Data Analyst

The Data Analyst is pivotal in unlocking the potential of data, steering business decisions, and fostering our organization’s growth. The Data Analyst, possessing expertise in supporting business users through self-service analytics using AWS QuickSight, empowers users to independently explore and analyze data, thereby facilitating data-driven decision-making across the organization., Self-Service Analytics Enablement: Collaborate closely with business users, understanding their data analysis needs and providing guidance on leveraging AWS QuickSight for self-service analytics.

• Data Visualization: Craft visually engaging and user-friendly dashboards and reports in AWS QuickSight, enabling business users to effortlessly glean insights from data.
• User Training: Develop and execute training programs and workshops to educate business users on AWS QuickSight features, best practices, and self-service analytics techniques. Provide comprehensive training to end-users and stakeholders on AWS QuickSight functionality, offering ongoing support and guidance.
• Data Exploration Support: Assist business users in exploring data, constructing ad-hoc queries, and generating custom reports to address specific questions or tackle business challenges.
• Data Governance: Collaborate with the data governance team to ensure that self-service analytics align with data security and privacy policies. Work closely with cross-functional teams, including business analysts, IT professionals, and other stakeholders, to understand data requirements and deliver actionable insights.
• Performance Optimization: Continuously monitor and optimize AWS QuickSight resources, ensuring smooth user experiences.

Education: Bachelor’s degree in Data Science, Computer Science, or a related field.

• Experience: Proven track record as a Data Analyst specializing in self-service analytics using AWS QuickSight.
• Skills:
• Strong data visualization skills, creating compelling and easy-to-understand dashboards.
• Proficiency in SQL is a must.
• Excellent communication and training abilities.
• Strong problem-solving and analytical abilities.
• In-depth knowledge of data governance and data security best practices.

Proficiency in data exploration and querying