Data Analyst
Role details
Job location
Tech stack
Job description
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Advanced Data Management Lead the extraction, transformation, and validation of large and complex financial datasets, ensuring accuracy, data integrity.
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Strategic Business Partnership Collaborate with including Finance, Performance Management, and Leadership teams, to identify business trends, evaluate performance drivers, and influence strategic decision-making.
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Analytical Model Development Design, enhance, and maintain sophisticated data models and analytical frameworks that support enterprise reporting.
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Insight Leadership & Visualization Develop high-impact dashboards, reports, and visual analytics in Power BI that deliver clear narratives and actionable insights for executive-level audiences.
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Process Optimization & Automation Implement advanced automation solutions (VBA, Power Query, scripting, or other tools) to streamline data workflows, reduce manual effort, and improve operational efficiency across analytical processes.
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Quality Assurance & Best Practices Champion best practices in data cleaning, validation, and analytical methodology while mentoring junior analysts in technical skills and analytical thinking.
Requirements
- Bachelor's degree, or a related field: Data Science, Statistics, Business Analytics
- Proven experience as a Senior Data Analyst or similar analytical role, ideally within financial services or corporate finance environments.
- Understanding financial operations, performance analysis, forecasting methodologies, and enterprise reporting frameworks.
- Advanced proficiency in Microsoft Excel and Power BI, including DAX, data modeling, and dashboard development.
- Strong command of automation tools such as VBA, Power Query, scripting languages, or other workflow optimization tools.
- Demonstrated ability to manage, transform, and validate large and complex datasets with high accuracy.
- Experience in mentoring or guiding junior analysts on analytical best practices and technical competencies.
- Excellent communication skills for presenting insights to management and non-technical stakeholders.
- Required Languages: English must be able to communicate both written and spoken.
