Key Responsibilities:

Analyze and manipulate large datasets using various tools and techniques
Develop and maintain data transformation processes to ensure accuracy and efficiency
Identify patterns and trends in data to provide insights and recommendations to stakeholders
Collaborate with cross-functional teams to understand business needs and requirements
Develop and maintain data quality standards and procedures
Create and maintain documentation for data transformation processes
Identify and troubleshoot data-related issues and provide timely solutions
Stay updated with industry trends and best practices in data transformation and analysis
Train and mentor junior team members on data transformation processes and tools

Qualifications:

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
Minimum of 3 years of experience in data analysis and transformation
Proficient in SQL and experience with data visualization tools such as Tableau
Strong analytical and problem-solving skills
Excellent attention to detail and ability to work with large datasets
Experience with programming languages such as Python or R is a plus
Knowledge of data warehousing concepts and ETL processes
Strong communication and collaboration skills
Ability to work under pressure and meet tight deadlines
Self-motivated and able to work independently

Apply now!.

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