SSE- Data Analyst || F2F Interview - 15th Nov (Saturday)

Designation:

About CLOUDKEEPER:

CloudKeeper is a cloud cost optimization partner that combines the power of group buying & commitments management, expert cloud consulting & support, and an enhanced visibility & analytics platform to reduce cloud cost & help businesses maximize the value from AWS, Microsoft Azure, & Google Cloud.

A certified AWS Premier Partner, Azure Technology Consulting Partner, Google,Cloud Partner, and FinOps Foundation Premier Member, CloudKeeper has helped 400+ global companies save an average of 20% on their cloud bills, modernize their cloud set-up and maximize value all while maintaining flexibility and avoiding any long-term commitments or cost.

CloudKeeper hived off from TO THE NEW, digital technology services company with 2500+ employees and an 8-time GPTW winner.

Key Responsibilities:

• Utilize Python (specifically Pandas) to clean, transform, and analyze data, automate repetitive tasks, and create custom reports and visualizations.
• Analyze and interpret complex datasets, deriving actionable insights to support business decisions.
• Write and optimize advanced SQL queries for data extraction, manipulation, and analysis from various sources, including relational databases and cloud-based data storage.
• Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions.
• Create and maintain dashboards and reports that visualize key metrics and performance indicators.
• Identify trends, patterns, and anomalies in data to support business intelligence efforts and provide strategic recommendations.
• Ensure data integrity and accuracy by developing and implementing data validation techniques.
• Support data migration, transformation, and ETL processes within cloud environments.

Required Qualifications:

• 3 - 5 years of experience as a Data Analyst or equivalent role.
• Good experience in Python, with hands-on experience using Pandas for data analysis and manipulation.
• Expertise in analytical SQL, including writing complex queries for data extraction, aggregation, and transformation.
• Knowledge of cloud platforms, particularly AWS (Amazon Web Services).
• Strong analytical thinking, problem-solving, and troubleshooting abilities.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Quicksight , Superset etc.) is a plus.
• Excellent communication skills, with the ability to explain complex data insights in a clear and actionable manner.
• Detail-oriented with a focus on data quality and accuracy.

Preferred Qualifications:

• Experience working in a cloud-based data analytics environment.
• Familiarity with additional cloud services and tools (e.g. Snowflake , Athena).
• Experience working in an Agile environment or with data-oriented teams.