At a Glance
- Tasks: Design and deliver advanced data solutions to enhance clients' digital strategies.
- Company: Join a leading consultancy known for innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by leveraging data to drive client success.
- Qualifications: 5+ years in data consultancy with strong analytical and technical skills.
The predicted salary is between 70000 - 90000 £ per year.
Senior Data Insights Consultant will design, build and deliver advanced data solutions to empower clients’ digital communication strategies at enterprise scale.
Responsibilities
- Architecting, building, and delivering value‑adding insights solutions, serving as a key advisor to clients on how to leverage their data assets to optimise large‑scale communication strategies.
- Performing advanced analysis to uncover actionable patterns, trends, and opportunities that directly inform client strategy and decision‑making.
- Designing and running test‑and‑learn programs (A/B tests, incrementality, holdouts) across channels to measure impact and continuously optimise communication performance.
- Partnering with senior stakeholders to define strategic business questions and translating them into robust analytical frameworks and data roadmaps.
- Supporting or leading the data‑stream on complex, large‑scale projects with globally recognised brands, ensuring that data solutions and integrations are designed and delivered for scalability and business impact.
- Driving ongoing proactive client ideation—identifying new opportunities, use cases, and data‑driven initiatives that help clients grow their business.
- Helping drive agentic AI adoption, exploring and embedding agentic solutions into our data and insights workflows to enhance efficiency and client value.
- Providing answers and insights to business‑related questions via automated reporting solutions as well as ad‑hoc data analyses, including building reports and insights dashboards within marketing platforms such as Adobe and Salesforce.
- Mentoring, reviewing, and advising less senior team members—elevating quality, fostering technical excellence, and supporting their professional growth.
- Collaborating with highly skilled specialists including Account Managers, Architects, Developers, Creatives, Strategists, Data Scientists and Marketing Operations experts to service our clients coherently.
What you bring to the table
- You possess a strong consultancy mindset, demonstrating resilience, curiosity, and an eager‑to‑learn attitude.
- You combine this with strong business acumen, allowing you to understand and anticipate client needs effectively.
- You are outgoing and love being part of interdisciplinary projects and solutions, and you have the drive, enthusiasm, and technical credibility to act as the primary data and insights advisor for senior client leadership, guiding them through complex challenges and inspiring them to grow their business.
Technical skills
- A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions.
- Can independently design, build, and optimise modern analytics solutions that are scalable, maintainable, and ready for real‑world production use.
- Write, debug, and optimise complex SQL queries, ensuring clarity, efficiency, and production readiness.
- Design and build scalable dimensional data models from raw source systems (fact/dimension structures, performance‑aware design).
- Apply strong data modelling principles, governance standards and practices that ensure data accuracy, consistency, and security.
- Develop and manage DBT transformations using layered architecture, including testing and documentation best practices.
- Build production‑ready Power BI semantic models and dashboards, including advanced DAX measures, performance optimisation, and secure data access (RLS).
- Work collaboratively using GitHub, following structured branching, pull request, and code review workflows.
- Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights.
- Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric).
- Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability to build and deliver reports and insights dashboards natively within these tools is a strong advantage.
Interpersonal skills
- Technical stakeholder management and influence: A proven ability to build trust and act as a strategic partner to senior‑level clients and internal leaders. You can confidently navigate complex, technical stakeholder environments and influence decision‑making through data‑driven reasoning.
- Communication and storytelling: Exceptional written and verbal communication skills in English, with the ability to articulate complex data concepts and insights into clear, compelling narratives for both technical and senior business audiences.
- Consultative and solutions‑oriented mindset: The ability to critically assess complex business challenges, ask probing questions to uncover root causes, and propose robust, data‑driven solutions.
- Leadership and mentorship: Proven experience in coaching and mentoring junior team members. You actively foster a culture of technical excellence, collaboration, and continuous learning within the team.
- Autonomy and critical thinking: You are a self‑starter who can think critically, identify issues and opportunities autonomously, and take the initiative to propose and implement corrective actions.
Equal Opportunity Employment
WPP (VML MAP) 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.
Senior Data Insights Consultant in London employer: Map
At WPP (VML MAP), we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through mentorship opportunities and a focus on continuous learning, ensuring that our team members thrive in their careers while working on impactful projects with globally recognised brands. Located in a vibrant environment, we provide a unique advantage for those looking to make meaningful contributions in the field of data insights and analytics.
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We think this is how you could land Senior Data Insights Consultant in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data Insights Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Map, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Map. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Map
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Map!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
