Job Roles

RedRoute Account Teams

Account Teams typically comprise an Account Director / Marketing Effectiveness Consultant; a Principal Consultant; and one or more Data Analysts, Market Research Executives, IT Professionals, and Clerical Support Staff.

Account Directors / Marketing Effectiveness Consultants work closely with clients to help them define the nature & scope of their marketing effectiveness challenges; the potential gains in revenue and profit they will make by solving them; and how to achieve those gains.

Principal Consultants are technical experts in their fields, specialists in Data Science, Statistics, Econometrics, Market Research, Finance and IT, who define and manage the delivery of the technical solutions required to address the identified marketing effectiveness challenges.

The Data Analysts, Research Execs, IT Specialists and Clerical Support staff then work together with the Directors and Principal Consultants to create and implement those solutions.

Examples of these various roles are shown below and if you are interested in discussing any opportunities to join our team then please send your details and the type of role you may be interested in to this address jobapplications@redrouteinternational.com

The Role

The role of the Marketing Effectiveness Consultant is to be the client’s trusted adviser on how to maximise the revenue benefit from their marketing investment activity.

Key Accountabilities and Responsibilities

To develop specific proposals, design specific projects, manage the development of insights, lead the communication of insights and build relationships with clients to deliver our proven minimum 15% improvement in their marketing effectiveness programmes. Full training in RRI’s services and in the provision of client Consultancy is provided.

Working For Yourself but not By Yourself

Working in conjunction with RRI directors and leadership team (all of whom have operated at the highest level within global blue-chip organisations), you will develop and maintain a personal portfolio of 3 – 5 clients with suitable Account Plans for revenue growth, typically targeting the achievement of annual revenue of £100k – £200k+ per client.

Our Ideal Candidate

We are looking for candidates with broad business marketing strategy and/or consumer insight experience, ideally across multiple sectors and industries, with evidence of building business through identifying and implementing / supporting winning marketing strategies. The person for the role also needs sufficient experience and gravitas to constructively challenge clients and become a valued strategic sparring partner to them (strategic and commercial pressures often taking immediate priority over analytical and technical niceties).

Remuneration

All our Marketing Effectiveness Consultants are self-employed, enabling them to build a personal portfolio of clients and a level of revenue income that suits their lifestyle and ambitions. Rewards are earned via Commission Income and payment for Personal Consultancy time spent in delivering client services.

The Role

Principal Data Scientists lead and inspire one or more multi-disciplined teams in using statistics, economics, market research, data science and IT to find new insights that enable our clients to measure and maximise the returns on their marketing investments; optimise their pricing; produce reliable strategic revenue forecasts; and create competitive advantage.

Key Accountabilities and Responsibilities

To use statistical, economic and data science principles to address marketing effectiveness questions through defining the data and analyses to be undertaken; designing in-market tests to validate & extend the results; and deigning applications to leverage the results for business advantage. To support the Marketing Effectiveness Consultants (MECs) in presenting the findings and applications so they can be understood and acted upon by the client.

Working For Yourself but not By Yourself

All our PC’s are self-employed, enabling them to generate a level of income to suit their own personal lifestyles and ambitions. Working closely with the MEC’s, all of whom have worked at the highest levels within global blue-chip organisations, PC’s seek to ensure RRI becomes the client’s trusted adviser on maximising marketing ROI, thereby generating client satisfaction & repeat business. PC’s report to the Board Director – Analytics & Project Delivery.

Our Ideal Candidate

We look for people with at least 10 years’ experience of both doing and managing statistical and/or AI support for marketing; pricing; category management; location planning; retailing; sales forecasting; strategic planning; social media; and/or similar applications. You will have excellent skills in Excel, SAS and/or SPSS; and the development & use of databases for BI, knowledge of R, Python, or data analysis systems (e.g. IBM Watson AI, Business Objects, QlikView, Oracle, Teradata, etc) would be a strong advantage. Evidence of having supported business building by providing pre-sales consultancy would also be an advantage.

Remuneration

As all our PC’s are self-employed, remuneration is on an agreed individual per diem basis at a competitive rate, commensurate with their skills and experience.

The Role

Our Event Measurement Consultants lead and support global best practice in event effectiveness measurement and work closely with the Institute of Promotional Marketing (IPM) to help them maximise the awareness & usage of their Event Effectiveness Benchmarking Database.

Key Accountabilities and Responsibilities

To provide personal and project team-based consultancy to marketing agencies and brand owners on the best practice approaches to measuring the Reach, Impact and ROI of each of their marketing events; prepare consultancy project proposals; supervise project delivery; lead the communication of the measurement results; and build relationships with clients to maximise the revenue growth of RRI’s Experiential Effectiveness Measurement business unit. They work with the IPM to support their training and PR activities and maximise the awareness & usage of their Experiential Marketing Effectiveness Database. Full training in best practice event effectiveness measurement is provided.

Our Ideal Candidate

We look for candidates with marketing and/or consumer insight experience, ideally across multiple sectors and industries, with demonstrated knowledge of event marketing practice, and evidence of building business. The role requires the experience and gravitas to challenge clients and become their first choice for advice on measuring event effectiveness, enabling them to maximise insight given the practical & budget constraints they face working in a live performance environment.

Working For Yourself but not By Yourself

All our Marketing Effectiveness Consultants are self-employed, enabling them to build a personal portfolio of clients and a level of revenue income that suits their lifestyle and ambitions. Working in conjunction with the RRI Directors and leadership team (all of whom have operated at the highest level within global blue-chip organisations), you will develop and maintain a wide roster of agency & client-side users of the service, with suitable Account Plans for revenue growth, and typically targeting the achievement of annual revenue of £150k within the first year and £250k+ pa on-going.

Remuneration

Rewards are earned via Commission Income and payment for Personal Consultancy time spent delivering client projects.

The Role

Marketing Analysts support the client facing project and account teams by undertaking analysing and modelling client data for the purpose of measuring marketing effectiveness and/or maximising marketing ROI.

Within this they may undertake any or all of the following types of data analysis and tasks: analysis of large data set customer level data; econometric and / or marketing mix modelling; complex correlation analysis; finding and manipulation of multiple data sources inside and outside of a client organisation; extracting, transcribing, processing, tabulating, manipulating, calculating, graphing, correlating, and preparing data for use in statistical analyses and / or presentations. Presenting work internally and externally as required.

The range of data types used would include commercial, financial, operational, media, economic and marketing data alongside customer-level transactional data.

Accountabilities and Responsibilities

To achieve the above requires undertaking a number of general and specific tasks related to the design, commissioning and delivery of RRI projects and to the provision of support for the future development of each account. These tasks include, but are not limited to, the accountabilities and responsibilities as shown below:

  1. Working with the client and other members of the RRI account team to obtain and process potentially multiple data sources to allow the analysis to commence.
  2. Development of econometric models, marketing mix models and complex correlation analyses. Able to draw critical conclusions from these models and analyses and to make recommendations to RRI and client facing team members
  3. Manipulating data whether the data is of a numerical, textual, visual or other kind, and also whether the data is in structured or unstructured formats; often using very large data sets including customer level data
  4. Preparing tabulations; financial and accounting-type calculations; graphical comparisons; pivot table analyses; complex correlations; and keeping all such prepared data in neat and clearly documented formats so that it is easy for others to follow and extend the work as may be required
  5. Using Microsoft Excel, Word, and PowerPoint to undertake these tasks with minimal effort, and potentially using other software such as Microsoft Access (free training in the use of other systems will be provided if/where that is required) and being able to present data in other formats (e.g. using infographic approaches) would be helpful
  6. Using existing spreadsheet “What if..?”” models (that may comprise many connected spreadsheet pages) to run scenarios as directed by members of the Project / Account team and then summarise the results in a logical and comparative manner
  7. Constructing detailed spreadsheet “What if..?”” models to designs specified by the Project / Account teams
  8. Producing client facing presentations to communicate the key findings from analysis in a clear and concise way. Participating in the presentation of results to senior client facing teams

Our Ideal Candidate

We have Analysts at varying levels of seniority and experience but all have demonstrated technical experience in successfully applying data sciences / complex analysis for major corporations in either client-side, agency, and/or consultancy roles in one or more of these areas: market mix modelling; CRM analytics, campaign analysis, decision tree analytics and propensity modelling; price & promotions effectiveness; customer segmentation, including psychographic modelling, key drivers analysis and structural equation modelling; artificial intelligence; media coverage modelling and effectiveness; search engine marketing analytics; social media analytics & modelling; location planning & retail operations analytics & modelling; strategic & tactical sales forecasting; category management analytics; and automated marketing & IOT analytics. They have excellent skills and technical expertise in using Excel, SAS and SPSS and the development of databases for the provision of business insights and decision support. Knowledge of R, Python, and other statistical and data analysis systems (such as IBM Watson AI, Business Objects, QlikView, Oracle, Teradata, etc) are a strong advantage for these roles; and evidence of supporting business building through e.g. providing pre-sales consultancy to identify and quantify client business opportunities is also desirable for the most senior analyst roles.

Remuneration

All of our Analysts are self-employed, enabling them to build a personal portfolio of clients and a level of income that suits their own lifestyle and ambitions. Remuneration is via payment for the time spent in delivering client services. Analysts report to the RRI Project Manager, Principal Consultant, Analytics Manager or Account Manager responsible for the relevant area of work they are undertaking.