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Data Analyst

Analyzes, validates, and reports on operational data while supporting UK and European clients with data-related issues. The role requires strong SQL, BI, database, reconciliation, and communication skills, with at least two years of relevant experience.

About the job

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 and client questions.
  • Build, maintain, and enhance dashboards, scheduled reports, and KPIs.
  • 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 data and processing issues.

Customer Support

  • Serve as the point of contact for UK and European clients on data, reporting, and operational queries.
  • Triage and resolve tickets within SLA, escalating when needed.
  • Investigate client-reported data discrepancies across systems and explain findings clearly to non-technical stakeholders.
  • Monitor data jobs, file processing, and reporting pipelines to proactively identify issues.
  • Maintain incident documentation, knowledge-base articles, and reporting definitions.

Cross-Team Collaboration

  • Represent customer needs to Product, Engineering, and Program Management.
  • Surface recurring issues that may require product or process changes.
  • Develop platform and domain expertise toward becoming a regional subject-matter expert for data and reporting.

Requirements

  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • At least 2 years of experience in data analysis, business intelligence, or a related analytical role.
  • Strong SQL skills across relational databases.
  • Working knowledge of database maintenance concepts, including data integrity, performance, and access controls.
  • Proficiency with a BI tool such as Power BI, Tableau, or Looker.
  • Advanced spreadsheet skills in Excel or Google Sheets.
  • Understanding of data quality, validation, and reconciliation practices.
  • Excellent written and verbal communication skills, with the ability to explain technical issues to non-technical stakeholders.
  • Ability to work independently and across UK/European and US time zones, including occasional off-hours coverage.
  • Must be based in the United Kingdom.

Nice-to-Haves

  • Scripting experience for data analysis with Python or R.
  • Familiarity with APIs, SFTP/file-based transfers, or message queues.
  • Exposure to cloud data or logging and monitoring tools such as AWS or Azure.
  • Financial services, banking, or securities-based lending experience.

Skills

SQL, Relational Databases, Power BI, Tableau, Looker, Excel, Google Sheets, Python, R, APIs, Sftp, Message Queues, AWS, Azure, Data Validation

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