At a Glance
- Tasks: Transform data into insights to enhance digital products and user experiences.
- Company: Join a leading international organisation focused on education and global collaboration.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career progression in a collaborative environment.
- Why this job: Make a real impact by improving products used by learners worldwide.
- Qualifications: Experience in data analytics, strong quantitative skills, and proficiency in SQL.
The predicted salary is between 31000 - 34000 £ per year.
Data Engineer - Value & Analytics
Working pattern: Hybrid working.
Level: Mid-Level.
A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineer to join its Value and Analytics function.
You will use data to improve digital products and services used by customers and learners worldwide.
Working with product, research, marketing and operational teams, you will measure performance, analyse customer behaviour and turn complex information into practical recommendations that improve user experience, efficiency and commercial outcomes.
This role is suited to a data and analytics professional with strong quantitative skills, experience creating dashboards and the confidence to explain findings to technical and non-technical stakeholders.
Key Responsibilities
- Design and maintain performance measurement frameworks aligned with product strategy, organisational goals and user needs
- Define and track KPIs across acquisition, engagement, retention, satisfaction, service performance and revenue
- Collect, combine and analyse data from multiple sources to identify trends, risks and opportunities
- Develop evidence-based recommendations to improve products, customer journeys and operational performance
- Create accessible dashboards, reports and visualisations that support self-service and real-time monitoring
- Produce clear performance updates, presentations and recommendations for senior stakeholders
- Analyse Google Analytics 4 data to assess digital journeys, engagement and conversion
- Combine quantitative data with user research and qualitative insight to build a complete view of customer needs
- Work with product managers, marketing and operations teams to define success measures and evaluate changes
- Ensure data used for reporting is accurate, reliable, documented and compliant with privacy and governance requirements
- Promote data-led decision-making and share analytical knowledge and good practice across teams
- Evaluate products and services against agreed strategic goals, success measures and user outcomes
- Support teams in understanding the impact of product changes, marketing activity and operational decisions
- Lead data reviews covering customer behaviour, campaign performance, service changes and new product features
- Identify and resolve data quality issues and maintain clear documentation for metrics, sources and reporting methods
Essential Experience
- Experience in performance analysis, data analytics or product analytics, including digital products or services
- Strong quantitative analysis, problem-solving and data interpretation skills
- Proficiency in SQL, Excel and analytics platforms
- Experience defining KPIs and developing product or service performance metrics
- Strong dashboard development and data visualisation experience
- Experience using Google Analytics 4
- Ability to combine multiple data sources and translate findings into actionable recommendations
- Experience producing reports and presentations for senior stakeholders
- Understanding of data quality, privacy, security and governance principles
- Strong stakeholder management, written communication and presentation skills
- Fluency in English
Desirable Experience
- Experience analysing customer acquisition, engagement, retention or commercial performance
- Experience with Power BI, Tableau or Looker
- Knowledge of cloud platforms such as Azure, AWS or Google Cloud Platform
- Experience in education technology, digital learning, subscription services or a global organisation
- Understanding of Agile delivery and digital product development
- Relevant degree, professional experience or certification in analytics, data, business intelligence or cloud technology
- Ability to investigate complex performance questions and explain what the data means, why it matters and what action should follow
- Experience collaborating with product managers, user researchers, marketing teams and operational colleagues
- Important Information
- Applicants must be a UK resident
- Applicants must have the unrestricted right to work in the UK
- No visa sponsorship is available for this role
- This position is offered on a hybrid basis, with no fully remote option
- A regular physical presence in the office is required for the success of the role
- The exact hybrid working pattern may vary depending on the selected office location
- Rates depend on experience and client requirements
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Data Engineer – Value & Analytics in London employer: Salt Digital Recruitment
Join a forward-thinking Digital Banking team that values innovation and quality, where your expertise as a Quality Assurance Test Engineer will directly impact the delivery of cutting-edge insurance products. With a collaborative work culture that encourages professional growth and the use of advanced AI tools, you'll thrive in an environment that prioritises excellence and continuous improvement. Located in a vibrant area, this role offers unique opportunities to engage with a diverse range of projects while contributing to the success of a company dedicated to enhancing customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Value & Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Salt Digital Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer – Value & Analytics at Salt Digital Recruitment.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Salt Digital Recruitment.
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We think you need these skills to ace Data Engineer – Value & Analytics 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 Salt Digital Recruitment, 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 Salt Digital Recruitment. 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 Salt Digital Recruitment
✨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 Salt Digital Recruitment!
✨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.
