MS Excel Mid Level Data Analyst
Role details
Job location
Tech stack
Job description
Description We are looking for a detail-oriented Data Analyst with expertise in Microsoft Excel to join our team in Tampa, Florida. In this role, you will work with raw data, transforming it into meaningful insights and actionable reports to support organizational initiatives. The ideal candidate thrives in analyzing complex datasets and has a strong understanding of data integrity, visualization, and reporting standards.
Responsibilities:
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Organize, analyze, and interpret raw data using advanced Excel functionalities, including formulas, macros, and pivot tables.
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Consolidate and integrate data from multiple sources to build cohesive reports and dashboards.
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Create and deliver detailed presentations and reports tailored to various stakeholders, including executives and board members.
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Ensure data accuracy and consistency through regular audits and quality checks.
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Collaborate with team members to enhance data collection processes and implement best practices.
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Develop and maintain centralized data repositories for streamlined reporting.
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Identify trends and patterns in data to provide actionable insights for organizational improvement.
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Train staff on data management tools and techniques to promote consistent and efficient data handling.
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Monitor performance indicators to detect discrepancies and recommend corrective actions.
Requirements
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Implement protocols to guarantee data security and compliance with organizational standards. Requirements * Advanced proficiency in Microsoft Excel, including macros, VBA scripting, pivot tables, and statistical formulas.
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Solid experience in data visualization tools, such as BusinessObjects or similar platforms.
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Strong analytical skills with the ability to interpret complex data and present clear insights.
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Familiarity with data warehousing concepts and practices for consolidated reporting.
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Proven ability to conduct data audits and ensure compliance with established standards.
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Effective communication skills for training, collaboration, and stakeholder engagement.
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Knowledge of statistical and quantitative data analysis techniques.
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Experience working with large datasets and ensuring data integrity. Technology Doesn't Change the World, People Do.®