Datatech

Senior Analyst - ECM Hybrid London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company We're talking about a forward-thinking consumer finance business, delivering products that genuinely put customers in control. Innovative. Ethical. Customer first. No jargon. No unnecessary complexity. Just fair, transparent lending and smart, data led decision making. If you like the sound of shaping strategies that make a real difference. Read On. The Role We're looking for a commercially minded Senior Analyst to join a collaborative analytics team, working at the heart of customer engagement and portfolio performance. The opportunity sits within an Existing Customer Management' analytics environment. This is a hands-on, data-driven role where you'll shape strategies that deepen customer relationships, improve profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends into strategies that shape customer journeys. Collaborate with stakeholders across product, finance, and operations to deliver measurable impact. About You You're not just about the numbers, you know how to use them to tell a story and influence change. You're confident in keeping communication sharp and to the point, while still being respectful, helping save time and keep things running smoothly for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. Credit Card industry experience A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For MySQL, AWS, or other big-data platform experience. Proven track record in consumer finance strategy. Experience linking analytics to commercial decisions. What's on Offer Competitive salary, annual bonus, and regular pay reviews. Hybrid working with London office presence. Great benefits package: pension, private medical, life cover, enhanced leave, and more. This is your chance to join a growing, purpose driven business, and to see your work make a direct impact on customers. APPLY NOW

Senior Data Scientist - Consumer Behaviour - exciting scale up' proposition London office hybrid 3 days per week Salary negotiable dep on experience to 90,000 + stock options Job Reference J12960 Please note this client is unable to offer sponsorship so please ensure you have full UK working rights. Measure Protocol are looking for a smart, creative and dynamic Senior Data Scientist to help shape and mould their approach and products to build the best-in-class consumer data company. At Measure Protocol, they believe in building a team of true owners. That's why they offer stock options to all employees as part of their compensation package, so you share in the value you help create. As Measure grows, so does your stake, aligning our success with yours and giving you a real opportunity to participate in the upside of something meaningful from the ground up. About Measure Measure is building the world's first ethical and transparent human data marketplace. The world we live in is awash in data: what we watch and wear, who we know, what we do, and how we live our lives. Unfortunately, most of this data is owned and controlled by corporations and we have very little say in when and where it gets used, let alone being compensated for its use. Measure has a bold mission with a lot of complexities, but they believe there is a real opportunity to change how we manage and monetise our data lives with more control, and in a way that benefits us personally, and as a society as a whole with better data-supported decisions. Measure has recently raised investment from both venture capital and strategic firms and work with some of the world's leading brands to provide them access to consumer behavioural data which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact of different media channels (TV, digital, print) on sales, considering factors like seasonality and competition. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. If this sounds like the role for you then please apply to our retained recruiters, Datatech Analytics, today!

Analytics Engineer - dbt & SQL Location: City of London - Hybrid (3 days/week during probation, then 2 days/week) Salary: 35,000 - 40,000 (dependent on experience) Ref: J13009 Please note sponsorship is not available now or in the future. An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies. An Analytics Engineer is needed to help shape the future of data in a business where performance, innovation, and impact come together. You'll sit at the heart of the Marketing Intelligence team, transforming complex data into clean, trusted, and highly usable products that inform real-time marketing strategies for some of the UK's most recognisable brands. This is a role for someone who doesn't just write SQL, but builds scalable, structured models that empower analysts, marketers, and data scientists to move faster and smarter, all while contributing to a Data for Good ethos that drives meaningful, measurable outcomes. Build and maintain robust data models in DBT, transforming raw data into high-quality, trusted sources for analytics and activation. Manage onboarding of new data feeds from discovery to documentation, collaborating with both technical and business stakeholders. Champion data quality, creating tests and alerts to ensure confidence and consistency in our outputs. Work closely with senior leaders across data and marketing to align models with business objectives. Contribute to and evolve our Python tooling, adapting scripts and automations to support the wider data platform. Collaborate with teams across analytics, data science, and visualisation to make sure data is accessible, meaningful, and impactful. Take ownership of projects from design through to deployment, following agile best practices. You're a curious, proactive problem-solver who's passionate about clean, well-documented data. You care about data quality, team collaboration, and making a measurable difference in how data is used across a business. Must-Have Skills: SQL - Confident in writing clean, performant queries; understands ANSI SQL principles. dbt - Experienced with building, testing, and documenting models in production environments. Python - Comfortable using and editing existing scripts; familiar with core concepts. Git - Solid understanding of version control and team-based workflows. Strong communicator - Able to translate technical topics for non-technical audiences. Team player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines, ideally using GitLab CI. Background working with media, marketing, or advertising data. The Opportunity: Work alongside smart, supportive teammates who genuinely care about data, performance, and growth. Play a key role in a business that's investing in its data capabilities for the long term. Huge emphasis on training and development Contribute to an evolving data platform and a top 1% dbt codebase that sets standards others aspire to. Be part of a company with a strong Data for Good ethos, where your work helps drive real-world results with purpose. If you're ready to develop up your analytics career, working with top-tier tools and a brilliant team, we want to hear from you. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)