Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into actionable insights and collaborate on diverse projects.
- Company: Dynamic analytics agency with a focus on innovation and growth.
- Benefits: Flexible working, £500 learning budget, health care plan, and employee options scheme.
- Why this job: Join a team that values your growth and makes a real impact on businesses.
- Qualifications: Degree in a quantitative field and experience in analytics or engineering.
- Other info: Fun work environment with monthly events and excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Our mission is simple, we turn data into value. We are a modern analytics agency that works with some of the fastest growing businesses and top tier VCs globally. We help our clients and their portfolio companies build efficient, scalable and cost-effective data pipelines, high-ROI data use cases and world-class analytics teams. Our founding team previously built analytics at Bumble, from the beginning to $3 billion exit within 5 years. As we enter into our key phase of growth, we are looking for a highly driven data analyst that is, like the rest of the team, a perfect blend of technical capabilities and business focus. You will work on an exciting range of projects, use a variety of data tools, and have a direct impact on our clients’ products and customers. You will learn and grow with our team and our clients.
What You Will Do
This is a great opportunity for anyone keen to build a broad knowledge of analytics and its immediate impact on company growth and profitability. You will be working with some of the most inspirational teams on a wide range of projects. There are no 2 clients alike but here are some of the common tasks:
- Advise clients on high-ROI data use cases and create implementation roadmaps to get to business values quickly and expand iteratively.
- Gather business requirements and create data dictionaries that guide the project delivery.
- Design and build efficient data models to surface business insights efficiently.
- Implement testing to ensure trust and integrity of the data pipelines.
- Collaborate with the data engineering team on the deployment and maintenance of data architectures.
Analytics
- Deliver automated dashboards using various visualisation tools.
- In-depth analyses on a wide range of topics around customer behaviours.
Don’t worry if some of the above looks unfamiliar yet. You will be supported by some of the sharpest minds in data and analytics. If you are confident in 50% of them, we will help you grow to 100%!
Who You Are
Experience & Education
- A degree or master’s level education, ideally within a quantitative discipline (e.g., Mathematics, Computer Science, Economics).
- 2-5 years in an analytics or engineering role.
- Experience analysing data to drive business impact.
Strategic Skills
- Business-focused and ability to produce actionable insights.
- Organised, collaborative and ability to deliver projects in a timely fashion.
- Effective communication skills, both written and oral.
- Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues.
Technical Skills
- Advanced SQL skills essential.
- Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi.
- Knowledge of dbt.
- Familiarity with data warehouses like BigQuery, Snowflake and Redshift.
- Knowledge in another programming language such as Python or R or a keen desire to develop programming skills.
Other Skills
- Strong ability and desire to learn.
- Fluency in any of the European languages is a plus.
Why Work With Us
- A focused yet fun working environment.
- We host monthly events with the whole team.
- Flexible remote and office working with 1-day per month in the office in central London.
- £500 learning budget per year plus 3 days to attend in-person conferences.
- Additional holidays after 2 years with the company.
- Health care plan with Vitality.
- Employee options scheme - share in the success you help create.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Data Analyst in London employer: 173tech
Contact Detail:
173tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and business acumen. Be ready to discuss how you've used data to drive business impact in past roles. We want to see that you can blend technical know-how with a strategic mindset!
✨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 proactive about their job search!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Data Passion: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've turned data into actionable insights in previous roles. We love seeing candidates who are genuinely excited about the impact of analytics.
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience, especially with SQL and visualisation tools. We want to see how your skills align with our mission of turning data into value, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Be sure to mention your business focus and any collaborative projects you've worked on. We appreciate a personal touch that shows you’ve done your homework on us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at 173tech
✨Know Your Data Tools
Familiarise yourself with the data tools mentioned in the job description, like SQL, Metabase, and Tableau. Be ready to discuss your experience with these tools and how you've used them to drive business impact in previous roles.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've analysed data to produce actionable insights. Think about a project where your analysis led to significant business outcomes and be ready to explain your thought process.
✨Understand the Business Context
Research the company and its clients to understand their business models and challenges. This will help you tailor your responses and demonstrate your business-focused mindset during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the types of projects you'll be working on or how the team collaborates with clients to implement data solutions.