Data Analyst/Developer - KDB/Python

Harvey Nash Group; Belfast; Hybrid; GBP 40,000 - 60,000; Part time

Job summary

A financial services company based in Belfast is seeking a Data Analyst/Developer skilled in KDB and Python. This hybrid contract role involves developing data analysis tools, optimizing SQL queries, and creating Tableau dashboards. Candidates must possess strong financial domain knowledge and extensive experience with large datasets. Please apply for additional details.

Qualifications

• Deep understanding of equities data within a sales and trading environment.
• Experience working with large datasets using Q/KDB+, particularly time-series data.
• Proficiency in Python and the Pandas library for data analysis and automation.

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.

Skills

Financial Domain Knowledge

Data Analysis & Manipulation

Programming & Scripting

Data Visualization

Database & SQL Expertise

Business Intelligence (BI) Modelling

Tools

Q/KDB+

Python

Tableau

SQL/Impala

Job description

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 designing interactive dashboards in Tableau.
• Database & SQL Expertise: Advanced skills in writing complex SQL queries; experience with Impala is highly desirable.
• Business Intelligence (BI) Modelling: Solid understanding of BI principles and experience developing and maintaining BI data models.

Please apply within for further details - Matt Holmes