At a Glance
- Tasks: Transform complex data into actionable insights to drive growth and customer engagement.
- Company: Join a leading global education tech organisation with a strong digital focus.
- Benefits: Competitive salary, 27% pension benefit, hybrid work model, and excellent perks.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact in a role that influences strategy and performance across the business.
- Qualifications: Experience in data analysis, strong quantitative skills, and proficiency in SQL and BI tools.
The predicted salary is between 49500 - 60500 £ per year.
£45,000-£55,000 + Defined 27% Benefit Pension & Excellent Benefits
Permanent | Hybrid - London | 3 Days Onsite per Week
We are partnering with a large global education technology organisation operating across 100+ countries, generating more than £600m in annual revenue and engaging with over 2.5 million users globally. The organisation is investing significantly in its digital learning and workplace proposition and is looking for a commercially minded Performance Manager to turn complex data into actionable insight that drives growth, customer engagement, pricing, investment and profitability. This is an excellent opportunity for an experienced Data, BI or Performance Analyst looking to move beyond traditional reporting into a role with genuine commercial and strategic influence.
Core experience:
- Define and monitor commercial and product performance KPIs
- Analyse customer, product, marketing and financial data to identify growth opportunities
- Develop dashboards and reporting for senior leadership
- Analyse customer acquisition, engagement, retention and profitability
- Support pricing strategy, forecasting, ROI and investment cases
- Identify trends, risks and opportunities across digital products and customer journeys
- Translate complex analysis into clear commercial recommendations
- Help leadership determine where to invest, prioritise and improve
- Support the continued development of the organisation's data and performance capabilities
Essential experience:
- Strong background in BI, Data Analysis, Commercial Analysis or Performance Analysis
- Experience analysing digital products, services or customer journeys
- Strong quantitative and commercial analytical skills
- Experience with SQL, Excel and BI/visualisation tools such as Power BI, Tableau or Looker
- Ability to turn complex datasets into clear, actionable business insight
- Strong stakeholder management and communication skills
- Experience working across Product, Sales, Marketing or Finance functions
- GA4 experience would be advantageous
- Experience within EdTech, SaaS, subscriptions or another data-rich digital environment would be beneficial
One stage interview process via MS teams.
Performance Manager - Digital & Online Proposition in London employer: IntecSelect
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StudySmarter Expert Advice🤫
We think this is how you could land Performance Manager - Digital & Online Proposition in London
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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 IntecSelect.
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We think you need these skills to ace Performance Manager - Digital & Online Proposition 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 IntecSelect, 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 IntecSelect. 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 IntecSelect
✨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 IntecSelect!
✨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.
