At a Glance
- Tasks: Lead data analysis projects, mentor teams, and drive data-informed decisions across the company.
- Company: Join Plum, a forward-thinking company dedicated to making an impact through data.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
- Why this job: Shape the future of analytics and influence key business strategies with your insights.
- Qualifications: 7+ years in data analysis, expertise in SQL, Python, and A/B testing.
The predicted salary is between 70000 - 90000 € per year.
We are looking for an exceptional Lead/Staff Data Analyst, who is excited about Plum’s mission, to join as a company-wide analytics leader.
You have 7+ years in a quantitative role, with deep experience in A/B testing, causal inference, and translating data into business impact, and you are comfortable working with tools like SQL, dbt, and Python.
You are an experienced mentor, raising the bar for analytics through best practices, frameworks, and standards. You are excited about working on ambiguous problems in a fast-paced environment. You are able to connect data to product and business strategy, uncovering actionable insights about our customers.
What the job involves:
- You will help expand the value we deliver across Plum through defining data standards, championing best experimentation practices, and driving data-informed decision making across teams.
- You will define and evolve Plum’s analytics strategy, including ownership of core metrics, experimentation standards, and measurement frameworks across the company.
- You will mentor and guide Data Analysts embedded in product squads (dotted-line), helping raise the quality and impact of their work, while partnering closely with the Data Platform and Machine Learning teams.
- You will lead high-impact, cross-functional projects (e.g. growth, retention, monetisation, or product optimisation), from problem definition through to insight and recommendation.
- You will regularly partner with senior leadership across product, engineering, design, finance, marketing and ops to influence decisions with data and shape product and business strategy.
Lead or Staff Data Analyst in London employer: Deepstreamtech
At Plum, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Lead/Staff Data Analyst, you will not only have the opportunity to shape our analytics strategy but also benefit from a collaborative environment that encourages mentorship and professional growth. With a focus on innovation and data-driven decision-making, Plum offers a unique chance to make a meaningful impact while working alongside passionate individuals in a fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead or Staff Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead/Staff Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your A/B testing projects and data insights. We want to see how you’ve turned data into business impact, so make sure it’s easy for potential employers to see your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL, dbt, and Python skills, and be ready to discuss how you’ve tackled ambiguous problems in the past. We’re all about data-informed decision making, so come armed with examples.
✨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, we love seeing candidates who are genuinely excited about Plum’s mission.
We think you need these skills to ace Lead or Staff Data Analyst in London
Some tips for your application 🫡
Show Your Passion:When you’re writing your application, let your enthusiasm for Plum’s mission shine through. We want to see that you’re not just looking for a job, but that you genuinely care about making an impact in the analytics space.
Highlight Relevant Experience:Make sure to showcase your 7+ years of experience in quantitative roles. Talk about your expertise in A/B testing and causal inference, and how you've used tools like SQL, dbt, and Python to drive business impact. We love seeing concrete examples!
Mentorship Matters:Since mentoring is a key part of this role, don’t forget to mention any experience you have in guiding others. Share how you’ve raised the bar for analytics in previous roles and how you can bring that same energy to our team.
Connect the Dots:We’re looking for someone who can link data to product and business strategy. In your application, illustrate how you’ve uncovered actionable insights in the past and how you plan to do the same at Plum. Remember, we want to see your thought process!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in SQL, dbt, and Python. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve ambiguous problems or provide insights from data. Think of examples where you've successfully tackled similar challenges, especially in A/B testing or causal inference. This will help you showcase your analytical thinking and problem-solving skills.
✨Showcase Your Mentorship Experience
Since the role involves mentoring other analysts, be prepared to discuss your experience in guiding teams. Share specific instances where you’ve raised the bar for analytics or implemented best practices. This will highlight your leadership qualities and commitment to team development.
✨Connect Data to Business Strategy
Be ready to explain how you've previously linked data insights to product and business strategies. Prepare examples that illustrate your ability to influence decisions with data, as this is crucial for the role. Demonstrating this connection will show that you understand the bigger picture.
