Data Analyst
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Role details
Tech stack
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Job description
The Data Analyst is responsible for analyzing, preparing, and presenting data to support executive decision-making, project reporting, and operational performance tracking. This role focuses on developing structured reporting, dashboards, and data solutions while continuously improving data collection, quality, and efficiency. The position collaborates with cross-functional stakeholders to deliver high-quality insights and scalable reporting capabilities. Key Responsibilities
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Analyse, prepare data, and create reports for executive and project-level stakeholders
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Prepare data, KPIs, and metrics for executive reports and presentations
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Create various reports and dashboards for project management and executive reporting
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Design report layouts with clear, high-level summaries, KPIs, and graphical presentations
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Review existing data collection methods and identify continuous improvement opportunities
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Develop and maintain tables, templates, trackers, and structured data models
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Implement automation in data collection and reporting processes
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Ensure data accuracy, consistency, and readiness for reporting
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Identify trends, patterns, and insights from structured and unstructured data
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Support cross-functional teams with reporting and analytical needs
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Develop and enhance business intelligence solutions and dashboards
Requirements
Do you have experience in Data visualization software proficiency?, * Minimum 8-10+ years of experience in data management and analysis
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Strong experience with databases; relational databases preferred
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Strong ability to summarize and interpret data and recognize trends and patterns
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Experience with project reporting and executive-level reporting
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Advanced user of Excel and Office tools
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Experience with PowerQuery, Power BI, and similar reporting tools
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Experience designing reports with strong visualization and presentation capabilities
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Proficiency in SQL; knowledge of M and DAX is a plus
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Programming experience (e.g., VBA or other languages) is a plus
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Experience working with data structures, templates, and tracking tools
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Strong analytical and problem-solving skills
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Strong communication skills and ability to present complex data to non-technical stakeholders
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Experience working with large datasets and multiple data sources
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Ability to work cross-functionally in a dynamic environment
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