DATA ANALYST at We One

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

0.0

Posted On

25 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power Bi Desktop, Power Bi Service, Dataflows, Semantic Models, Rls, Ols, Deployment Pipelines, Dax, Power Query (M), Data Modeling, Star Schema, Performance Tuning, Visualization, Agile Delivery, Data Governance, Sql

Industry

Professional Services

Description

3. KEY RESPONSIBILITY 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. Design intuitive, role-based report experiences aligned to DP World visualization standards and accessibility best practices. 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 Implement incremental refresh, composite models, and DirectQuery/Import strategies; optimize with aggregations where needed. 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. Standardize KPI cards, visuals, themes, and nomenclature for cross-report consistency. Implement Row-Level Security (RLS) and Object-Level Security (OLS); manage workspaces, datasets, and lineage in Power BI Service. Adhere to naming conventions, documentation standards, and data governance policies; validate logic against golden sources. Establish data validation checks and reconcile to source-of-truth; remediate data quality issues with source teams. Use Power BI Deployment Pipelines (Dev/Test/Prod) and ALM Toolkit for schema diff/merges; integrate with version control (e.g., Git) where applicable. Monitor refresh reliability, model size, and performance (DAX Studio/Performance Analyzer); maintain SLAs and optimize load times. Create release notes, data dictionaries, and how-to guides; conduct enablement sessions for business users and WeOne reporting champions. Track usage metrics, drive adoption, and iterate based on feedback and telemetry. Work with Transformation, Finance, Operations, Commercial, and IT Data Platform to prioritize backlog and deliver value in sprints. Identify automation opportunities (dataflows, parameters, templates) and reusable patterns to accelerate delivery. 4. TECHNICAL COMPETENCIES Reporting & Modeling (Power Platform – Reporting) Power BI Desktop & Service: datasets, dataflows, semantic models, RLS/OLS, deployment pipelines, workspace mgmt. DAX / Power Query (M): advanced measures, calculation logic, query folding, transformations. Data Modeling: star schema, slowly changing dimensions, hierarchies, aggregations, incremental refresh, composite models. Performance Tuning: DAX optimization, model size reduction, summarization tables, Performance Analyzer, DAX Studio. Visualization Standards: storytelling, accessibility, design patterns, corporate themes. Data & Platform SQL (Azure SQL/Synapse), files in Data Lake Gen2, optional: Fabric/OneLake if in scope. Tools: Tabular Editor, ALM Toolkit, DAX Studio; optional: Power BI REST API; basic Python/Excel for ad hoc. Delivery & Governance Agile delivery: backlog, sprint planning, user stories, acceptance criteria. Documentation & Data Governance: lineage, glossary, data dictionary, usage metrics. IT Project Management Plan and prioritize tasks to achieve milestones; manage dependencies with data platform teams. IT Innovation Prototype new visuals, parameters, and templates; evaluate Fabric features to improve performance and maintainability. 5. FUNCTIONAL RELATIONSHIPS Transformation Office (WeOne), Finance, Operations, Commercial, HSE, HR Analytics, Corporate Strategy/PMO, IT Data Platform/Security, Internal Audit (as needed), and external partners/vendors. Trade is the lifeblood of the global economy, creating opportunities and improving the quality of life for people around the world. DP World exists to make the world’s trade flow better, changing what’s possible for the customers and communities we serve globally. With a dedicated, diverse and professional team of more than 115,000 employees from 160 nationalities, spanning 78 countries on six continents, DP World is pushing trade further and faster towards a seamless supply chain that’s fit for the future. We’re rapidly transforming and integrating our businesses -- Ports and Terminals, Marine Services, Logistics and Technology – and uniting our global infrastructure with local expertise to create stronger, more efficient end-to-end supply chain solutions that can change the way the world trades. What's more, we're reshaping the future by investing in innovation. From intelligent delivery systems to automated warehouse stacking, we’re at the cutting edge of disruptive technology, pushing the sector towards better ways to trade, minimizing disruptions from the factory floor to the customer’s door. DP World is on a mission to transcend boundaries and bridge the gap between all nations and cultures – not just in what we do but also in how we behave. We are dedicated to creating a culture where everyone feels respected, supported, and empowered to reach their full potential. We believe that embracing inclusion and diversity, drives innovation and growth and helps us connect people, businesses, and societies. Free minds and different perspectives are changing our world, and together we can change what’s possible. WE MAKE TRADE FLOW TO CHANGE WHAT'S POSSIBLE FOR EVERYONE.

Responsibilities

The Data Analyst is responsible for engaging stakeholders to define KPIs, designing role-based reports aligned with visualization standards, and building performant star-schema models using DAX and Power Query. This role also involves implementing security (RLS/OLS), managing Power BI service artifacts, ensuring data quality, and driving adoption through documentation and enablement sessions.