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For Companies At a Glance
- Tasks: Transform data into insights that drive product and business strategies.
- Company: Join GoHenry, a leading fintech empowering families with financial education.
- Benefits: Flexible work options, generous leave, health plans, and ongoing development opportunities.
- Why this job: Be part of a mission to help kids master money skills for life.
- Qualifications: Experience in data analytics and proficiency in SQL; programming skills are a plus.
- Other info: Dynamic team culture focused on innovation and societal change.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Data Analyst I, GoHenry
GoHenry is a UK-based fintech company created by parents to pioneer financial education. More recently, GoHenry moved into Europe and the US by joining forces with French fintech company PixPay and US investing app, Acorns. Together, Acorns, PixPay, and GoHenry have over 6 million members across 5 countries. We are focused on empowering families with engaging money management tools, educational content, and a seamless product experience that creates financial well‑being from birth to adulthood.
We are looking for a Data Analyst I to join our growing team and help turn data into actionable insights that shape our product and business strategy. You will play a key role in supporting various departments by providing the analysis needed to make smart, data‑driven decisions.
What you will do at GoHenry
- Partner with product, marketing, and engineering teams to understand their data needs and deliver analytical solutions.
- Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) for the GoHenry product.
- Conduct deep‑dive analyses to uncover trends in customer behavior, product engagement, and business performance.
- Translate complex data and findings into clear, concise, and actionable recommendations for stakeholders.
- Write and optimize SQL queries to extract and manipulate data from our data warehouse.
- Contribute to a culture of data-driven decision‑making across the team.
What you will bring to GoHenry
- 1–3+ years of experience in data analytics, business intelligence, or a similar quantitative role (relevant internship or academic project experience will be considered).
- Proficiency in SQL for querying large, complex datasets.
- Familiarity with a programming language like Python or R for data analysis (preferred but not required).
- Experience utilizing analytics tools, including Tableau, Databricks, dbt, Amplitude, and Mixpane, to analyze data and drive business insights.
- Strong analytical mindset with the ability to break down ambiguous problems into manageable components.
- Excellent communication skills, with the ability to explain technical concepts to non‑technical audiences.
- Developing skills to create an effective story with data, assist in presentation, and make recommendations to stakeholders.
- Ability to work semi‑autonomously with stakeholders.
- A bachelor’s degree in a quantitative field like Statistics, Economics, Computer Science, or a related discipline is preferred.
- Hunger to deliver game-changing products.
- Exceptional drive and precision in delivery.
- A belief that your work is tied to your life\’s mission.
- Optimistic about the potential of societal change.
What’s in it for you
- GoFlex – Work from Home, Office, or a mix of both
- Your Birthday Day off
- 25 days annual leave, in addition to 8 UK bank holidays
- An excellent induction & onboarding program with ongoing learning & development throughout your career
- A choice between Bupa Health Cash Plan or Bupa Private Medical
- Death in service – 4× your annual salary from month 1
- Physical and Mental Wellbeing support and platforms for you and your family
- Family-friendly leave policies
- Enhanced maternity leave – 20 weeks full basic pay after 2 years’ service and 26 weeks full basic pay after 3 years’ service
- Paternity leave – 4 weeks full pay after probation
- Salary Sacrifice options
About GoHenry
We’re on a mission to help every kid be smart with money. Our goal? Create generations of independent, confident young adults, armed with money skills that will set them up for life. How we do it: We place the power in the hands of young people, giving them the tools they need to master the financial ropes for themselves. They can spend, save, earn, and give with GoHenry’s prepaid debit card and app – because learning through doing really works (and it’s more fun!). All while our unique built-in controls give parents total peace of mind.
Why Join
- We ranked #38 in Newsweek’s Top 100 Most Loved Workplaces in the UK in 2023
- We’re one of Tech Track’s top 50 fastest-growing UK companies.
- We won Finders Kid’s Cards Customer Satisfaction Awards in 2022 and 2023.
- We won the Tech for Good award at the Better Society Awards 2023.
- Our kids and parents have donated over ÂŁ500,000 of their own money to NSPCC via their GoHenry accounts.
GoHenry is an equal‑opportunity employer, and we’re on a mission to foster a diverse & inclusive workplace. Individuals seeking employment at GoHenry are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
Referrals increase your chances of interviewing at GoHenry by 2x.
Location: London, England, United Kingdom
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Data Analyst I employer: GoHenry
Contact Detail:
GoHenry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst I
✨Tip Number 1
Network like a pro! Reach out to current employees at GoHenry on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and familiarising yourself with data analytics tools mentioned in the job description. Practice explaining complex data concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 3
Show your passion for financial education and data-driven decision-making during interviews. Share examples of how you've used data to drive insights in past roles or projects. This will demonstrate that you align with GoHenry's mission and values.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the GoHenry team.
We think you need these skills to ace Data Analyst I
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst I role. Highlight your experience with SQL and any relevant tools like Tableau or Python, as these are key for us at GoHenry.
Showcase Your Analytical Skills: In your application, give examples of how you've turned data into actionable insights in previous roles or projects. We love seeing how you can break down complex problems and communicate findings clearly.
Be Authentic: Let your personality shine through in your written application. We’re looking for someone who’s not just skilled but also passionate about making a difference in financial education for kids.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you in the running for this exciting opportunity at GoHenry.
How to prepare for a job interview at GoHenry
✨Know Your Data Tools
Familiarise yourself with the analytics tools mentioned in the job description, like SQL, Tableau, and Python. Be ready to discuss how you've used these tools in past projects or internships, as this will show your practical experience and readiness for the role.
✨Understand GoHenry's Mission
Dive into GoHenry's mission of empowering young people with financial skills. During the interview, express your enthusiasm for their goals and how your skills can contribute to their vision. This shows that you’re not just looking for a job, but are genuinely interested in making a difference.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse trends. Practice breaking down complex scenarios into manageable parts and explaining your thought process clearly. This will demonstrate your analytical mindset and communication skills.
✨Showcase Your Storytelling Skills
Be prepared to discuss how you can translate data findings into actionable insights. Think of examples where you've turned data into a compelling story or recommendation. This is crucial for the role, as you'll need to communicate technical concepts to non-technical stakeholders.
