At a Glance
- Tasks: Analyse data to drive growth strategies and improve user experience.
- Company: Join Twinkl, a forward-thinking company transforming education through data.
- Benefits: Enjoy flexible working, 33+ days annual leave, and a supportive culture.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by unlocking insights from extensive datasets.
- Qualifications: Experience in data analytics, proficient in SQL and data visualisation tools.
The predicted salary is between 63000 - 77000 £ per year.
Salary: Up to £70,000
Location: Sheffield HQ / Hybrid / Remote (Must be UK Based)
Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We're building a world-class data function to power the next generation of our data platform, with modern tools and practices at our core. Introducing new tools and concepts and elevating the business to a higher standard of Data Literacy.
As a Senior Data Analyst with a track record of using data to improve growth and funnel strategies, you will be a pivotal part of our dynamic Team of 20+ data professionals, helping to unlock the full potential of our extensive datasets.
As a Senior Data Analyst, you will play a fundamental role in supporting an area's strategy through data-driven insights. You will collaborate closely with the B2B team to understand their objectives, analyse user behaviour, and identify opportunities for improvement. Your expertise in data analytics and insight delivery will enable you to uncover user frictions, hidden patterns, measure performance and make meaningful recommendations.
What will you be doing?
- Build strong relationships with Product, Growth and cross-functional teams to understand business objectives and translate them into actionable analytical focus areas
- Deliver deep insights and clear recommendations that shape the area strategy and drive innovation, growth, and customer value
- Identify and monitor key performance indicators (KPIs), developing strategies to improve them through data-driven experimentation and optimisation
- Partner with Product Managers and Business Area Leads to conceptualise, prioritise, test, and launch new products and features based on data insights
- Analyse A/B and multivariate tests to measure the impact of new features, content, and campaigns on user acquisition, engagement, and retention
- Support digital analytics tracking by gathering requirements, raising implementation requests, and performing debugging and QA
- Collaborate with Data Engineering teams to ensure data quality, define data requirements, and improve data collection processes
- Independently troubleshoot tracking issues and escalate complex problems to technical specialists when needed
- Stay current with developments in GCP, analytics tools, and trends in digital product and subscription businesses
What do we need from you?
- Has extensive experience in a data or analytics role, ideally within an eCommerce or subscription-based business
- Demonstrates a proven track record of analysing user behaviour by querying raw data from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment
- Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential
- Deep understanding of key eCommerce and subscription metrics such as Sessions, Bounce Rate, Conversion Rate, Retention, Churn, LTV, and ARPU
- Strategic thinker with a strong grasp of experimentation principles, including A/B testing and experimental design methodologies
- Excellent prioritisation and time management skills; comfortable working to deadlines and managing multiple tasks
- Confident communicator who can present complex data and insights clearly to a range of stakeholders, including the Executive Team
What’s in it for you?
- A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process
- Flexible working with fully remote and hybrid working options - early bird or night owl? No problem - our flexible working policy helps you work the hours that suit you best
- 33 days annual leave per year, pro rata. You decide which public holidays to recognise. After 2 years of employment, your annual leave entitlement will accrue year on year up to 38 days annual leave
- An additional day of annual leave, a Me Day, to take time for yourself
- Charity day to volunteer and support a registered charity of your choice
- Westfield Health (including Health Club discount and Westfield Rewards discount and cashback)
- Learning and Development opportunities, with opportunities for internal mobility across various departments / areas of the business
- 4 x annual salary death in service life assurance
- Enhanced pension after long service
- Enhanced parental and adoption leave after long service
- Quarterly awards designed to reward and recognise our wonderful Twinkl employees
- Seasonal events for all UK employees so you can catch up with your new colleagues in person
- Twinkl Subscription
At Twinkl, we encourage diversity, and our doors are open to everyone. We're committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know. We're here to support you on your journey.
Senior Data Analyst (B2B Sales) employer: Twinkl
At Twinkl, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and growth. With a focus on professional development, our team enjoys flexible working arrangements, generous annual leave, and a supportive environment that fosters collaboration and innovation. Join us in making a meaningful impact in education while enjoying the benefits of a dynamic and rewarding workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (B2B Sales)
✨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 Twinkl!
✨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 Senior Data Analyst (B2B Sales) at Twinkl.
✨Leverage Professional Networks
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 Twinkl.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst (B2B Sales) at Twinkl, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst (B2B Sales)
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 Twinkl, 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 Twinkl. 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 Twinkl
✨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 Twinkl!
✨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.
