Senior Data Analyst

This candidate will be part of a high-performing, fast-paced team that ensures the accuracy, reliability, and performance of our data infrastructure. In this role, you will be responsible for data validation, testing automation, and optimising AWS-based data processes to support analytics, reporting, and customer insights.

The Data Testing and AWS Specialist is responsible for implementing robust data quality frameworks and monitoring cloud-based data processes that will help maintain the integrity of our data ecosystem. The ideal candidate will have strong technical skills in data validation, expertise in AWS-based data infrastructure, and a deep understanding of data governance best practices. This individual will play a crucial role in ensuring that accurate, well-structured data is available for decision-making, supporting business intelligence and customer engagement analysis.

Responsibilities:

• Develop and execute test cases for data validation and quality assurance.
• Identify, troubleshoot and resolve data inconsistencies and anomalies.
• Implement automated data testing frameworks to streamline validation processes.
• Maintain documentation of test cases, testing frameworks and data validation processes.
• Collaborate with IT, Product and Analytics teams to align data quality initiatives.
• Develop, monitor and maintain data processes in AWS environments.
• Assist in automating data workflows and troubleshooting cloud-based data issues.

Requirements:

• Bachelor's degree in computer science, data science, engineering, mathematics, or statistics.
• 4-7 years Expert in SQL and strong experience in Python.
• Hands-on experience with AWS Services (S3 Glue, Lambda, Redshift, etc. )
• Familiarity with data testing tools and automation frameworks.
• High attention to detail, solution-oriented and capable of meeting or exceeding deadlines in a fast-paced environment.
• Embraces diverse people, thinking, and styles.
• Consistently makes the safety and security of self and others the priority.

Behavioural Competencies:

• Ability to produce high-quality results and work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.
• Adapt communication clearly and concisely based on team dynamics and express thoughts and ideas effectively.
• Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
• Ability to understand business processes, implement innovative solutions, and guide juniors on continuous improvement by constantly updating oneself on current technology and trends.
• Inquisitive to understand customer and business expectations while creating value addition on technical solutions.

Good to Have:

• Exposure to CI/CD pipelines for data validation and deployment.
• Familiarity with data governance and compliance best practices.
• Self-motivated and take pride in building great products for key stakeholders.
• Resourceful in finding the data and tools you need to get the job done.
• Not afraid to ask for help when you need it or help teammates when they need a boost.