Workforce Data Analyst
Send a job offer directly to this candidate
Data Governance: Ensure data quality and compliance with data privacy regulations.
Data Cleaning: Clean, preprocess, and validate data to ensure accuracy and reliability.
Predictive Modeling: Build and maintain predictive models to forecast trends or outcomes.
Statistical Analysis: Apply statistical techniques to draw meaningful insights from the data.
Hypothesis Testing: Conduct hypothesis tests to validate assumptions and make data-driven decisions.
Reporting: Generate regular reports and dashboards to track key performance indicators (KPIs) and provide actionable recommendations.
Data Analysis: Perform exploratory data analysis (EDA) to uncover trends, patterns, and outliers in the data
Data Interpretation: Translate complex data into understandable insights and actionable recommendations for non-technical stakeholders.
Data Collection: Gather data from various sources, including databases, spreadsheets, and external APIs.
Data Visualization: Create informative charts, graphs, and reports to present findings to stakeholders.
Data Automation: Using tools such as Excel, SSMS, VBA, and Power Query to generate automative reporting.
Collaboration: Work closely with cross-functional teams to understand their data needs and provide analytical support.
I bring 8 years of dedicated experience as a workforce data analyst, with a strong proficiency in essential tools like Excel, SSMS, Verint, and EWFM. My expertise in data analytics and project management allows me to drive data-driven insights and operational efficiency. I'm ready to contribute my skills to your team and help achieve your organization's goals.
I was Home Schooled in Eustis Florida
