Description

You will design and implement databases, data collection systems, and analytics strategies to optimize statistical efficiency. You own the release pipeline for data insights, ensuring scalability and performance across complex systems.

Responsibilities

• Develop and implement data acquisition and integration logic to ensure system scalability and performance.
• Interpret complex datasets to identify, analyze, and interpret trends or patterns.
• Clean and filter data by reviewing reports and performance indicators to correct code problems.
• Create best-practice reports using data mining, analysis, and visualization techniques.
• Work with management to prioritize business needs and define process improvement opportunities.

Required Skills

• 10+ years of experience as a Data Analyst or in a similar role.
• Advanced proficiency with SQL and Oracle databases.
• Extensive experience with reporting packages including Tableau, Power BI, and Business Objects.
• Technical expertise in data models, database design development, and segmentation techniques.
• Hands-on experience with AWS, MongoDB, Cassandra, and Redis.
• Proficiency in programming languages including XML and JavaScript.
• Strong knowledge of ETL processes and data warehousing concepts.
• Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics.

Preferred Skills

• Exposure to Apache Hadoop, Spark, or machine learning libraries like Scikit-learn.
• Experience with Google Cloud (BigQuery) or Azure.

Key Skills

Education

Bachelor’s degree (or equivalent) in mathematics, computer science