AWS Data Analyst Job Opportunity

Company Description

Welcome to The Data Foundry, your ultimate destination for all things data-related. We specialize in delivering comprehensive solutions, services, and training in various data domains, such as data strategy, data governance, data security, data management, data classification, data wrangling, data lakes, data analytics, data visualization, artificial intelligence, machine learning, and IoT. Our mission is to empower customer organizations by transforming their data into meaningful insights.

We leverage AWS technologies, employing best practices and reference architectures to provide robust solutions. Our primary focus is on serving large public sector clients that are data-heavy but insight-light, including federal and state government departments, universities, public sector agencies, public health organizations, and public utilities.

As an AWS Advanced Consulting Partner and AWS Public Sector Partner, we are actively pursuing Data & Analytics and Government competencies. We are a registered technology supplier to the Federal, New South Wales, Victorian, and Western Australian governments and hold a Master Services Agreement with AWS Professional Services.

Job Description

Your Impact

As an AWS Data Analyst, you'll be instrumental in understanding and interpreting our customers' business requirements and mapping them to their data capabilities. You'll collaborate with internal Data Engineers to design and deploy elegant solutions, allowing our clients to derive actionable insights from their data.

We’re looking for individuals with 2-3 years of experience in Data Analyst roles or similar positions, particularly those who have worked with AWS data-related solutions. Your expertise will span across working with business analysts, data visualizers, data engineers, and data scientists to solve complex data-related challenges.

Your role will encourage innovation, evolution, and the challenge of existing assumptions to support the design of solutions addressing real-world problems. Your experience with large-scale data challenges and ability to create scalable cloud-based solutions will help you thrive in this dynamic position.

Expectations

• Refine and develop your data analysis skills to contribute significantly to solution discussions.
• Engage in ongoing education and training to enhance your data analysis capabilities.
• Demonstrate strategic thinking when addressing business, product, and technical challenges.
• Stay up-to-date with technology trends impacting IT consumption by businesses.
• Exhibit strong analytical skills for data collection, analysis, and insight generation.
• Possess a fundamental understanding of IT security, governance, and data classification schema.
• Show passion and enthusiasm in your work, making it fun and engaging.
• Be dynamic, creative, and open to tackling impactful challenges.
• Embrace the opportunity to work in a small, agile, and friendly startup environment.

Preferred Qualifications

We prefer candidates with a Graduate or Masters degree in a data or technology-related discipline. Having an AWS Associate Solutions Architect certification is a plus.

Technical Requirements

• 2+ years of hands-on experience with data-related solutions
• Proficiency in AWS
• Basic understanding of software development tools and methodologies
• Data analysis experience
• Proficiency in producing quality documentation and written communications
• Familiarity with DevOps tools such as Github, GitLab, BitBucket, and Azure DevOps
• Understanding of Infrastructure as Code, especially AWS CloudFormation
• Basic programming skills in languages such as R, Python, Java, Node.js, .Net
• Knowledge of SQL, ER diagrams, and data dictionaries
• Experience with Business Intelligence tools like PowerBI, AWS QuickSight, and Tableau
• Understanding of data ingestion and transformation pipelines (real-time or batch)
• Familiarity with data storage formats such as JSON, AVRO, Parquet, ORC
• Comprehensive understanding of fundamental data concepts including databases, data schema, data classification, data security, data governance, data analysis, data transformation, data engineering, and data science
• Exposure to container technology, particularly Docker
• Basic understanding of networking concepts

Additional Information

At The Data Foundry, we are passionate