Data Analyst Dulsco Group

الوصف الوظيفي

الأدوار والمسؤوليات

الملف الشخصي المطلوب للمرشحين

• Conduct exploratory and deep-dive analyses to uncover trends, anomalies, operational inefficiencies, and commercial opportunities.

• Translate business questions into structured analytical approaches, delivering insights that influence decisions and outcomes.

• Produce accurate, well-documented outputs for ad hoc requests, ensuring clarity, traceability, and timely delivery.

Dashboards & Reporting (Power BI)

• Design and develop intuitive, high-performance Power BI dashboards that communicate insights clearly and effectively.

• Establish reusable reporting assets (semantic models, DAX measures, templates, definitions) to drive consistency and reduce duplication.

• Promote self-service analytics by ensuring dashboards are well-labelled, documented, and easy for business users to navigate.

Data structures & automation

• Build and maintain automated data pipelines and curated datasets that support scalable, repeatable analysis and reporting.

• Clean, validate, and reconcile data from multiple sources to ensure accuracy, consistency, and trust in business outputs.

• Optimise SQL queries, data models, and transformation logic for performance, reliability, and maintainability.
  

Stakeholder engagement

• Collaborate with business stakeholders to clarify requirements, validate assumptions, and prioritise work based on business value.

• Present insights in a clear, structured manner to both technical and non-technical audiences, translating analysis into actionable recommendations.

• Act as a trusted partner to business teams, helping them understand data, interpret trends, and make informed decisions.
  
  Technical Expertise

  • 4+ years of experience in data analytics, business intelligence, or data engineering.

  • Advanced SQL skills, including complex querying, data modelling, and performance optimisation.

  • Strong Power BI expertise: data modelling, DAX, dashboard design, performance tuning, and usability best practices.

  • Proficiency in Python for data manipulation, automation, and analytical workflows (e.g., pandas).

  • Experience with Snowflake or similar cloud data platforms is preferred.
    
    Key Skills & Competencies

    • Curious, analytical, and detail-oriented; driven to understand the “why” behind the data.

    • Proactive and accountable, with strong ownership of deliverables from requirement to deployment.

    • Practical and outcome-focused, balancing speed with quality and knowing when a solution is fit for purpose.

    • Clear communicator and confident storyteller, able to simplify complex concepts and influence decision-making.