At a Glance
- Tasks: Use data to solve real business problems and create impactful solutions.
- Company: Join Code First Girls, empowering women in tech through free education.
- Benefits: Enjoy flexible working, generous leave, and a chance to study for free after 6 months.
- Other info: Opportunity for remote work and international travel for up to 90 days a year.
- Why this job: Be part of a mission-driven team transforming lives and communities through technology.
- Qualifications: Strong SQL and Python skills; passion for data and emerging tech is key.
The predicted salary is between 40000 - 48000 £ per year.
Join to apply for the Senior Data Analyst (12-month FTC) role at Code First Girls
Join to apply for the Senior Data Analyst (12-month FTC) role at Code First Girls
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We’re looking for a Senior Data Analyst to join our Data team.
Code First Girls offers family-friendly, flexible working arrangements. With an office on Old Street, we offer remote or hybrid working with one day in the office a week for those based in London or the South East. For those outside of the South East, we have in-person full team meetups in London approximately once a month.
ABOUT THE COMPANY
Code First Girls is on a mission to close the gender gap in the tech industry by providing employment through free education. We’ve already helped more than 200,000 women learn to code and by working with companies globally, we’re boosting employability, diversity and social mobility, transforming local economies and communities. But we want to go further – our aim is to provide one million opportunities for women to learn to code and participate in the industry in the next five years, becoming the world’s first EdTech unicorn dedicated to women.
ABOUT YOU & THE ROLE
As a Senior Data Analyst, you’re passionate about using data to answer important business questions. You’re not here to just build reports; you’re here to build solutions. You thrive on solving problems that matter, working closely with teams across the business to translate messy challenges into models, insight and interactive data products that empower your colleagues to take action.
- Commercial Acumen First:You think about the business impact of your work and can connect data analysis to key performance indicators (KPIs).
- A Proven "Analytics Translator": You have a demonstrated ability to bridge the gap between technical teams and business stakeholders. You can simplify the complex and articulate a clear, compelling story.
- Pragmatic & Outcome-Focused:You understand that done is better than perfect. You can lead multiple projects, fail fast and iterate quickly in a fast-paced environment, always with an eye on the final business outcome.
- Strong Analytical Capability:
- Excellent SQL skills for complex querying, data wrangling and performance optimisation.
- Proficiency in Python for data analysis.
- A solid grasp of statistical concepts, with hands-on experience in experimentation and A/B testing.
- Familiarity with data visualisation and application tools (e.g. Tableau, Retool)
- A Passion for What's Next:You have a demonstrable interest in emerging technologies like AI/ML and think creatively about how they can be applied to solve business challenges.
The above is our wishlist, please don’t be put off applying if you don’t match all of those criteria. Skills can be taught, but what’s most important to us is finding the right person for our team.
WHAT YOU’LL BE DOING
- Be a Trusted Business Partner:Act as a true consultant to teams across the business to solve real commercial problems using data, building models and decision frameworks that help us answer tough questions and make confident calls.
- Champion Data-Driven Decisions:Help us move from instinct to evidence. You will design, run and analyse experiments (e.g. A/B tests) to measure the impact of our initiatives and prove what works.
- Turn Insight into Direction:Your insights are only as good as the change they drive. You will craft compelling narratives, demonstrating the "so what" behind every analysis.
- Build and Deploy Actionable Data Products:Go beyond dashboards. You will identify opportunities to operationalise data by designing, building and maintaining interactive applications and tools (e.g. using Retool). These products will empower teams to access, explore and act on data directly, improving efficiency and enabling self-service analytics.
- Help Shape Our Future:You will have the opportunity to contribute to projects applying machine learning to business challenges like customer churn, lead scoring and user segmentation.
- Share Your Knowledge:Contribute to our data culture by sharing your expertise, collaborating on projects and helping colleagues improve their analytical skills.
OTHER ROLE INFO & BENEFITS:
- Salary: £50k to £60k DOE+ opportunity for up to 10% bonus, dependent on company performance
- Annual leave:20 days + 7 days over Christmas + 1 Special Occasion Day (+ 8 bank holiday days). Optional: Buy or sell 3 days of holiday, 1 Giving back day, option to work 2 days over the festive period and get additional days back.
- Parental leave:16 weeks full pay for the primary caregiver, 6 weeks full pay for the secondary caregiver. Phased return to the office for the primary caregiver (work for 4 days at full pay for 2 months).
- Flexible working:Our standard working hours are 9.30am - 5.30pm, but we offer flexibility to fit your work around your life.
- Work from Abroad:Opportunity to work from abroad for up to 90 days a year.
- Free CFGdegree education:After working at CFG for 6 months you are able to take our 16 week CFGdegree, worth £10,000 of education!
- 6% matched pension:CFG will match your pension contribution up to 6%.
- Length of service:After 3 years you get an extra day of annual leave, 2 extra days at 4 years and 3 extra days at 5 years (and 5+ years). After 5 years a 2-month sabbatical, first month paid, 2nd month unpaid is available.
- Mental health support:Free access to Spill, which offers employees free workplace support therapy sessions.
STEPS IN THE PROCESS:
- Shortlisted candidates will be invited to complete a technical assessment and recorded video interview
- Those successful after these two stages will be invited to interview and be given a task to prepare for this interview
- Final candidate/s wider team meet and greet / interview
- Target start period (depending on notice periods): October 2025
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Education
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Senior Data Analyst (12-month FTC) employer: Code First Girls
Code First Girls is an exceptional employer that champions inclusivity and professional growth, making it a rewarding place for experienced Java developers to contribute as technical coaches. With a commitment to addressing gender imbalance in tech, the company fosters a supportive remote work culture that values mentorship and collaboration, offering flexible freelance opportunities that empower coaches to shape the future of aspiring software engineers. Join us in making a meaningful impact while enjoying the freedom of remote work across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (12-month FTC)
✨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 Code First Girls!
✨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 (12-month FTC) at Code First Girls.
✨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 Code First Girls.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst (12-month FTC) at Code First Girls, 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 (12-month FTC)
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 Code First Girls, 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 Code First Girls. 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 Code First Girls
✨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 Code First Girls!
✨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.
