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2,700

Test jobs in United Kingdom

Senior Analyst (MMM) Marketing Effectiveness & Intelligence London, England, United Kingdom

Applied Intuition Inc.

Greater London
On-site
GBP 40,000 - 60,000
16 days ago
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Senior Director, Brand Management

TAFFin.Tech

Newport
On-site
GBP 186,000 - 225,000
16 days ago

Carpenter

Mears Group

Croydon
On-site
GBP 37,000
16 days ago

Cartography Team Leader

Iberdrola España

Glasgow
Hybrid
GBP 44,000 - 55,000
16 days ago

Electrician

CBRE Group

Swindon
On-site
GBP 30,000 - 40,000
16 days ago
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Welder

Celeros Flow Technology LLC

Glasgow
On-site
GBP 35,000 - 45,000
16 days ago

Field Service Technician-Network Specialist

TDS Telecom

Greater London
On-site
GBP 60,000 - 80,000
16 days ago

Kitchen Developer: NPD & Recipe Innovation

Stansted Airport Ltd

Greater London
On-site
GBP 31,000 - 33,000
16 days ago
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First Line Risk Management Specialist

Financial Times

Greater London
On-site
GBP 60,000 - 80,000
16 days ago

LGV Driving Instructor Train to DVSA Standards

GTG Training Limited

City of Edinburgh
On-site
GBP 30,000 - 40,000
16 days ago

LGV Instructor

GTG Training Limited

City of Edinburgh
On-site
GBP 30,000 - 40,000
16 days ago

Area Sales Manager - Golf

Adidas Gruppe

Basingstoke
Hybrid
GBP 80,000 - 100,000
16 days ago

Field Service Engineer

STERIS Canada Corporation

Newbury
On-site
GBP 30,000 - 40,000
16 days ago

Product Manager

Cardinal Path, LLC

Greater London
On-site
GBP 60,000 - 80,000
16 days ago

Storeperson Rolleston, Canterbury Warehousing, Storage & Distribution (Manufacturing, Transport[...]

Fluid Recruitment Limited

Canterbury
On-site
GBP 10,000 - 40,000
16 days ago

Senior Software Engineer, Client Solutions

Winton Group

Greater London
On-site
GBP 125,000 - 150,000
16 days ago

Paid Social Director

iProspect

Manchester
On-site
GBP 60,000 - 90,000
16 days ago

Scheme Liaison Officer

GreenSquareAccord

Oxford
On-site
GBP 30,000 - 40,000
16 days ago

Operations Data Analyst (Special Projects)

Lendable Ltd

Greater London
Hybrid
GBP 50,000 - 70,000
16 days ago

Associate Product Manager

Lendable Ltd

Greater London
Hybrid
GBP 45,000 - 65,000
16 days ago

Head of Marketing (Maternity Leave Cover)

Conscious

Bristol
Hybrid
GBP 32,000 - 38,000
16 days ago

Mobile Crane Operator

Fluid Recruitment Limited

Hastings
On-site
GBP 30,000 - 40,000
16 days ago

Electro/Mechanical Field Service Engineer – Training Provided

Airport Placements

Cambridge
On-site
GBP 30,000 - 38,000
16 days ago

Senior Software Engineer

Elsevier

Oxford
Hybrid
GBP 55,000 - 75,000
16 days ago

Cyber Security Operations Engineer

Unihomes

Sheffield
On-site
GBP 40,000 - 50,000
16 days ago

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Senior Analyst (MMM) Marketing Effectiveness & Intelligence London, England, United Kingdom
Applied Intuition Inc.
Greater London
On-site
GBP 40,000 - 60,000
Full time
16 days ago

Job summary

A global marketing effectiveness consultancy is seeking a Senior Analyst to enhance client outcomes through data extraction and analysis. The successful candidate will build econometric models, summarize findings, and foster client relationships. A degree in a relevant field and programming proficiency are essential. You will join a diverse team focused on innovative solutions, with ample opportunities for professional growth and skills development. Join us in making data-informed decisions for our clients.

Benefits

Comprehensive training programs
Flexible working environment
Health and wellness benefits

Qualifications

  • Minimum 1 year experience in data analytics.
  • Proficiency in using programming tools effectively.
  • Strong communication and problem-solving skills.

Responsibilities

  • Extract, manipulate and analyze data to derive insights.
  • Build and validate econometric models.
  • Create and summarize presentations for clients.
  • Manage client relationships and provide actionable insights.

Skills

Data extraction and manipulation
Statistical analysis
Client communication
Programming (SQL, Python, etc.)
Team collaboration

Education

Degree in Economics, Mathematics, or Statistics

Tools

Excel
SQL
Python
Pandas
Google Analytics
Job description

As a Senior Analyst at Gain Theory, you will play a critical role in delivering outstanding work for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts.

You will also be expected to develop strong relationships with clients and communicate Gain Theory's approaches and beliefs. Before joining a client delivery team, you will undergo our industry-leading Training Academy, where you will gain technical skills and knowledge of our working practices and methodologies.

What you’ll be doing:

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

  • Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project.
  • Analyse all datasets to ensure that each KPI is understood and can be explained back to the team.
  • Ensure that all tables, charts and other information produced by you, or others has been checked for accuracy and formatted to GT standards before passing on to senior project team.
  • Be responsible for data collection including preparation and sending of data requests, chasing outstanding data and querying data with clients and agencies.
  • Ensure that ROVA input file is structured to meet requirements of project (e.g. order and number of variables, exclusion of unnecessary variables).
  • Ensure that all outputs are checked for accuracy by analysts; record any checks made.
  • Proficiency in using data extraction tools (i.e. Advantage, AdDynamix, Sysomos, Google Trends, Google Analytics, Double Click) and able to teach others in their use. Be aware of alternatives and the PROs / CONs of the tool.
  • Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools / approaches.

Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation

  • Building of base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables entered, understanding coefficients and SFX.
  • Taking base models, oversee or build in additional improvements and progress the model towards finalisation.
  • Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary findings and observations
  • Create sales effect/ ROI workbook, ensure it is easy to follow and all links are correct.
  • Create response curves and optimisation spreadsheets or alternatively use available tools for budget allocation. Run scenarios required to answer client objectives.
  • Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.

Creation of presentations: Content creation, summary of findings, accuracy checks

  • Create content as specified by project lead, taking responsibility for entire sections rather than focusing on just factual and data slides.
  • Assist in the creation of all areas of the deck as directed.
  • Ensure that all content is checked for accuracy and that it is correctly labelled, complete and ready for delivery to client.
  • Summarise and comment on findings, add consultancy input rather than on factual statements.

Interpretation of results: result interpretation and rationale, recommendations, translation of results from analytics into actionable recommendations

  • Provide input into the results and implications and comment on the interpretation for future strategies.
  • 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
  • Be able to explain and justify any potential changes that need to be made to provide sensible results. Especially important when reviewing others’ outputs that you are overseeing.

Client Management & Interaction: Client contact and interaction, delivery of results to the client

  • Answer specific data questions that may arise in external meetings as a senior analyst, act as a specialist closest to the data.
  • Be prepared to proactively support and engage during calls with clients (data calls, weekly calls etc.).
  • Be involved in the delivery of results to the client and present sections of presentations during meetings.
  • Proactively supporting day-to-day client contact using email and telephone where appropriate.

Team Support & Development: Team collaboration & communication

  • Work effectively with teams to ensure excellent performance.
  • Supporting and training new Analysts (Graduates) team members; including guiding new Analysts (Graduates) during their training project
  • Work as a team member in a way that reinforces Gain Theory’s Values to all colleagues
  • Assist team members and new Analysts (Graduates) interpreting the tasks they have been set.
  • Provide timely feedback to team members.

Meetings: Organisation of internal and external meetings, participation and attendance as required, agenda, minutes, lead meetings

  • Proactively support with organising internal and external project meetings, including office calendar invites and ensuring an agenda exists. Aim to lead/chair internal meetings.
  • Support the creation of an agenda to ensure content is prepared/to hand as necessary to support each agenda item.
  • Support the creation and distribution of project minutes and actions.
  • Support project lead with day-to-day operational aspects of the project.
What we want from you:
  • Minimum 1 year experience and background in similar field. Focus is data and analytics with econometrics.
  • You are highly proficient with technology, software and can demonstrate quick grasp of programming languages.
  • You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.)
  • You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions.
  • You interact with colleagues and with our clients in a way that strengthens our culture of inclusivity, diversity, care, growth and recognition.
  • You have an interest in using data and analytics to make better decisions.
  • You are tenacious, hardworking, curious and have a strong ability to communicate.
  • You demonstrate a positive desire and strong aptitude for making data informed decisions.
  • You can demonstrate good problem-solving skills and understanding of consumer behaviour.
  • You have the capacity to work and learn quickly in a fast-paced environment.
  • You take keen interest in your own learning and development.
Skills you can expect to learn & develop:
  • Comprehensive data extraction, manipulation, and analysis
  • Data validation and accuracy checks
  • Batch file creation and programming (using Excel, SQL, Python, Pandas, Analytics Workbench)
  • Model building and validation, sales effects calculations, ROIs, media optimization
  • Presentation creation and summary of findings
  • Communication and relationship building with clients
  • Technical skills development through training and continuous learning
  • Communication and presentation skills
  • Mentorship and support of junior analysts
  • Delivery of high-quality work and project management

Gain Theory is committed to actively 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.

What we pride ourselves on:
  • Growth and development
  • Flexible by design
  • Brilliant benefits
  • Culture with Heart

Our exceptional and skilled team defines Gain Theory. That's why we seek individuals who strive for excellence and continually challenge us to improve.

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.

WPP (Gain Theory) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Gain Theory isa WPP-owned consultancy. For more information , please visit please visitour website and follow Gain Theory on our social channels via LinkedIn and Twitter .

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 RecruitmentPrivacy 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 you can remove it.

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