Senior Developer

Job Purpose

At Intercontinental Exchange (ICE), we engineer technology, exchanges and clearing houses that connect companies around the world to global capital and derivative markets. With a leading-edge approach to developing technology platforms, we have built market infrastructure in all major trading centers, offering customers the ability to manage risk and make informed decisions globally. By leveraging our core strengths in technology, we continue to identify new ways to serve our customers and transform global markets.

We are seeking a highly skilled and experienced Business Intelligence Developer to join our Data Warehouse and Analytics team. As a Senior Business Intelligence Developer, you will play a pivotal role in the technology team responsible for data analysis, data mining, report development, automation, and customer requirement gathering. You will be instrumental in ensuring the delivery of state-of-the-art business intelligence solutions that provide valuable business insights and support data-driven decision-making.

Responsibilities

• Process and analyze large volumes of data from various outputs, using your findings to support the business in understanding information.
• Understand the context for the data well enough to clean and transform it into a form useful for subsequent analysis.
• Storyboard, create, and publish standard reports, data visualizations, analyses, and presentations.
• Extensive experience in Data preparation focusing on accelerating and automating the process to support business analytics
• Support stakeholders and business users in defining data and analytic requirements.
• Foster a collaborative and innovative team environment, encouraging the sharing of ideas and best practices.

Knowledge and Experience

• Bachelor's/Master’s degree in data science, statistics, engineering, math, quantitative analytics, or a related quantitative discipline.
• 8+ years of overall experience in developing and implementing Business Intelligence solutions, with a proven track record of delivering high-quality, data-driven insights and reports.
• 5+ years of experience supporting the development of analytics solutions leveraging tools like Tableau Desktop, Tableau Online or Sigma Computing
• 5+ years of experience working with SQL, developing complex SQL queries, and leveraging SQL in Tableau.
• Proficiency in Python with expertise in Python libraries related to Data Analysis.
• Knowledge of data science techniques.
• Deep understanding of Data Governance and Data Modeling.