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Progeny

Data Analyst

Progeny

Data Analyst turning complex data into insights for a modern wealth management firm. Developing dashboards and automating tasks with Power BI and Power Platform.

Posted 7/2/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis, transformation, and visualization, with strong skills in SQL, Power BI, and Microsoft Power Platform. Capable of improving data quality and governance while effectively communicating insights to stakeholders.

Highest-signal resume keywords
SQL SkillsPower BI DevelopmentMicrosoft Power PlatformData Quality ManagementStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData TransformationData CleansingData ValidationData ModellingAPI IntegrationAutomationDashboard DevelopmentExcel ProficiencyProblem Solving
Soft Skills
Detail-OrientedOrganizational SkillsProactive ApproachCollaborationCommunication Skills
Tools & Technologies
Power BIPower AutomateAI-Assisted ToolsCo-Pilot
Industry Keywords
Financial ServicesWealth ManagementData GovernanceData PracticesEmerging Technologies

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Analysing and transforming complex datasets into clear, actionable insight to support decision-making
  • Developing and maintaining dashboards and reports using Power BI
  • Improving data quality through cleansing, validation, and robust processes
  • Automating manual tasks using Power Platform tools such as Power Automate and low-code solutions
  • Managing and supporting data flows across systems, including API integrations
  • Investigating and resolving data issues to ensure accuracy and consistency
  • Collaborating with stakeholders across the business to understand requirements and deliver solutions
  • Supporting ongoing data transformation initiatives, including changes to systems and processes
  • Leveraging AI-assisted tools (e.g. Co-pilot) to improve efficiency and accelerate delivery
  • Driving continuous improvement in data practices, controls, and governance

Requirements

What you’ll need
  • Proven experience in a data analyst or similar analytical role
  • Experience working with financial services or wealth management data
  • Strong SQL skills and experience working with large, complex datasets
  • Advanced Excel skills and hands-on experience with Power BI
  • Experience using Microsoft Power Platform to build dashboards, automations, or applications
  • Strong understanding of data quality, data modelling, and governance principles
  • Able to translate complex data into clear insight for non-technical stakeholders
  • Highly organised, detail-oriented, and capable of managing multiple priorities
  • A proactive problem-solver with a track record of improving processes and efficiency
  • Strong communication and stakeholder management skills
  • Comfortable working across both technical and business teams
  • Interest in AI and emerging technologies, with a willingness to adopt new tools and approaches

Benefits

Comp & perks
  • 30 days holiday plus public holidays
  • 3 days of celebratory leave (to be used for your birthday, wellbeing, volunteering, or other celebratory events important to you)
  • Private medical insurance, 24/7 digital GP and health advice
  • Employee assistance programme providing support for your mental and physical health
  • Group pension scheme
  • Life assurance scheme
  • Eyecare vouchers
  • Enhanced family leave
  • Referral scheme