Senior Business Analyst focusing on growth and digital channels in Brazil's fintech at Stone. Driving strategic initiatives and leveraging data analysis for business impact.
AT
Hybrid Business Analyst – Business Intelligence, Data Collection & Automation
Posted 2 months ago
About the role
- Business Analyst focusing on data collection and process automation within a commercial data hub. Working collaboratively with sales, product, and technology teams in Singapore.
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.
Requirements
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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