Sr.Data Analyst

• Collect, clean, and analyze large, complex datasets to derive actionable insights.
• Design and build dashboards, reports, and visualizations to track KPIs and business performance.
• Apply statistical methods, hypothesis testing, and advanced analytics to support decision-making.
• Translate business problems into analytical frameworks and provide data-driven recommendations.
• Conduct root cause analysis to identify patterns, trends, and anomalies.
• Ensure accuracy, integrity, and completeness of data used for analysis.
• Collaborate with product, engineering, and business teams to define data requirements and metrics.

• Communicate effectively with clients and internal teams.
• Proactively analyze project risks and implement mitigation strategies.
• Continuously review problems to determine root causes and prevent future issues.
• Actively ensure the implementation of organizational culture, processes, and standards.

• Expertise in:
• Databases: SQL is mandatory and rest would be an added advantage MongoDB, PostgreSQL, Redis, Relational databases
• Programming Language: Python is mandatory rest will be an added advantage
• JavaScript, Golang
• Cloud-based Infrastructure: AWS

• Deliver high-quality analyses that inform strategy and improve outcomes.
• Ensure data solutions are scalable, reliable, and accurate.
• Passion for solving business problems through data and delivering measurable impact.
• Proactive attitude with strong ownership, curiosity, and problem-solving mindset.
• Ability to work collaboratively with cross-functional teams, senior management, and clients.

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