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Data Insights Analyst
Instant Impact. Collaborate with business stakeholders to define, review, and refine reporting requirements, KPIs, and performance metrics.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Power BI dashboard development, data modelling, and analytics, with a strong focus on delivering actionable insights and maintaining data integrity. Proficient in stakeholder engagement and communication, ensuring alignment on reporting requirements and performance metrics.
Highest-signal resume keywords
Power BI Dashboard DevelopmentSQL Querying and AnalysisData Modelling (Dimensional and Star Schema)AI-Enabled Business Intelligence (Power BI Copilot)Stakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Power BIDAXPower QuerySQLPythonData CleansingData AnalysisData VisualisationAnalytics Data ModellingPerformance Optimisation
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsStakeholder EngagementTraining and Support
Tools & Technologies
Power BI CopilotAPIsData SourcesReporting SolutionsExecutive-Level Insights
Industry Keywords
Business IntelligenceReporting RequirementsKPIsPerformance MetricsData IntegrityGovernance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Collaborate with business stakeholders to define, review, and refine reporting requirements, KPIs, and performance metrics.
- Gather, blend, cleanse, enrich, and analyse data from multiple systems, APIs, and data sources.
- Deliver executive-level insights and recommendations to support strategic business decisions.
- Design, develop, and maintain Power BI dashboards, semantic models, and paginated reports.
- Apply best-practice BI design principles, including usability, accessibility, and performance optimisation.
- Continuously enhance reporting solutions based on stakeholder feedback and evolving business needs.
- Develop and maintain analytics-focused data models, including dimensional models and star schemas.
- Document business rules, transformation logic, and source-to-target mappings to support reporting delivery.
- Ensure data integrity, consistency, and governance across reporting environments.
- Partner with Data Engineering teams to ensure datasets are optimised for reporting and analytics.
- Leverage emerging AI-enabled BI capabilities, including Power BI Copilot and automated insights features.
- Provide training, guidance, and support to reporting and dashboard users.
- Manage multiple reporting and analytics initiatives while maintaining strong stakeholder engagement.
- Contribute to the continuous improvement of reporting, analytics, and data quality capabilities.
Requirements
What you’ll need- Strong hands-on experience with Power BI, including DAX, Power Query, semantic modelling, and dashboard development.
- Experience using AI-enabled business intelligence capabilities, such as Power BI Copilot or automated insights.
- Strong SQL skills, with experience querying and analysing complex datasets.
- Familiarity with Python for analytics, automation, or data preparation activities.
- Solid understanding of analytics data modelling, including dimensional modelling and star schema design.
- Experience working with source systems, APIs, and multiple data feeds.
- Proven ability to design and deliver impactful dashboards and management reporting solutions.
- Experience blending, cleansing, validating, and interpreting data from a variety of sources.
- Strong analytical and problem-solving skills, with the ability to translate data into actionable business recommendations.
- Excellent understanding of data visualisation best practices and storytelling techniques.
- Strong communication and stakeholder management skills, with the ability to explain complex concepts to non-technical audiences.
- Experience partnering with business teams to define and maintain reporting requirements, KPIs, and metrics.