Data Analyst Analytics Trainee2024Batch

• Extract analyze and interpret large datasets to provide actionable insights for business decisionmaking.
• 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 crossfunctional 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 standups 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.

• 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.

• Educational Background:
• Bachelors or Masters degree in Data Science Statistics Computer Science or a related technical field from an accredited institution.
• Any Fresher Graduate can apply.

• Freshers: Demonstrated understanding of data analysis through academic projects internships or relevant coursework.
• Experienced candidates: Proven experience as a Data Analyst in a corporate or MNC environment with a portfolio of successful projects.
• Proficiency in programming languages such as SQL Python or R.

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