At a Glance
- Tasks: Dive into data to solve real-world business challenges and drive impactful decisions.
- Company: Join Insurify, a dynamic startup revolutionising the insurance industry.
- Benefits: Enjoy unlimited PTO, hybrid work, competitive health benefits, and catered lunches.
- Other info: Great opportunities for growth in a fast-paced, supportive environment.
- Why this job: Be part of a team that values innovation and collaboration while making a difference.
- Qualifications: Passion for data, experience with SQL and Python, and a collaborative spirit.
The predicted salary is between 35000 - 45000 £ per year.
Insurify is looking for a Business Analyst to be a part of a rotational analytics program. Analysts will have the opportunity to work within our Marketing, Analytics, and Engineering teams to solve cross-functional, high velocity, high impact analytics problems and scale the business using data. This will include a mix of business analytics, analytics engineering, and data science using SQL and Python. This role is about using data to make our company better across all areas of the business, so we want people who are excited to tackle a wide range of structured and unstructured problems using data!
- Analyze a novel dataset to recommend areas for the business to improve.
- Operate and improve a core data product optimizing for multiple competing KPIs.
- Build new data pipelines to support tracking of a new business initiative.
- Innovate data modeling and data presentation to drive business understanding.
- Improve prediction accuracy of our customer acquisition machine learning bidding algorithms.
- Build reports and dashboards to help power the company’s decision making.
- Do customer segmentation analysis to discover where to improve Insurify products.
Benefits:
- Hybrid schedule: It’s our priority to ensure that employees stay connected, motivated, and supported.
- Unlimited PTO: Take the time you need when life happens.
- Health & Wellness: Competitive medical, dental, and vision benefits. HSA/FSA options, and more.
- Catered lunches, free snacks and beverages in the office: If you work at one of our homebases, enjoy food, drinks, and good conversation — on us.
- Save for tomorrow: 401(k), matching contributions and company stock options.
- Commuting reimbursement: Regardless of your commute — whether by public transport or driving to the office — we fully reimburse you for any expenses.
Qualifications:
- Quick learning ability and a drive suitable for the startup hustle.
- A friendly cooperative disposition and an eagerness to learn.
- Expertise in and real-world experience with SQL, Python (preferred), or R.
- Strong quantitative and programming skills with a product-driven sensibility.
- A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!
- Website tracking: HTML, Javascript, website tracking analytics, pixel and event tracking.
- Familiarity with production data systems, big data, Apache Spark, dbt, and SQL.
- Any domain specific experience relevant to Marketing, SEO, Retention, Product.
- Experience in data analysis in consumer / retail / e-Commerce / SaaS.
- Knowledge of statistics.
- Bachelors in computer science, analytics, economics, or other STEM major required.
Business Analyst in Cambridge employer: Insurify
At Insurify, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. Our Business Analysts enjoy a hybrid schedule, unlimited PTO, and comprehensive health benefits, all while working in a vibrant environment that encourages innovation and personal growth. With opportunities to engage in cross-functional projects and access to catered lunches and commuting reimbursements, we ensure our team members feel valued and supported as they contribute to transforming the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst in Cambridge
✨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 Insurify!
✨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 Business Analyst at Insurify.
✨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 Insurify.
✨Apply Directly through Our Website
When you find a suitable opening like Business Analyst at Insurify, 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 Business Analyst in Cambridge
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 Insurify, 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 Insurify. 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 Insurify
✨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 Insurify!
✨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.
