexible hybrid working options.
- Why this job: Gain exposure across departments and thrive in a supportive, growth-oriented environment.
- Qualifications: Experience in Big Data analysis, econometrics, and proficiency in Python, R, or SQL preferred.
- Other info: Opportunity to work with a fantastic leadership team and grow your career.
The predicted salary is between 43200 - 72000 £ per year.
*Data Scientist – Econometrics – Able to develop Marketing Mix Models* My client are a Top FTSE listed enterprise company with a well recognised and driven brand making a hugely positive impact in our society and for their customers. *Role preferably located London or South but options to be located in other office locations UK wide. * These key roles sit within the econometrics team, that help the business measure effectiveness and efficiency of business strategies and investments. These learnings will be applied to take shape to the overall marketing strategy. The econometricians will be responsible for developing and delivering accurate and appropriate Market Mix models, and interpret the analysis to create concise, insightful recommendations. The role is varied, with exposure across the business and will involve working closely with commercial, finance, marketing and data science. Key Responsibilities include: · Work with the current econometrics team to build and update a suite of econometric/Marketing Mix Models and turn outputs into actionable insights that drive value. · Analyse large datasets to quantify the impact of marketing spend on key business outcomes, such as sales, customer acquisition. · Assist in ad hoc projects as advised by your line manager and other stakeholders · Interpret the analysis to create concise, insightful stakeholder communications (presentations, documentation etc), being able to create and develop a narrative that is consistent with the data gathered. · Ensure projects and deadlines are met in line with the business needs. · Extensive work with Big Data, econometrics, Statistics, and Marketing Mix Modelling Skills, Knowledge & Expertise · You will have some years’ experience in Big Data analysis, econometrics, statistics and Marketing Mix Modelling in a professional environment. · Good knowledge of media, marketing, pricing and promotions and an understanding of their commercial impact. · Preferably used Eviews or other econometrics / stats forecasting package Programming in Python, R, or SQL, are advantageous. · Highly competent with Microsoft Office especially Excel, PowerPoint and Word · An understanding of media planning, buying and optimisation techniques would be beneficial. · Excellent attention to detail and ability to multitask and coordinate multiple projects at once. · Be able to communicate professionally across functions in an enterprise environment. What’s on offer Great business, great brand, great team! Competitive salary offered Full compensation benefits package Flexible hybrid working locations in UK. Preferably London or South but open dependant on the candidates circumstances. This role has a fantastic boss, leadership and team with scope for growth which for the right dedicated technical talents should inevitably offer the opportunity to thrive in their career.
Data Scientist - Econometrician - Marketing Mix Modelling employer: Talensa Partners
Contact Detail:
Talensa Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Econometrician - Marketing Mix Modelling
✨Tip Number 1
Familiarize yourself with the latest trends in econometrics and marketing mix modeling. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the econometrics and data science community. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable insights or even referrals for the position.
✨Tip Number 3
Brush up on your programming skills, especially in Python, R, or SQL. Being able to showcase your technical abilities during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've turned data analysis into actionable insights in previous roles. Having specific examples ready will help you illustrate your problem-solving skills and your ability to communicate complex information effectively.
We think you need these skills to ace Data Scientist - Econometrician - Marketing Mix Modelling
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist - Econometrician position. Highlight your experience with Marketing Mix Models and how it aligns with the company's needs.
Tailor Your CV: Customize your CV to emphasize your experience in Big Data analysis, econometrics, and statistics. Include specific examples of projects where you've developed Marketing Mix Models and the impact they had on business outcomes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and marketing. Discuss your understanding of media, marketing, and pricing strategies, and how your skills can contribute to the company's success.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in programming languages like Python, R, or SQL, and your experience with econometrics software like Eviews. This will demonstrate your capability to handle the role's technical demands.
How to prepare for a job interview at Talensa Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Big Data analysis, econometrics, and Marketing Mix Modelling. Highlight specific projects where you utilized tools like Eviews, Python, R, or SQL to derive insights from data.
✨Communicate Insights Effectively
Practice how you present your findings. The ability to create concise and insightful stakeholder communications is crucial. Use examples from your past work to demonstrate how you've turned complex data into actionable recommendations.
✨Understand the Business Context
Familiarize yourself with the company's brand and its impact on society. Be ready to discuss how your econometric models can influence marketing strategies and drive business outcomes, such as sales and customer acquisition.
✨Demonstrate Multitasking Abilities
Prepare to discuss how you manage multiple projects simultaneously. Provide examples of how you've met deadlines in a fast-paced environment while maintaining attention to detail, which is essential for this role.