Project Overview:
Join us in a transformative initiative aimed at upgrading our client’s legacy data systems to a state-of-the-art, AWS-based Snowflake platform. This critical overhaul is designed to enhance data reliability, integrate sales data, and support dynamic business decision-making. The project tackles the complexities of diverse and customized legacy systems, making data consolidation and analysis crucial for our success.
Role Summary:
We are seeking a Data Analyst to play a pivotal role in the transition to the Snowflake platform. You will be instrumental in mapping, analyzing, and ensuring the quality and consistency of data migration from various legacy systems. This position demands a keen analytical mind, proficiency in SQL and Python, and a deep understanding of data warehousing principles.
Key Responsibilities:
• Conduct detailed data analysis to support the mapping of data from legacy platforms to a new Snowflake-based model.
• Collaborate with the Data Architect to define and validate data mapping rules for seamless integration.
• Develop and execute SQL queries for data ETL processes, maintaining integrity and alignment with project objectives.
• Use Python for data preprocessing, cleansing, and automation tasks.
• Participate in testing and validation of data pipelines, identifying discrepancies to ensure data accuracy.
• Work with the US-based team to understand existing data solutions and contribute to the migration strategy.
• Engage in continuous improvement of data models and ETL processes based on stakeholder feedback.
• Document business rules, data logic, and present findings to both technical and non-technical audiences.
• Own data testing and reconciliation efforts, conducting quality assessments and implementing enhancement strategies.
Essential Skills and Qualifications:
• Experience with SQL and Snowflake data warehousing.
• Proficiency in Python, with experience in R preferred.
• Strong foundation in data warehousing principles, ETL processes, and data modeling.
• Capable of performing data quality assurance and validation.
• Exceptional analytical skills, able to transform complex data sets into actionable business strategies.
• Excellent communication skills for articulating complex concepts to diverse stakeholders.
• Ability to work effectively in both team settings and independently.
Desirable Skills:
• Experience with data bricks or similar platforms.
• Familiarity with AWS services and DBT.
• Knowledge of data visualization tools and techniques.
• Understanding of the entertainment or ticketing industry is a plus.
Personal Attributes:
• A proactive self-starter eager to tackle challenges and achieve ambitious goals.
• Curiosity and analytical mindset with a passion for solving complex data problems.
• Adaptable, thriving in a rapidly evolving project environment.
• A collaborative team player committed to knowledge sharing and collective success.
• Upholds strong ethical standards and integrity.
What We Offer:
• A role in an innovative, impactful data-driven project.
• A dynamic, supportive team environment fostering professional growth.
• Continuous learning and development opportunities.
Application Process:
• Submit your resume and a cover letter detailing your relevant experience in data analysis, warehousing, and ETL processes.
• Include examples of past projects where you’ve contributed to data mapping and analysis.
• Qualified candidates will be invited for an initial screening and subsequent technical interviews.
We are excited to see how you can contribute to our team and help us reach our ambitious goals.
Join us in transforming data handling and making a significant business impact.
