Data Analyst

About Supernova Technology

Founded in 2014, we offer the industry’s first and only cloud-based, fully-customizable, end-to-end software solution to automate securities-based lending from origination through the life of the loan. By combining thought leadership in suitability and risk management with industry-leading education and the latest technology, Supernova enables advisors to deliver holistic, goals-based advice and to help their clients achieve financial wellness. We partner with the industry’s largest banks, most prominent insurance companies and leading online brokerages to democratize access to securities-based lending and better the entire financial ecosystem.

Why Join Supernova?

At Supernova Technology, we believe that the best results come from a team that is passionate, driven, and supported in all aspects of their professional lives. Here, you’ll work alongside talented and innovative individuals who are committed to driving the future of securities-based lending technology. We foster a culture of collaboration, continuous learning, and growth, where each person’s contributions make a real impact.

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!