Job Description

• Interpret business needs and requirements for key metrics, design and build intuitive dashboards and reports.
• Build and maintain robust data pipelines for a scalable, high-performance business intelligence environment, to be used by a large number of business users.
• Ensure data quality and integrity, using known data sources for validation.
• Identify new BI capabilities such as conversational business intelligence to enable self-service and reduce dependence on custom-built dashboards.
• Interact independently with business partners on data needs and respond to data requests.
• Drive a strong data-driven culture within the company by mentoring data analysts and increasing data capabilities in other internal functions.

• Hands-on experience in data visualization and developing intuitive dashboards, using tools such as Tableau, PowerBI, Qlik.
• Experience in data extraction and data manipulation in cloud data environments (preferably Snowflake), using languages such as SQL, Python, Hive.
• High attention-to-detail with excellent problem-solving capabilities, and proven ability to make data-drive recommendations and drive continuous improvement.
• Collaborative approach and ability to partner effectively with business, data and technology teams.
• Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute on multiple objectives.
• Knowledge and experience in the banking industry and banking systems.
• Advanced knowledge of data structures, ability to manipulate data and to visualize data effectively to communicate to a business audience.

• Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences.
• Minimum of 3 years working in a data analytics role with hands-on experience in wrangling large data sets, building dashboards and visualizing key metrics.
• Experience working independently with business partners and diverse corporate functions.
• Demonstrated ability to work on complex BI implementation projects.

• Master's degree in a quantitative discipline.
• Financial Services experience and knowledge of Retail/Commercial Banking industry, products, and data highly desired.