Senior Data Analyst

Join a role for dynamic financial institution where your core aim is to unlock business insights from large datasets, empowering decision-makers across trading, investment, and research teams with robust analytics and data-driven projects. You will play a pivotal role in improving operational efficiency, developing scalable reporting frameworks, and enhancing performance tracking through advanced financial modeling and dashboard automation.

• Enhance the data analytics capability of the organization.
• Organise, manage, and democratise access to data across the organization.
• Address challenges like data presentation mismatch, lack of data democratisation, fragmented data landscape, and ad-hoc request bottlenecks.

Position – how you’ll contribute

A strategic role responsible for:

• Data organisation and architecture: Structuring and mapping data across all sources for optimal accessibility
• Data governance: Ensuring data quality, consistency, and documentation
• Stakeholder enablement: Understanding business needs and translating them into data solutions

1. Pre-Programmed Reporting

• Develop and maintain standardised reports for recurring business needs
• Create automated dashboards and visualisations
• Establish reporting schedules and distribution mechanisms

2. Ad-Hoc Data Requests

• Technical capability to respond to bespoke data queries quickly
• Deep knowledge of data structures to identify relevant sources
• Ability to translate business questions into data queries

3. Data Mapping & Integration

• Map relationships between disparate data sources
• Create logical data models that reflect business processes
• Document data lineage and dependencies

4. Self-Service Enablement

• Design and implement a queryable data architecture for users
• Create data dictionaries and documentation
• Over time train “super users” to extract data independently
• Develop governance frameworks for self-service access

As a Data Analyst, you will contribute directly to both daily and strategic objectives by building and maintaining analytical dashboards, designing automated reports, and delivering actionable recommendations. Working cross-functionally, you will support trading, operations, and senior management with tailored analysis and collaborate closely on risk assessment and post-trade analytics initiatives.

• Database technologies: SQL, Snowflake, data warehouse design
• BI platforms: Qlik, Power BI
• Programming: Python (data manipulation, automation)
• ETL processes: Data integration and transformation
• Data modelling: Dimensional modelling, star/snowflake schemas
• Demonstrated hands-on experience with Snowflake for cloud-based data warehousing, management, and analytics.
• Proven expertise using Qlik to develop interactive dashboards and business intelligence solutions for finance or capital markets.
• Solid background in advanced statistical analysis, financial modeling, and deploying data-driven strategies within a regulated financial environment.
• Excellent communication skills for presenting analytical findings to technical and non-technical stakeholders.

• Advanced proficiency in Power BI for end-to-end business intelligence, including design, automation, and support of financial reporting.  
• Ability to work collaboratively in cross-functional teams, leveraging cutting-edge data visualization and analytics tools.
• Willingness to innovate and continuously learn new technologies in a fast-moving capital markets environment.