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# Data Analyst

- **Company:** CLIENT TECHNOLOGY SOLUTIONS LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Big Data, Data Visualization, Decision Support Systems, Amazon DynamoDB, Power BI, SQL Databases, Tableau (Software)
- **Published:** August 6, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/CDA2A9B08DC4C91F2C

## About the Role

* SQL and large-scale data analysis across complex, multi-source datasets.
 * AWS services such as S3, DynamoDB, Athena, etc.
 * Data visualisation and dashboarding in Tableau or Power BI.
 * Data quality assessment, validation and improvement.
 * Stakeholder management across business and technical audiences.
 * Regulatory or financial services experience.

Desirable Skills:

 * Familiarity with regulatory or financial data reporting regimes.

Must Have:

 * Highly proactive and self-driven - sets direction and momentum without close supervision.
 * Strategically astute - operates across different business areas, building knowledge and relationships rapidly.
 * Adaptable - pivots to address new challenges at short notice as contexts change.
 * Data-fluent - experience driving data-focused projects with a solid grasp of common data challenges in large organisations.
 * Coheres competing needs - reconciles disparate business requirements into deliverable plans via engagement, workshops and governance.

## Description

* Supporting Supervisory Outcomes: Analyse risk indicators, alerts and supervisory insights to enable risk-based supervision and decision making.
 * Regulatory Data Analysis: Analyse authorisation, holdings, transactions, legal entity and regulatory reporting data. Create integrated views across firms and entities so supervisors see a coherent picture rather than fragmented sources.
 * Supervisory Intelligence and Risk Analytics: Identify trends, anomalies, concentrations and emerging risks. Support thematic reviews, quantitative investigations and synthesis of alerts.
 * Data Quality and Improvement: Assess data quality, implement validation controls and validate legal entity identifiers (LEIs). Enrich core datasets using external sources such as GLEIF, Companies House and market data proxies.
 * Reporting and Decision Support: Develop Tableau dashboards, management information and self-service analytics for Supervision teams, moving towards reusable, automated reporting.
 * Business Analysis and Stakeholder Engagement: Gather requirements, facilitate workshops and translate supervisory challenges into analytical solutions. Cohere disparate and conflicting business needs into workable plans through engagement and governance forums.
 * Future State Capability: Support the move towards automated reporting, advanced analytics, continuous monitoring and early-warning indicators, building a mature supervisory intelligence capability.


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