Data Scientist - Marketing Analytics, Econometrician

Michael Page Technology

Posted on Jan 9, 2025 by Michael Page Technology
Windsor, Berkshire, United Kingdom
Oil & Gas
Immediate Start
£60k - £75k Annual
Full-Time

We're hiring a Data Scientist with expertise in Marketing Mix Modelling (MMM) for our energy client. In this hybrid role, you'll drive data-driven strategies, build and update MMM models, analyse marketing spend, and deliver actionable insights. Based in Windsor with travel once a fortnight. Salary up to £75K, plus bonus and up to 10% pension.

Client Details

he client is a leading energy company that is committed to revolutionising the global energy landscape. As part of a family of brands, they focus on creating sustainable energy systems that do not rely on fossil fuels. Their mission is to power a greener and fairer future by driving innovation and positive change within communities. With a diverse team of 21,000 employees, they are working towards achieving Net Zero by 2050 while offering a supportive and inclusive work environment.

Description

The key responsibilities for this role include:

  1. Developing and Updating MMM Models: Work closely with the team to build and refine Marketing Mix Models (MMM) for the client's products, ensuring they align with business goals.

  2. Data Analysis: Analyse large datasets to measure the impact of marketing spend on key business outcomes such as sales and customer acquisition.

  3. Stakeholder Communication: Translate complex data findings into clear, actionable insights, creating presentations and reports to communicate findings effectively to various stakeholders.

  4. Collaboration: Work with cross-functional teams, including commercial, finance, marketing, and data science, to drive business decisions based on data.

  5. Ad-Hoc Projects: Assist in additional data-related projects as needed by the business, contributing to ongoing data initiatives and strategies.

  6. Deadline Management: Ensure projects are completed on time and meet business requirements.

Profile

The successful candidate will have:

  1. Experience in Econometrics and MMM: At least 3 years of experience in Marketing Mix Modelling (MMM) and econometrics, with a strong ability to analyse the effectiveness of marketing spend.

  2. Strong Analytical Skills: Expertise in handling large datasets, applying statistical methods, and using programming languages such as R, Python, or SQL to derive insights from data.

  3. Effective Communication: The ability to present complex data analysis in a clear, concise manner to stakeholders, tailoring communication to different audiences.

  4. Attention to Detail: High attention to detail with a keen ability to spot patterns and anomalies in data to drive informed decision-making.

  5. Team Player: Comfortable working in an open, collaborative environment with a mix of introverts and extroverts, and able to contribute to both independent and team-based projects.

  6. Adaptability: A proactive, inquisitive mindset, eager to tackle new challenges, and a passion for learning and growing within a dynamic environment.

  7. Marketing Knowledge: Understanding of media planning, marketing, and promotions, with insight into their commercial impact.

Job Offer

For the successful candidate, the following is on offer:

  1. Competitive Salary: Up to £75K, depending on experience.

  2. Bonus Potential: Performance-based bonus for added financial reward.

  3. Generous Pension Scheme: 10% pension contribution after two years (5% employer, 5% employee).

  4. Hybrid Working: A flexible working model with the option to work remotely, with occasional travel to the Windsor office once a fortnight.

  5. Career Development: Opportunity to be part of an innovative, data-driven team within a leading energy company, contributing to strategic decision-making.

  6. Supportive Team Environment: Collaborative, open, and friendly team culture that encourages professional growth and a balance of work and life.

  7. Purpose-Driven Role: Work in a company committed to sustainability and achieving Net Zero by 2050, contributing to a greener and fairer future.


Reference: 2877850892

https://jobs.careeraddict.com/post/98719010

This Job Vacancy has Expired!

Michael Page Technology

Data Scientist - Marketing Analytics, Econometrician

Michael Page Technology

Posted on Jan 9, 2025 by Michael Page Technology

Windsor, Berkshire, United Kingdom
Oil & Gas
Immediate Start
£60k - £75k Annual
Full-Time

We're hiring a Data Scientist with expertise in Marketing Mix Modelling (MMM) for our energy client. In this hybrid role, you'll drive data-driven strategies, build and update MMM models, analyse marketing spend, and deliver actionable insights. Based in Windsor with travel once a fortnight. Salary up to £75K, plus bonus and up to 10% pension.

Client Details

he client is a leading energy company that is committed to revolutionising the global energy landscape. As part of a family of brands, they focus on creating sustainable energy systems that do not rely on fossil fuels. Their mission is to power a greener and fairer future by driving innovation and positive change within communities. With a diverse team of 21,000 employees, they are working towards achieving Net Zero by 2050 while offering a supportive and inclusive work environment.

Description

The key responsibilities for this role include:

  1. Developing and Updating MMM Models: Work closely with the team to build and refine Marketing Mix Models (MMM) for the client's products, ensuring they align with business goals.

  2. Data Analysis: Analyse large datasets to measure the impact of marketing spend on key business outcomes such as sales and customer acquisition.

  3. Stakeholder Communication: Translate complex data findings into clear, actionable insights, creating presentations and reports to communicate findings effectively to various stakeholders.

  4. Collaboration: Work with cross-functional teams, including commercial, finance, marketing, and data science, to drive business decisions based on data.

  5. Ad-Hoc Projects: Assist in additional data-related projects as needed by the business, contributing to ongoing data initiatives and strategies.

  6. Deadline Management: Ensure projects are completed on time and meet business requirements.

Profile

The successful candidate will have:

  1. Experience in Econometrics and MMM: At least 3 years of experience in Marketing Mix Modelling (MMM) and econometrics, with a strong ability to analyse the effectiveness of marketing spend.

  2. Strong Analytical Skills: Expertise in handling large datasets, applying statistical methods, and using programming languages such as R, Python, or SQL to derive insights from data.

  3. Effective Communication: The ability to present complex data analysis in a clear, concise manner to stakeholders, tailoring communication to different audiences.

  4. Attention to Detail: High attention to detail with a keen ability to spot patterns and anomalies in data to drive informed decision-making.

  5. Team Player: Comfortable working in an open, collaborative environment with a mix of introverts and extroverts, and able to contribute to both independent and team-based projects.

  6. Adaptability: A proactive, inquisitive mindset, eager to tackle new challenges, and a passion for learning and growing within a dynamic environment.

  7. Marketing Knowledge: Understanding of media planning, marketing, and promotions, with insight into their commercial impact.

Job Offer

For the successful candidate, the following is on offer:

  1. Competitive Salary: Up to £75K, depending on experience.

  2. Bonus Potential: Performance-based bonus for added financial reward.

  3. Generous Pension Scheme: 10% pension contribution after two years (5% employer, 5% employee).

  4. Hybrid Working: A flexible working model with the option to work remotely, with occasional travel to the Windsor office once a fortnight.

  5. Career Development: Opportunity to be part of an innovative, data-driven team within a leading energy company, contributing to strategic decision-making.

  6. Supportive Team Environment: Collaborative, open, and friendly team culture that encourages professional growth and a balance of work and life.

  7. Purpose-Driven Role: Work in a company committed to sustainability and achieving Net Zero by 2050, contributing to a greener and fairer future.

Reference: 2877850892

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