Data Analyst - 2 (Senior Data Analyst)

Games24x7

Responsibilities:
• Requirement gathering with stakeholders to understand their requirements and managing them along with the prioritization of various requirements coming in together.
• Working knowledge of A/B experimentation and conclusion of experiments with supportive statistical techniques.
• To convert actionable insights into well-defined projects.
• To understand underlying player behavior.
• To work with the Product, Marketing, and Technology teams to execute projects and measure their success.
• Develop and maintain comprehensive dashboards and reports to facilitate decision-making at various levels within the organization.
• Debugging, monitoring, and troubleshooting various solutions and brainstorming sessions on solving various problems.
• Implement data quality standards to ensure accuracy, reliability, and reusability of data and solutions developed.
• Participate actively in reusable design solutions and cost optimizations.
• Ensure the right stakeholders get the right information at the right time.
• Creating and deploying reports with the highest quality.
• Design and plan BI solutions to automate regular reporting and reduce manual intervention.
• Write code (queries/procedures/scripts) in SQL / Hive / Drill / PySpark / Python / R that is both functional and elegant, following appropriate design patterns

Requirements:
• BE/B. Tech in Computer Science/IT from Top Colleges.
• 4+ years of experience in Analytics and SQL.
• Good understanding of statistics, probability, and segmentation techniques.
• Exceptional logical and analytical skills.
• Excellent technical as well as communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
• Attention to even the smallest detail is mandatory.
• Proficiency in data analysis tools and programming languages such as Python, R, SQL, etc.
• Experience with data visualization tools (e. g., Tableau, Power BI).
• Knowledge of data warehousing concepts and experience working with large datasets.
• Deploying analytical solutions in Python.
• Basic knowledge of digital marketing and products is preferable.
• Hands-on with Predictive analytics.
• User Personalisation solutions models.