An internship on the Data Analytics team supporting data-driven business decisions: building interactive dashboards and automated reports in AWS QuickSight, running exploratory analysis on AWS-hosted datasets, defining KPIs with data engineers, and upholding data governance. Core stack: AWS, QuickSight, SQL.
The Business Data Analyst Intern will support data-driven decision-making by assisting in the collection, processing, and analysis of business data. Working under the Data Analytics team, the intern will help identify use cases, create reports and dashboards, and collaborate with cross-functional teams to transform data using AWS and other analytics tools.
Responsibilities
Data Visualization & Stakeholder Engagement
Collaborate with cross-functional teams to understand business requirements and translate data into actionable insights.
Design and build interactive dashboards and reports using AWS QuickSight, leveraging AWS-hosted datasets.
Present data insights and recommendations to stakeholders clearly and effectively.
Maintain dashboards, reports and visualization to communicate findings.
Data Analysis & Reporting Automation
Develop and maintain automated reporting processes to support self- service analytics.
Conduct exploratory data analysis to identify patterns and trends in AWS-hosted datasets.
Work with data engineers and stakeholders to define KPIs and establish data models.
Monitor data quality, integrity and report/dashboard adoption.
Partner with the QuickSight Center of Excellent (COE) to uphold data governance standards.
Document development work, including business requirements, design notes and process flows.
Stay current with industry trends, AWS technologies and data analytics best practices.
Participate in feedback and presentation sessions to showcase growth and contributions.
Requirements
Current Juniors or Seniors pursuing a Bachelor’s degree in IT, data analytics or a related program
Exposure and interest in data analysis or a similar analytical role, with some basic knowledge of concepts in this area of IT.
General knowledge and entry-level proficiency in SQL, AWS or other data analysis technologies and concepts.
Exposure and interest in AWS QuickSight or similar data visualization platform in design, development and implementation.
Strong analytical and problem-solving skills to enable the translation of complex data into actionable insights.
Familiarity with data visualization tools and frameworks
Strong communication and collaboration skills with the ability to interact effectively with cross-functional teams.