Job Duty 1 - 
Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.

Job Duty 2 - 
Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.

Job Duty 3 - 
Perform other job-related duties as assigned.

Job Duty 4 - 
Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.

Job Duty 5 - 
Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.

Job Duty 6 - 
Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.

Job Duty 7 - 
Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.

Job Duty 8 - 
Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.

Job Duty 9 - 
Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately.

Job Duty 10 - 
Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge.