At a Glance
- Tasks: Analyse data, create reports, and support clients with data-related queries.
- Company: Join Supernova, a dynamic company focused on data solutions.
- Benefits: Competitive salary, remote work options, and opportunities for career growth.
- Other info: Collaborative environment with a focus on professional development and client satisfaction.
- Why this job: Make a real impact by turning data into insights while helping clients succeed.
- Qualifications: Degree in Data Analytics or related field; strong SQL and communication skills required.
About the Role
We are looking for a Data Analyst to join our UK/Europe team in a role that balances hands-on data work with customer support. You will query, validate, and manage data and turn it into accurate reporting and insight, while also supporting clients on data-related questions, discrepancies, and operational issues. Both sides of the role are important, and the mix will vary day to day.
Working on the Supernova platform, you will investigate and resolve data issues, maintain databases, and build and maintain dashboards and reports, as well as act as a knowledgeable point of contact for clients who can trace issues and communicate findings clearly. The ideal candidate is analytically rigorous, comfortable querying and managing data, and equally at ease working with clients to resolve their questions.
Responsibilities
Data Analysis & Reporting
- Collect, clean, transform, and validate data from multiple sources; write and optimize SQL to investigate issues, reconcile records, and answer business/client questions.
- Build, maintain, and enhance dashboards, scheduled reports, and KPIs for internal stakeholders and clients.
- Analyze trends and perform root-cause analysis on data discrepancies and integration/processing failures; deliver clear ad hoc analysis to support decision-making.
- Support database maintenance (integrity checks, performance tuning, backups, access administration) in coordination with engineering.
- Support data migrations and integrations by validating mapping, conversions, and file processing, documenting issues as they arise.
Customer Support
- Serve as the point of contact for UK/Europe clients on data, reporting, and operational queries (chat, helpdesk, email, video/phone), triaging and resolving tickets within SLA and escalating when needed.
- Investigate client-reported data discrepancies across systems and translate findings into clear, non-technical explanations that build client confidence.
- Monitor data jobs, file processing, and reporting pipelines to proactively catch issues before they affect clients.
- Maintain incident documentation, knowledge-base articles, and reporting definitions.
Cross-Team Collaboration
- Represent the voice of the customer to Product, Engineering, and Program Management, surfacing recurring issues that may point to product or process changes.
- Build platform and domain expertise over time toward becoming a regional subject-matter expert for data and reporting.
Qualifications
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, or related field (or equivalent practical experience).
- 2+ years in a data analyst, business intelligence, or analytical role.
- Strong SQL skills across relational databases, plus working knowledge of database maintenance concepts (data integrity, performance, access controls).
- Proficiency with a BI tool (Power BI, Tableau, or Looker) and advanced spreadsheet skills (Excel or Google Sheets).
- Solid grasp of data quality, validation, and reconciliation practices.
- Excellent written and verbal communication skills, able to explain technical issues to non-technical stakeholders.
- Strong ownership and ability to work independently, remote, on a largely US-based team.
- Based in the UK, able to work across UK/European and US time zones, including occasional off-hours coverage.
- Scripting for data analysis (Python or R) preferred.
- Familiarity with integration concepts (APIs, SFTP/file-based transfers, message queues) preferred.
- Exposure to cloud data or logging/monitoring tools (AWS or Azure) preferred.
- Financial services, banking, or securities-based lending experience preferred.
Join us and make an impact while growing your career at Supernova!
Data Analyst in London employer: Supernova Technology™
At Supernova, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Data Analyst in our UK/Europe team, you will enjoy the benefits of flexible working arrangements, opportunities for professional growth, and the chance to make a meaningful impact while supporting clients. Our commitment to employee development and a supportive environment ensures that you can thrive both personally and professionally in this dynamic role.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
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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!
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Craft a Tailored Cover Letter:For a full-time role at Supernova Technology™, 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 Supernova Technology™. 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 Supernova Technology™
✨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 Supernova Technology™!
✨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.
