2 of 2 Data Warehouse Jobs in Belfast

Join a global investment bank's Equities Trading team in Belfast for a 12-month contract as a contract data analyst and play a pivotal role in transforming raw data into strategic business assets! In this job you will work with Q/KDB+, Python, Tableau and advanced SQL in a fast-paced, data … remediation, uncover revenue opportunities, and deliver analytics that shape business strategy. Cutting-edge tech: Work with Q/KDB+, Python, Tableau, and advanced SQL in a fast-paced, data-rich environment. Hybrid flexibility: Enjoy a mix of on-site collaboration and remote work. Competitive day rate: Attractive compensation for top-tier talent. What You'll Do Develop and … maintain Q/KDB+ queries and scripts for data analysis and reporting. Build and support Python-based tools for data manipulation and automation. Design and manage interactive Tableau dashboards for business insights. Write and optimise complex SQL queries (preferably with Impala) against large-scale data warehouses. Collaborate with business stakeholders to deliver effective BI More ❯

Data Analyst/Developer - KDB/Python - sought by bank based in Belfast - Contract - Hybrid *inside ir35 - umbrella* Key Responsibilities Develop and maintain Q/KDB+ queries and scripts for data analysis and reporting. Build and support Python-based tools for data manipulation and analysis. Create and manage Tableau dashboards to deliver insights into … sales and trading activities. Write and optimize complex SQL queries against large-scale data warehouses (preferably Impala). Collaborate with business stakeholders to understand data needs and design effective BI solutions. Work with technology teams to ensure data quality, integrity, and availability. What We're Looking For Financial Domain Knowledge: Deep understanding of equities … data within a sales and trading environment at a broker-dealer, including market, order, and execution data. Data Analysis & Manipulation: Experience working with large datasets using Q/KDB+, especially time-series data. Programming & Scripting: Proficiency in Python and the Pandas library for data analysis, cleansing, and automation. Data Visualization: Demonstrable experience More ❯