Data Analysis
- Extract, analyze, and interpret large datasets to provide actionable insights for business decision-making.
- Utilize statistical techniques and data mining tools to identify trends, patterns, and anomalies.
- Data Visualization:
- Develop and maintain dashboards and reports using tools like Tableau, Power BI, or similar platforms.
- Present complex data in a clear and concise manner to stakeholders across various departments.
- Data Quality Assurance:
- Implement data validation processes to ensure accuracy, consistency, and reliability of data.
- Conduct regular data audits and address data quality issues promptly.
- Collaboration:
- Work closely with cross-functional teams, including IT, marketing, finance, and product management, to understand their data needs.
- Participate in global project meetings and contribute to strategic planning.
- Documentation:
- Create and maintain detailed documentation of data processes, methodologies, and analysis results.
- Ensure documentation is aligned with corporate standards and accessible to global teams.
- Continuous Improvement:
- Stay updated on emerging data technologies, tools, and industry trends.
- Proactively seek opportunities to enhance data processes, performance, and scalability.
- Agile Practices:
- Participate actively in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives.
- Adapt to changing priorities and effectively manage time to meet project deadlines.
- Problem Solving:
- Analyze complex data issues and develop innovative solutions to address business needs.
- Utilize advanced analytics and data modeling techniques to enhance data reliability.
- Compliance and Security:
- Implement and enforce data security best practices in all aspects of data analysis.
- Ensure compliance with global data privacy standards and regulations, including GDPR, HIPAA, and others.
Mentorship
- For experienced candidates: Provide mentorship and guidance to junior analysts, promoting their professional growth.
- For freshers: Engage in continuous learning and seek mentorship from senior team members to develop expertise.
Preferred Candidate Profile
- Educational Background:
- Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related technical field from an accredited institution.
- Any fresher Graduate or UG can apply.
Skills: data,documentation,agile,analytics,data analysis,data quality,project,reliability,security,teams,python,sql,power bi
