Analytics Lead

at  Gain Theory

Analytics Lead required to join our team and drive our data analytics function. In this role, you will be responsible for leading data-driven initiatives, delivering insights that guide business decisions, and managing an analytics programme dedicated to transforming data into actionable insights. As an Analytics Lead you will have a deep understanding of analytics techniques, strong leadership skills, and the ability to communicate complex data findings to both technical and non-technical stakeholders.

WHAT WE DO

Gain Theory is a global marketing effectiveness and foresight consultancy. Our vision is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions. High-touch consultancy powered by unique partnerships and proprietary technology are used to power our award-winning solutions.
As a WPP consultancy, Gain Theory also has access to a range of data, expertise, and tools that create a truly differentiated offering.
Gain Theory is a WPP agency (NYSE: WPP).

WHO WE ARE

We are a people-centric organisation whose culture is underpinned by 4 important values: Be Curious, Be Positive, Make it Better and Act with Consideration. We channel these values through our behaviours, in the way we work, and in the interactions we have with each other and our clients.
Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.
Gain Theory is a WPP-owned consultancy. For more information, please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter.

WHAT YOU’LL BE DOING:

Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming

• Be able to explain and oversee the use of data extraction tools (i.e., Advantage, AdDynamix, Sysomos, Google trends, Google analytics, Double Click, etc.)
• Ensure that ROVA inputs have been checked and is free from errors before internal meetings where it is required.
• Take responsibility for and manage data collection including preparation and sending of data requests to clients and agencies.
• Chase outstanding data and manage the process monitoring incoming data accuracy and handing by analysts in your team.
• Contact client with data questions that may arise.
• Create data validation deck and oversee a process to ensure all data used is correct and signed off by a client and agencies.

Building Models: Model building, validation and signing off, media optimization

• Work with junior team members to validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.
• Make sure that any applicable diagnostic tests are passed and that the outputs make sense before passing models onto the senior team.
• Be familiar with all standard data transformations, and be explain to explain the merits of each one. These include STA, SUB, DIVMDVSUB, YTY. Ideally also include RNT and SUBNORM (subtract mean and divide by standard deviation)
• Be familiar with all regression based options within Rova. For an MMM this includes GLS, CLS, Bayesian MMM and Hierarchical Bayesian.
• Create response curves and optimization spreadsheet or alternatively use available tools for budget allocation. This requires knowledge of internal tools such as Orca, Chasm and GTi. Oversee scenarios required to answer specific client objectives.
• Perform quality control of output, statistical modelling and integrate research insight from a wide variety of sources.
• Start taking ownership of final model selection, initially with guidance from a senior colleague, but work hard to learn the processes and improve your own model sign-off capabilities such that less guidance is required over time.
• Take ownership of final model sign-off, to be verified by analytics director.

Creation of presentations: Result interpretation and rationale, recommendations, translation of results from analytics into actionable recommendations

• Set up deck flow or support client lead in doing so and create placeholders to be populated by the team. Also being able to communicate details of expectations to the junior team.
• Ensure that all content is checked for accuracy and that it is correctly labelled, complete, and ready for delivery to client.
• Check deck content ensuring it contains consultancy output rather than a series of factual statements.
• Provide input into the results and implications and comment on the interpretation for future strategies.
• Be able to explain and justify any potential changes that need to be made to provide sensible results.
• Interpret results and understand the implications of these results to the client. Be able to explain your interpretation to the team and defend your POV.
• Create draft of recommendations to the client and organize any follow-up or areas of clarification needed.

Project & Resource Management: Project management, timing plans, tasks allocation, project delivery

• Liaise with team members and external suppliers to agree on lead times for each stage of the project, oversee analyst tasks within this to meet deadlines set.
• Assign responsibilities to team members and ensure tasks are completed in the timely manner.
• Manage day-to-day operational aspects of the project using resources at your disposal to their full potential.
• Take responsibility for day-to-day client relationship/contact.
• Work closely with relevant stake holders to ensure effective and efficient implementation of the project and ensure our clients are delivered market leading analytics tailored to their specific needs.
• Simultaneously manage a broad range of research projects, create and deliver project plan and timings and revise as appropriate to meet changing needs.
• Manage multiple analyst teams as required.

Team Support & Development: Team collaboration, leadership, communication

• Lead by setting a good example (role model) – behaviour consistent with words; motivate and inspire.
• Assign team members with tasks that allow them to meet their personal goals and objectives.
• Assist team members in interpreting the tasks they have been set.
• Facilitate problem solving and collaboration.
• Intervene when necessary to aid the group in resolving issues.
• Identify and acknowledge team members’ individual strengths and nurture skills to the benefit of the team.
• Ensure that any staff experiencing performance difficulties are managed appropriately and work to identify measures that could be used to improve performance.
• Identify training and development needs jointly with team members and their personal managers.
• Take responsibility for the identifying talented professionals on your team, passing on this information to the project lead and their personal manager.
• Start to take responsibility for creating an environment oriented to trust, open communication, creative thinking, and cohesive team effort. Take a more holistic (less day to day) view of things.
• Provide the team with a vision of the project objectives; initially support may be required from more senior members in the team.

Business Development: New business development, client retention, business development planning, management and research. Support client leads in achieving revenue targets.

• Support client leads in achieving revenue targets and with tasks relating to pitch material creation or internal product and services collateral / R&D etc.
• Attend conferences, meetings and industry events particularly when these are for your industry vertical or horizontal specialties.

NOTE: WE RELY ON LEGITIMATE INTEREST AS A LEGAL BASIS FOR PROCESSING PERSONAL INFORMATION UNDER THE GDPR FOR PURPOSES OF RECRUITMENT AND APPLICATIONS FOR EMPLOYMENT.

When you click “Submit Application”, this will send any information you add to Gain Theory. Before you do this, we think it’s a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice which explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it