At a Glance
- Tasks: Champion data insights to drive business outcomes and support product teams.
- Company: Innovative tech insurance company empowering small businesses and communities.
- Benefits: Flexible working, generous leave, private medical insurance, and personal development opportunities.
- Other info: Inclusive culture that values diverse backgrounds and promotes personal growth.
- Why this job: Join an award-winning team and make a real impact with data-driven decisions.
- Qualifications: 6+ years as an Analyst or Data Scientist with advanced SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Company Overview
We insure small businesses and enable big dreams – not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades. We’re a technology company as well as an insurer. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called ‘The Big Dreams Project’, we’re helping up to 10,000 small businesses start or grow by 2030.
Job Details
- Job Category: Technology
- Position Type: Permanent
- Target Openings: 1
What Is the Opportunity?
As our new Staff Data Analyst, you will champion the strategic use of data across Simply Business, ensuring every insight we uncover is directly aligned with our business outcomes and expanding global operations. You will join an award‑winning international data team pioneering Big Data and analytics technologies.
Responsibilities
- Deliver high‑quality analysis and recommendations to support Product Teams in achieving their core objectives.
- Carry out in‑depth customer journey analysis and measure the impact of multi‑channel strategies.
- Uncover hidden insights through ad‑hoc data exploration, visualization, and best‑in‑class self‑service tooling.
- Partner with data engineers to evolve our data sets and pipelines, ensuring our tech stack remains cutting‑edge.
- Promote the capabilities of the analysis team across the business to foster a data‑first mindset.
- Mentor junior team members and collaborate with managers to drive individual and team development.
Qualifications and Experience
- At least 6 years of experience as an Analyst or Data Scientist, backed by a STEM, Economics, or similar degree.
- Advanced SQL knowledge with a passion for deep data exploration.
- Proven aptitude for complex problem‑solving and conducting robust A/B tests.
- Collaborative partner who excels at working across cross‑functional product and development teams to test hypotheses.
- Willingness to challenge the status quo and ask tough questions.
- Prior knowledge of the insurance industry is a plus, though not essential.
We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be yourself and do your best work.
Benefits
- Great work‑life balance with manageable workloads and flexible hybrid working.
- 25 days annual leave (plus bank holidays) with the option to buy five extra days through flexible benefits.
- Flexible parental leave with up to six months full pay for the primary caregiver and four weeks full pay for the secondary caregiver.
- Life event leave: extra days every two years for major life moments such as moving house or birthdays, and a two‑week paid sabbatical after five years of service, then four weeks off after ten years.
- Private medical insurance through BUPA, covering pre‑existing conditions, plus a health cash plan for everyday medical expenses.
- Competitive salary based on experience and market, with the potential to earn an annual bonus.
- Access to a dedicated learning platform for personal development and mental health support via counseling.
- Pension match up to five percent, with a tax‑free life assurance policy up to ten times basic salary.
- Salary‑sacrifice car scheme for a brand new, fully insured, maintained car on a fixed monthly amount after six months of service.
- Flexible benefits scheme to allocate an annual amount toward benefits such as critical illness cover, dental insurance, travel insurance, or gym membership.
Employment Practices
Simply Business is committed to providing equality and opportunities for all employees and candidates. We do not discriminate on the basis of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation, or relationship status at any stage of the hiring process or during employment.
Staff Data Analyst in London employer: Simply Business
Simply Business is an exceptional employer that champions a culture of innovation and inclusivity, making it an ideal place for a Staff Data Analyst to thrive. With a strong commitment to employee growth, flexible working arrangements, and a comprehensive benefits package, including generous parental leave and personal development resources, we empower our team to achieve their best while contributing to meaningful projects that support small businesses globally. Join us in a dynamic environment where your insights will directly impact our mission to enable big dreams for our customers and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Analyst in London
✨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 Simply Business!
✨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 Staff Data Analyst at Simply Business.
✨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 Simply Business.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Data Analyst at Simply Business, 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 Staff Data Analyst 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 Simply Business, 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 Simply Business. 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 Simply Business
✨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 Simply Business!
✨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.
