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InvestEngine

Data Analyst

InvestEngine

. Support the design and rollout of a data governance framework covering data ownership, definitions, lineage and retention policies .

Posted 9/16/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, regulatory compliance, and data transformation using SQL and dbt. Proficient in automating analytical workflows and communicating insights effectively to diverse stakeholders.

Highest-signal resume keywords
Strong SQL SkillsData Governance Framework DevelopmentExperience with dbtModern BI Tools ProficiencyAI Tools for Analytical Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData TransformationData GovernanceAutomation of ReportsAnalytical ThinkingProblem-SolvingVersion ControlData Quality AnalysisRegulatory ComplianceData Modelling
Soft Skills
Clear CommunicationCollaborationConfidence to Challenge Status QuoAdaptabilityAnalytical Mindset
Tools & Technologies
DbtAI ToolsMetabaseLightdashOmniLookerGitCI/CD PracticesData CatalogueDashboards
Industry Keywords
Consumer DutyCASSKYC/AMLGDPRMarket Abuse RegulationFintechFinancial ServicesData Retention PoliciesComplianceRisk Management

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Support the design and rollout of a data governance framework covering data ownership, definitions, lineage and retention policies
  • Translate regulatory requirements such as Consumer Duty, CASS, KYC/AML and GDPR into data controls, monitoring and reporting
  • Maintain and evolve the analytics glossary, data catalogue and semantic layer
  • Support internal and external audit requests with documented, reproducible analysis
  • Build and maintain data transformations and models using SQL and dbt
  • Automate recurring reports, reconciliations and alerts
  • Use AI-enabled tools such as Claude and Copilot for analysis, coding, QA and documentation within compliance guardrails
  • Contribute to version control, peer review and lightweight CI/CD practices
  • Build and maintain dashboards and reports using modern BI tools
  • Support wider analytics with ad hoc analysis as the role broadens
  • Work with the Chief Data Officer on data accuracy, reconciliation and quality
  • Raise data quality issues and support root-cause analysis
  • Collaborate with Compliance, Risk, Legal, Operations, Product and Commercial stakeholders
  • Communicate insights and regulatory detail in clear, accessible narratives
  • Propose and help adopt new tools, architectures and ways of working

Requirements

What you’ll need
  • Experience in a Data Analyst, Business Analyst, Compliance Analyst or similar role
  • Strong SQL skills
  • Hands-on experience with dbt, or strong aptitude and willingness to learn modern transformation tooling quickly
  • Familiarity with data governance and relevant regulatory/compliance topics such as Consumer Duty, CASS, KYC/AML, GDPR, Market Abuse Regulation or data retention is desirable
  • Demonstrated habit of automating, simplifying or redesigning manual processes
  • Experience or strong interest in using AI tools for analytical workflows, including AI-assisted coding, prompt engineering and automation of repetitive tasks
  • Comfortable with version control, including git
  • Experience with modern BI tools such as Metabase, Lightdash, Omni or Looker
  • Strong analytical thinking and problem-solving ability
  • Clear written and verbal communication skills, including with non-technical, compliance-focused stakeholders
  • Confidence to challenge the status quo and propose alternatives
  • Experience in fintech or financial services is desirable but not essential

Benefits

Comp & perks
  • Award-winning investment platform environment
  • Modern, automated and AI-enabled analytics stack
  • Opportunity to shape analytics tools, architectures, team structures, and ways of working
  • Professional exposure to Compliance, Risk, Operations, Product and Commercial stakeholders
  • Career broadening from governance and compliance into wider analytics support