Data Analyst

Job Summary:

The Data Analyst designs, builds, and maintains enterprise-grade reporting and data models using Microsoft Power Platform (Power BI). The role owns the end-to-end lifecycle—from capturing requirements and defining KPIs, to semantic model design, DAX development, visualization best practices, security (RLS/OLS), performance optimization, and release via deployment pipelines.

The role enables self-service analytics and standardizes KPI logic across WeOne and ensures data quality and governance compliance, and partners with cross-functional stakeholders to deliver impactful decision support. The developer collaborates closely with Data Platform/IT on data sources (Azure SQL/Synapse/Data Lake) and with business teams on adoption and continuous improvement.

Key Accountabilities:

1. Engage stakeholders to translate business questions into measurable KPIs, metrics, and user stories; document acceptance criteria and define standard aggregations per the KPI master standard.
2. Design intuitive, role-based report experiences aligned to DP World visualization standards and accessibility best practices.
3. Build clean, performant star-schema models and semantic layers; develop measures with DAX and transformations with Power Query (M) or dataflows; apply data types, formats, and hierarchies consistently
4. Implement incremental refresh, composite models, and DirectQuery/Import strategies; optimize with aggregations where needed.
5. Develop interactive reports and dashboards in Power BI Desktop following storytelling and visual design best practices; use field parameters, bookmarks, and tooltips for guided analysis.
6. Standardize KPI cards, visuals, themes, and nomenclature for cross-report consistency.
7. Implement Row-Level Security (RLS) and Object-Level Security (OLS); manage workspaces, datasets, and lineage in Power BI Service.
8. Adhere to naming conventions, documentation standards, and data governance policies; validate logic against golden sources.
9. Establish data validation checks and reconcile to source-of-truth; remediate data quality issues with source teams.
10. Use Power BI Deployment Pipelines (Dev/Test/Prod) and ALM Toolkit for schema diff/merges; integrate with version control (e.g., Git) where applicable.
11. Monitor refresh reliability, model size, and performance (DAX Studio/Performance Analyzer); maintain SLAs and optimize load times.
12. Create release notes, data dictionaries, and how-to guides; conduct enablement sessions for business users and WeOne reporting champions.
13. Track usage metrics, drive adoption, and iterate based on feedback and telemetry.
14. Work with Transformation, Finance, Operations, Commercial, and IT Data Platform to prioritize backlog and deliver value in sprints.
15. Identify automation opportunities (dataflows, parameters, templates) and reusable patterns to accelerate delivery.

Qualification, Experience and Skills:

Essential Qualification: Bachelor’s degree in Computer Science, Information Systems, Data/Analytics, or related field.

Desirable Qualification: Master’s degree preferred.

Relevant certifications (any of): PL‑300 (Power BI Data Analyst Associate), DP‑600 (Microsoft Fabric Analytics Engineer Associate).

Work Experience: 4–6 years in analytics/reporting; 3+ years hands-on with Power BI (Desktop & Service) including DAX, Power Query, and semantic modeling.