Описание
Supernova Technology provides a cloud-based, customizable, end-to-end software solution that automates securities-based lending from origination through the life of the loan. Its platform combines suitability and risk management, education, and technology to help advisors deliver goals-based advice and improve clients' financial wellness.
Задачи
- Collect, clean, transform, and validate data from multiple sources
- Write and optimize SQL to investigate issues, reconcile records, and answer business and 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 or processing failures
- Deliver clear ad hoc analysis to support decision-making
- Support database maintenance, including integrity checks, performance tuning, backups, and access administration, in coordination with engineering
- Support data migrations and integrations by validating mappings, conversions, and file processing
- Document issues arising during migrations and integrations
- Serve as the point of contact for UK/Europe clients on data, reporting, and operational queries
- Triage and resolve tickets within SLA and escalates when needed
- Investigate client-reported data discrepancies across systems
- Translate findings into clear, non-technical explanations for clients
- Monitor data jobs, file processing, and reporting pipelines to proactively identify issues
- Maintain incident documentation, knowledge-base articles, and reporting definitions
- Represent the customer voice to Product, Engineering, and Program Management
- Surface recurring issues that may indicate product or process changes
- Build platform and domain expertise toward becoming a regional subject-matter expert for data and reporting
Требования
- Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, or a related field, or equivalent practical experience
- 2+ Years of experience in a data analyst, business intelligence, or analytical role
- Strong SQL skills across relational databases
- Working knowledge of database maintenance concepts, including data integrity, performance, and access controls
- Proficiency with Power BI, Tableau, or Looker
- Advanced Excel or Google Sheets skills
- Solid understanding of data quality, validation, and reconciliation practices
- Excellent written and verbal communication skills
- Ability to explain technical issues to non-technical stakeholders
- Strong ownership and ability to work independently
- Based in the UK and able to work across UK/European and US time zones, including occasional off-hours coverage
- Nice to have: Python or R for data analysis, familiarity with APIs, SFTP/file-based transfers and message queues, exposure to AWS or Azure data or logging/monitoring tools, financial services, banking, or securities-based lending experience
Условия
No conditions specified
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data analyst in securities-based lending Arbeitgeber: Enfint
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