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 competitive salary, full benefits, and flexible hybrid working options across the UK.
- Why this job: Gain exposure across departments and thrive in a supportive, growth-oriented environment.
- Qualifications: Experience in Big Data analysis, econometrics, and marketing mix modeling is essential.
- Other info: Opportunity to work with a fantastic leadership team and advance 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
Prepare to discuss specific projects where you've successfully analyzed large datasets and derived actionable insights. Highlighting your hands-on experience will show that you can deliver results in a similar role.
✨Tip Number 4
Brush up on your programming skills, especially in Python, R, or SQL. Being able to demonstrate your technical proficiency during the interview can set you apart from other candidates.
We think you need these skills to ace Data Scientist - Econometrician - Marketing Mix Modelling
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and skills required for the Data Scientist - Econometrician position. Tailor your application to highlight your relevant experience in econometrics, marketing mix modeling, and data analysis.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Big Data analysis, econometrics, and statistics. Provide specific examples of projects where you developed Marketing Mix Models or analyzed marketing spend impacts on business outcomes.
Showcase Technical Skills: Mention your proficiency in programming languages such as Python, R, or SQL, as well as your experience with econometrics software like Eviews. Highlight your competency in Microsoft Office tools, especially Excel and PowerPoint, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your understanding of the company's goals and how your skills can contribute to their marketing strategy. Be concise and ensure your narrative aligns with the data-driven approach they value.
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've successfully applied these skills, especially using tools like Eviews, Python, R, or SQL.
✨Communicate Insights Effectively
Since the role involves interpreting data and creating concise stakeholder communications, practice explaining complex analyses in simple terms. Prepare examples of how you've turned data into actionable insights in previous roles.
✨Understand the Business Context
Familiarize yourself with the company's brand and its impact on society. Be ready to discuss how your work can contribute to their marketing strategy and overall business goals, particularly in relation to media, pricing, and promotions.
✨Demonstrate Multitasking Abilities
The role requires managing multiple projects simultaneously. Prepare to share examples of how you've successfully juggled various tasks in a fast-paced environment, ensuring deadlines were met without compromising quality.