Data Analyst

Code First Girls; City of Westminster; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

An innovative tech education provider in the UK is seeking a Senior Data Analyst to transform data into impactful solutions and insights. This role involves building actionable data products and contributing to machine learning projects. Ideal candidates will have strong SQL and Python skills, a passion for data-driven decisions, and flexibility in working arrangements, including remote options. Join a mission to empower women in tech with a competitive salary of £50k to £60k plus bonus opportunities.

Benefits

Flexible working arrangements

20 days annual leave plus additional holiday options

16 weeks parental leave

Free CFGdegree education

6% matched pension

Mental health support

Qualifications

• Think about the business impact of your work and connect data analysis to KPIs.
• Demonstrated ability to bridge the gap between technical teams and stakeholders.
• Ability to lead multiple projects and iterate quickly in a fast-paced environment.

Responsibilities

• Act as a trusted business partner to teams, solving commercial problems with data.
• Design, run, and analyze experiments to measure initiative impacts.
• Craft narratives demonstrating the 'so what' behind analyses.

Skills

SQL skills

Python for data analysis

Statistical concepts

Data visualisation tools

Business acumen

A/B testing

Tools

Tableau

Retool

Job description

Role Overview

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.

Responsibilities

• 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.

Qualifications

• 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.

Benefits

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.

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. We aim 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.

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 9.30 am – 5.30 pm, 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.

Recruitment 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: October 2025.