Director of Data Analytics

Description

Position at GroupM Nexus Finecast

Background

Analytics aren’t just numbers—they’re a source of knowledge about your customer’s needs and behavior, and they’re important for guiding how you market to the people who will use your service or buy your product.

Much success of a marketing campaign can be attributed to the use of proper and robust data analytics from (sourced and holistic)

The Team

The role of the Marketing Science R&D team is to bring data to life in scientific ways to provide insight, recommendations and innovations relating to client marketing strategies from planning, audience, optimisation and measurement.

The Role Objectives

The Data Analytics Director is an exiting new role within the Nexus Marketing Science Team supporting the creation and delivery of successful marketing campaigns that drive outcomes for our clients.

This role will be key in leading and ensuring best practice use of data modelling and analytical techniques for driving insight from a variety of large and disparate data sets.

This role will provide the data rigour that supports all Marketing Science functions across planning & audience strategy and campaign effectiveness measurement capabilities.

This role will oversee a team of data analysts and data scientists, driving best practices in data modelling and analytics to extract actionable insights from complex, large-scale datasets. The successful candidate will play a crucial role in enhancing our planning, audience strategy, and campaign effectiveness measurement capabilities.

The candidate

The ideal candidate is someone that is passionate about the applications of data science within the field of marketing to make advertising better for brands and consumers; driving effective outcomes in the most sustainable way possible.

Understand what data is valuable and what is noise, being able to ask and craft the right questions and structure the data in a way that enables insights to be drawn efficiently.

Key Responsibilities

-Lead and mentor a team of data analysts and data scientists

-Develop and implement advanced data modeling and analytical techniques to enable audience insights, segmentation modelling, campaign performance insights, yield management, and more

-Ensure data integrity and rigorous methodologies across all Marketing Science functions

-Drive insights from diverse, large-scale datasets to inform marketing strategies

-Collaborate with cross-functional teams to align data initiatives with business objectives

-Oversee the development of predictive models and segmentation strategies

-Establish best practices for data analysis, visualization, and reporting

-Evaluate and implement new technologies and methodologies to enhance team capabilities

-Measurement methodologies for campaign effectiveness

-Support in establishing frameworks for sophisticated cross channel planning, audience and measurement approaches

-Creating holistic data – combining from a variety of sources

-Developing optimisation algorithms to enhance campaign performance through applications of AI

Requirements:

Advanced degree in Data Science, Statistics, Computer Science, or related field

Expertise in statistical analysis, machine learning, and data mining techniques

Proficiency in programming languages such as Python, R, or SQL

Strong knowledge of marketing analytics and attribution modeling

Excellent communication and presentation skills

Proven track record of translating complex data insights into actionable strategies

Experience with big data technologies and cloud computing platforms

Here's an improved version of the job description:

**Data Analytics Director - Marketing Science R&D**

**Background**

Analytics is the cornerstone of effective marketing, providing crucial insights into customer needs and behaviors. Our success stems from leveraging robust, holistic data analytics to guide marketing strategies and drive measurable outcomes.

**The Team**

The Marketing Science R&D team transforms raw data into actionable insights, powering innovative marketing strategies from planning and audience targeting to optimization and measurement.

**Role Overview**

As Data Analytics Director, you'll lead our Nexus Marketing Science Team in creating data-driven marketing campaigns that deliver exceptional results for our clients. This pivotal role demands expertise in advanced data modeling and analytics to extract valuable insights from complex, large-scale datasets.

**Key Responsibilities**

- Lead and mentor a team of data analysts and data scientists

- Develop and implement cutting-edge data modeling and analytical techniques

- Ensure data integrity and methodological rigor across all Marketing Science functions

- Drive actionable insights from diverse, large-scale datasets to inform marketing strategies

- Collaborate cross-functionally to align data initiatives with business objectives

- Oversee development of predictive models and audience segmentation strategies

- Establish best practices for data analysis, visualization, and reporting

- Evaluate and implement new technologies to enhance team capabilities

- Design and implement campaign effectiveness measurement methodologies

- Develop frameworks for sophisticated cross-channel planning, audience targeting, and measurement

- Create holistic datasets by integrating multiple sources

- Develop AI-powered optimization algorithms to enhance campaign performance

**The Ideal Candidate**

We're seeking a passionate data science professional who understands the transformative power of analytics in marketing. You should be able to:

- Discern valuable data from noise

- Formulate incisive questions that drive meaningful insights

- Structure data efficiently to facilitate rapid insight generation

- Apply data science to make advertising more effective and sustainable for both brands and consumers

**Qualifications**

- Advanced degree in Data Science, Statistics, Computer Science, or related field

- Experience in data analytics, preferably in marketing or advertising

- Proven track record of leading data science teams and driving innovation

- Expert knowledge of advanced statistical modeling, machine learning, and data mining techniques

- Strong programming skills (e.g., Python, R, SQL)

- Excellent communication skills, able to translate complex analyses into actionable business insights

- Experience with big data technologies and cloud computing platforms

This role offers an exciting opportunity to shape the future of data-driven marketing at the forefront of innovation. Join us in revolutionizing how brands connect with their audiences through the power of advanced analytics.