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- Tasks: Analyse complex datasets and create impactful reports using SQL, Python, and visualisation tools.
- Company: Join a forward-thinking company committed to data excellence and inclusivity.
- Benefits: Flexible working, career development opportunities, and a supportive team environment.
- Why this job: Make a real difference by transforming data into actionable insights for the business.
- Qualifications: Experience with SQL, Python, and data visualisation tools is essential.
- Other info: Diverse and inclusive workplace with a focus on employee support and growth.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a highly skilled Data Analyst to play a pivotal role in transforming Chambers into a truly data-driven insights business. Working within a dedicated data team alongside analysts, data engineers and AI engineers, you will translate business needs into high-impact analytical reports, solutions and products.
Success in this role requires curiosity, motivation and a strong focus on delivering value. You will be comfortable working with data quality principles and actively contributing to data quality initiatives across the organisation, reflecting Chambers' commitment to data excellence. This role is London-based, with a minimum of two days per week in the office.
Main Duties and Responsibilities:
- Analyse complex datasets to expose insights using a skillset composed of SQL, Python, Databricks and visualisation tools (Power BI, Tableau).
- Investigate and reconcile data across operational databases, the data lake, and the lakehouse to support business and data governance needs.
- Develop and maintain business intelligence dashboards across various domains.
- Collaborate closely with stakeholders to translate business requirements into effective solutions, maintaining continuous feedback loops.
- Data exploration and profiling, you should be comfortable combining new datasets to build measures and dig for insights across various data sources.
- Conduct data quality analysis and build quality metrics in line with our data excellence strategy and business requirements.
- Work closely with data engineers, data analysts, data governance and subject matter experts to resolve issues and produce clean documentation to foster knowledge.
Data Analyst in London employer: MANCOMM
Contact Detail:
MANCOMM 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 current employees at Chambers or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL, Python, and data visualisation skills. We want to show off our analytical prowess, so practice explaining complex datasets in simple terms.
✨Tip Number 3
Don’t forget to showcase your curiosity! During interviews, ask insightful questions about their data initiatives and how they maintain data quality. It shows we’re genuinely interested in contributing to their goals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! We love candidates who are eager to explore data and uncover insights. Share examples of how you've tackled complex datasets or solved tricky problems in the past.
Tailor Your Skills: Make sure to highlight your skills in SQL, Python, and any visualisation tools like Power BI or Tableau. We want to see how your experience aligns with our needs, so don’t be shy about showcasing relevant projects or achievements!
Emphasise Collaboration: Since this role involves working closely with various teams, mention any collaborative experiences you’ve had. Talk about how you’ve translated business requirements into effective solutions and maintained feedback loops with stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, we can’t wait to hear from you!
How to prepare for a job interview at MANCOMM
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of the tools that are crucial for the role.
✨Show Your Curiosity
During the interview, demonstrate your curiosity by asking insightful questions about the data challenges the company faces. This not only shows your interest in the role but also highlights your motivation to contribute to their data-driven initiatives.
✨Prepare for Data Quality Discussions
Since data quality is a key focus for the company, be prepared to talk about your experience with data quality principles. Think of examples where you've identified and resolved data issues, and how you contributed to improving data governance.
✨Collaborate and Communicate
Highlight your ability to work closely with stakeholders. Prepare examples of how you've translated business needs into analytical solutions, and be ready to discuss how you maintain feedback loops to ensure alignment with business objectives.
