Key Responsibilities
Data Collection & Preparation:Gather data from diverse sources (e.g., CODA, OMNI, GPM) and clean datasets to remove duplicates, errors, and outliers.
Automate repetitive tasks.
Analysis & Interpretation:Perform exploratory data analysis to identify patterns, correlations, and trends.
Develop predictive models and dashboards to forecast outcomes.
Reporting & Visualization: Create interactive reports and visualizations (Tableau, Power BI) to communicate findings to stakeholders.
Collaboration: Partner with teams to align data strategies with business goals.
Qualifications
Technical Skills:Proficiency in SQL, Python/R, and data visualization tools (Power BI).
Experience with statistical analysis, machine learning basics, and database management.
Soft Skills:Strong communication skills.
Problem-solving mindset and attention to detail.
Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or related fields.