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Target Group

Senior Data Analyst

Target Group

. Lead the day-to-day delivery of Data Management activities .

Posted 10/27/2026full-timeRemote • United KingdomSenior💰 £48,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in Data Management, focusing on SQL and Python for data analysis and automation. Proficient in utilizing Microsoft Fabric and Power BI for data solutions, ensuring data integrity and effective communication with stakeholders.

Highest-signal resume keywords
SQL Data AnalysisPython AutomationMicrosoft FabricPower BI DevelopmentData Quality Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData ProfilingData ReconciliationPythonData ValidationData MigrationAnalytical Problem-SolvingDAXData ModellingRoot-Cause Analysis
Soft Skills
CommunicationCollaborationStakeholder EngagementAnalytical ThinkingProblem-Solving
Tools & Technologies
Microsoft FabricPower BIPower QueryData PipelinesAnalytical Datasets
Industry Keywords
Data ManagementData IntegrityClient MigrationData Quality ToolsOperational Risk

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Lead the day-to-day delivery of Data Management activities
  • Maintain data and system integrity while managing risks and issues
  • Analyse and resolve complex data queries across existing portfolios and new client migrations
  • Communicate findings clearly to business and technical audiences
  • Guide projects through the migration lifecycle from requirements and implementation planning to dress rehearsals and go-live
  • Reconcile, profile and validate data during onboarding
  • Ensure stakeholders understand findings affecting migration or ongoing servicing
  • Collaborate with clients, project managers and internal teams as the servicing data expert
  • Contribute to workshops, meetings and bid responses
  • Improve data-quality tools, reporting and controls
  • Develop automated solutions that reduce manual effort, processing time, errors and operational risk

Requirements

What you’ll need
  • Strong practical SQL experience analysing, profiling, reconciling and validating complex data from multiple sources
  • Experience using Python to analyse data, automate repeatable processes and create reusable data-quality and reconciliation controls
  • Experience with Microsoft Fabric or an equivalent cloud data platform, including data pipelines, analytical datasets, notebooks and reporting solutions
  • Power BI experience, including Power Query, data modelling, KPI development and DAX
  • Proven analytical and problem-solving ability, including trend, variance, anomaly and root-cause analysis
  • Ability to translate business requirements into scalable analytical solutions
  • Ability to explain complex issues to technical, business and senior stakeholders
  • Knowledge and experience with Centrac is desirable

Benefits

Comp & perks
  • Meaningful work with opportunities to make a real impact for clients and customers
  • Supportive and inclusive culture where individuality is valued
  • Ongoing learning, development and career progression opportunities
  • Regular feedback, recognition and support
  • 30 days holiday entitlement plus bank holidays (From Day 1)
  • Defined Pension Contribution Scheme, employer matched up to 6%
  • Salary Exchange / Salary Sacrifice option
  • Employee Discount Scheme and cashback on purchases
  • Company Paid Private Medical Insurance
  • Group Life Assurance
  • Group Income Protection
  • Discretionary Annual Pay Review
  • Discretionary Annual Bonus Scheme
  • Loyal Service Scheme with financial recognition, additional holidays, and matched pension contributions of up to 10% at key service milestones
  • Free Flu Vaccinations
  • Eye Tests and employer contribution towards glasses
  • Recognition Scheme
  • Free Mortgage Advice and Support
  • Wisdom Wellbeing resources and Employee Assistance Program
  • Everest Funeral Concierge
  • Free Bereavement and Probate Advice and Support
  • 24/7/365 GP access through GP24
  • Paid eye tests and employer contribution towards spectacles for VDU use
  • Enhanced parental leave
  • Technology Buying Scheme
  • Discounted Gym Memberships
  • Taste Card / Coffee Club Membership
  • Charitable Payroll Giving
  • Cycle to Work Scheme (Salary Sacrifice)