Key Responsibilities
- Translate business requirements into functional and technical specifications for execution and ongoing optimization while creating functional output for business analyses.
- Lead and Define data models, schemas, data quality rules and various collection sources in collaboration with engineering teams and development cycles.
- Identify opportunities to automate manual or, if required, semi-manual operational workflows.
- Create dashboards and reports to highlight relevant data points for internal sales and marketing teams whilst assisting stakeholders in building data driven presentations for both internal and external review.
- Build and analyse bespoke data sets alongside the product development team and take part in project related analyses with the business development and strategy functions.
- Create procedures for daily maintenance with the view on ongoing development pipelines in conjunction with technology teams. Act as a bridge between business users and technology teams.
- Champion the teams goals, educate and empower business teams with relevant and current data trends to create a collaborative and entrepreneurial environment
Required Skills & Experience
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Finance, or a related discipline
- 1–3 years experience in a technical business analyst, data analyst, or similar role (or exceptional graduate experience)
- Understanding of financial and commodity markets with emphasis on price correlation fundamentals.
- Understanding of Derivatives products fundamentals including market data, trade lifecycle, margining, and risk management.
- Strong SQL skills and experience working with relational and analytical databases
- Solid understanding of data pipelines, ETL/ELT processes, and automation concepts
- Ability to read and understand technical documentation, APIs, and system designs
- Strong analytical, problem-solving, and communication skills
