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.
- Other info: Fun work environment with monthly events and excellent career development opportunities.
- 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.
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
At our modern analytics agency, we pride ourselves on fostering a dynamic and supportive work culture that empowers our employees to thrive. With a strong focus on professional development, we offer a generous learning budget, flexible working arrangements, and the opportunity to collaborate with some of the brightest minds in the industry. Join us in London, where you can make a tangible impact on client success while enjoying a fun and engaging team environment.
StudySmarter Expert Advice🤫
We think this is how you could land 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 173tech!
✨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 Data Analyst at 173tech.
✨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 173tech.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at 173tech, 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 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 173tech, 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 173tech. 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 173tech
✨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 173tech!
✨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.
