Data Analyst

Collect, organize, and interpret raw data to provide actionable insights for business decision-making.
Work with data visualization tools to present findings in an understandable format for stakeholders.
Collaborate with cross-functional teams to identify data requirements and ensure accuracy.
Extract data from primary and secondary sources.
Perform data cleaning to ensure quality and accuracy.
Conduct basic statistical analyses.
Create reports summarizing data findings.
Assist senior analysts in preparing presentations and dashboards.
Handle ad-hoc data requests.
Use tools like Microsoft Excel, SQL, and Tableau for data analysis.
Stay updated with new technologies and methodologies in data analytics.
Present insights and recommendations to senior management.
Act as a point of contact for data-related queries.
Use tools like Python, R, Power BI, and databases (SQL, NoSQL).
Automate workflows to improve efficiency.
Lead small to medium-sized analytics projects.
Mentor junior analysts and guide them in technical aspects.
Analyze processes to identify bottlenecks and suggest improvements.
Strong analytical thinking and problem-solving abilities.
Excellent communication and presentation skills.
Team collaboration and adaptability in dynamic environments.