Data analyst in Oxford

Data analyst in Oxford

Oxford Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
MileIQ

At a Glance

  • Tasks: Frame impactful questions and analyse data to drive product decisions.
  • Company: Join Bending Spoons, a forward-thinking company focused on innovation and growth.
  • Benefits: Competitive salary, flexible work environment, and opportunities for rapid career advancement.
  • Other info: Experience a minimal hierarchy and a culture that values collaboration and creativity.
  • Why this job: Make a real impact by transforming data into actionable insights in a dynamic team.
  • Qualifications: Strong analytical skills and a passion for data-driven decision making.

The predicted salary is between 40000 - 50000 £ per year.

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers and where team members grow to their full potential. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate.

A few examples of your responsibilities:

  • Frame the right questions. Partner with product and growth manager to identify the most impactful questions—whether about pricing, feature adoption, or user behavior—and define how to answer them.
  • Own product analytics and experiments. Design, implement, and analyze experiments end to end (e.g., deciding whether a feature should be paid or free), balancing short-term impact with long-term product health.
  • Translate data into insights. Provide timely, high-quality insights to support prioritization, business planning, and product trade-offs.
  • Make insights actionable. Translate analyses and model outputs into recommendations, using dashboards and lightweight tools.

Data analyst in Oxford employer: MileIQ

At Bending Spoons, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our minimal hierarchy and small, talent-dense teams, allowing for rapid career progression and impactful contributions. Located in a vibrant environment, we integrate cutting-edge AI into our processes, ensuring that our team members not only thrive but also play a crucial role in shaping the future of digital businesses.
MileIQ

Contact Detail:

MileIQ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data analyst in Oxford

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Bending Spoons on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.

✨Tip Number 2

Prepare for the interview by diving deep into their products and recent projects. We should be ready to discuss how we can contribute to their goals, especially around data insights and product analytics.

✨Tip Number 3

Showcase our analytical skills in real-time! During interviews, we can suggest potential experiments or analyses based on their current products. This will demonstrate our proactive approach and understanding of their needs.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in being part of the Bending Spoons team.

We think you need these skills to ace Data analyst in Oxford

Data Analysis
Product Analytics
Experiment Design
Statistical Analysis
Insight Generation
Dashboard Creation
Collaboration
Problem-Solving Skills
Communication Skills
User Behaviour Analysis
Business Planning
Feature Adoption Analysis
Agility
Critical Thinking

Some tips for your application 🫡

Show Your Passion for Data: When you're writing your application, let your enthusiasm for data analysis shine through. We want to see how much you love digging into numbers and turning them into actionable insights. Share any personal projects or experiences that highlight your passion!

Tailor Your Application: Make sure to customise your application for the Data Analyst role at Bending Spoons. Highlight relevant skills and experiences that align with the job description. We appreciate when candidates take the time to connect their background to what we’re looking for.

Be Clear and Concise: Keep your application straightforward and to the point. We value clarity, so avoid jargon and long-winded explanations. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.

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 ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Bending Spoons!

How to prepare for a job interview at MileIQ

✨Know Your Data

Before the interview, brush up on your data analysis skills. Be prepared to discuss specific tools and techniques you've used in past projects. Familiarise yourself with common data sets and be ready to explain how you would approach analysing them.

✨Ask Insightful Questions

During the interview, don’t hesitate to ask questions that show your understanding of the role. Inquire about the types of experiments they run or how they measure success. This not only demonstrates your interest but also helps you gauge if the company aligns with your career goals.

✨Showcase Your Problem-Solving Skills

Be ready to walk through a case study or a problem-solving scenario. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Highlight how you framed the right questions and what insights you derived from your analyses.

✨Emphasise Collaboration

Since the role involves partnering with product and growth managers, share examples of how you've successfully collaborated in the past. Talk about how you’ve worked in small teams and how you value diverse perspectives in driving impactful decisions.

Data analyst in Oxford
MileIQ
Location: Oxford

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