key responsibilities:
1. perform data analysis: analyze large datasets to identify trends, patterns, and insights to support decision-making processes within the organization.
2. data cleansing and validation: ensure data accuracy and consistency by cleaning and validating datasets before analysis.
3. generate reports: prepare and present reports with meaningful data visualizations to communicate findings to stakeholders.
4. develop data models: create data models and algorithms to improve data quality and enhance data-driven decision-making.
5. collaborate with teams: work closely with cross-functional teams to gather requirements, understand business needs, and provide analytics support.
6. stay updated on industry trends: continuously monitor and learn about new trends and developments in data analytics to enhance skills and knowledge.
7. provide recommendations: offer insights and recommendations based on data analysis to support business growth and efficiency.
required skills and expectations:
1. proficiency in data analysis tools such as sql, python, r, and excel.
2. strong understanding of data management principles and best practices.
3. ability to interpret data and communicate insights effectively to non-technical stakeholders.
4. experience in data visualization tools like tableau or power bi.
5. strong problem-solving skills and attention to detail.
6. bachelor's degree in a related field such as statistics, mathematics, computer science, or economics.
7. excellent communication and teamwork skills.