Senior Data Analyst – Regulatory Data & Risk Analytics at Infoplus Technologies UK Limited
London, New South Wales, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 26

Salary

0.0

Posted On

24 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services;Software Development & Publishing

Description

About the job


Role: Senior Data Analyst – Regulatory Data & Risk Analytics

Location: London

Working Model: Hybrid – 3 days per week onsite

Type: Permanent

Clearance: Active SC – Mandatory



Key Technical Requirements

  • Strong hands-on SQL and experience analysing large, complex datasets.
  • Strong data investigation, data quality and data validation experience.
  • Experience identifying duplicates, missing data, inconsistencies and anomalies.
  • Experience developing or analysing risk indicators.
  • Strong Tableau or Power BI dashboarding experience.
  • Experience with AWS, particularly S3, DynamoDB, Athena or similar data services.
  • Experience validating calculations and analytical outputs.
  • Good understanding of statistical concepts, including standard deviation and anomaly analysis.
  • Regulatory, financial services or another highly regulated industry experience.
  • Strong stakeholder management and ability to communicate analytical findings to senior stakeholders.

The type of experience the client is looking for

This is not simply a reporting/dashboarding position.

The client is particularly interested in candidates who can demonstrate how they have:

  • Investigated an unfamiliar dataset and identified the root cause of an issue.
  • Assessed data quality, integrity and completeness.
  • Investigated duplicate or missing company/reference/serial numbers.
  • Identified and prioritised risks using data.
  • Validated calculations and challenged incorrect results.
  • Investigated anomalies and determined whether they were genuine risks or data-quality problems.
  • Worked across multiple data sources and reconciled conflicting information.
  • Built dashboards that support business/risk decisions.
  • Challenged stakeholders constructively when the data did not support an assumption.

Responsibilities
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