Data Analyst

DAC Beachcroft

. Act as the primary point of contact for data-related requests, managing demand from discovery through governance and delivery handover .

Posted 10/27/2026full-timeBristol • 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, governance, and quality management, with strong skills in SQL and Python for data extraction and validation. Proven ability to engage stakeholders, translate business requirements, and manage multiple priorities effectively.

Highest-signal resume keywords

SQL SkillsData Governance KnowledgeAnalytical SkillsAzure DevOps ExperienceBusiness Requirements Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData Quality AssessmentSQLPythonBusiness Rules DefinitionKPI DevelopmentData ValidationTrend IdentificationRoot Cause AnalysisReporting Standards Contribution

Soft Skills

Stakeholder EngagementOrganizational SkillsAttention to DetailCommunication SkillsJudgment

Tools & Technologies

Azure DevOpsPower BIMicrosoft FabricModern Analytics PracticesMetadata Management

Certifications & Qualifications

Microsoft CertificationsBCS CertificationsIIBA CertificationsData Analysis Certifications

Industry Keywords

Legal Business DataProfessional ServicesRegulated SectorData OwnershipSelf-Service Analytics

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Act as the primary point of contact for data-related requests, managing demand from discovery through governance and delivery handover
Lead stakeholder discovery sessions to understand business challenges, priorities and success measures
Challenge assumptions and align solutions to genuine business needs
Use SQL and analytical techniques to investigate data quality issues, identify trends, uncover root causes and validate findings
Translate business requirements into data definitions, business rules, acceptance criteria and recommendations
Assess data quality, risks, dependencies and feasibility with technical delivery teams
Support data governance initiatives covering business definitions, KPIs, metadata, ownership and data quality standards
Maintain documentation, decisions and requirements using Azure DevOps or equivalent tools
Provide proactive updates, manage priorities and escalate risks
Contribute to reporting standards, knowledge sharing and adoption of modern analytics practices

Requirements

What you’ll need

Experience delivering business or data analysis work from problem definition through to solution handover
Strong analytical and investigative skills, with the ability to identify patterns, anomalies and business insights
SQL and/or Python skills for data extraction, validation and analysis
Experience gathering and documenting business and data requirements
Ability to engage, challenge and influence stakeholders at different levels
Knowledge of data quality, governance, data ownership and delivery risks
Strong organisational skills and ability to manage multiple priorities independently
Experience using Azure DevOps or similar work management tools
Excellent written and verbal communication skills
High levels of accuracy, judgement and attention to detail
Experience within a law firm, professional services environment or another regulated sector
Knowledge of legal business data such as clients, matters, billing, profitability or client reporting
Experience with Power BI or other modern BI tools
Understanding of Microsoft Fabric concepts and modern data platforms
Exposure to data governance frameworks, metadata management or self-service analytics
Relevant Microsoft, BCS, IIBA or Data Analysis certifications

Benefits

Comp & perks

Inclusive and accessible recruitment process
Reasonable adjustments available at any stage of the application, assessment or interview process
Opportunities to develop expertise in Power BI and Microsoft Fabric
Clear progression path towards Senior Data Analyst or Lead Data Analyst roles
Collaborative environment where innovation is encouraged