Data Analytics Specialist — UBS
NewCHF 49'500 - 75'000
UBS · Ticino (TI)
- Location
- Ticino
- Contract
- full-time
- Posted
- 2 days ago
SalaryCHF 49'500 - 75'000
Role overview
Role
- Role:
- This role will continue to drive key responsibilities within the STAAT Analytics team.
- The candidate will lead the development of scalable, insight-driven dashboards and advanced analytical solutions that empower strategic decision-making for financial advisory and market leadership.
Main responsibilities
- This role will continue to drive key responsibilities within the STAAT Analytics team.
- The candidate will lead the development of scalable, insight-driven dashboards and advanced analytical solutions that empower strategic decision-making for financial advisory and market leadership.
- The role requires a strong ability to translate complex data into actionable insights, ensuring stakeholders have the tools and intelligence needed to optimize performance and identify growth opportunities.
Application process
- a structured, analytical approach to address complex business challenges leveraging Python and SQL.
- Conduct comprehensive exploratory data analysis and develop predictive models to drive key strategic initiatives.
- Translate business requirements into actionable technical specifications and innovative data-driven solutions.
- Design, develop, and maintain interactive Power BI dashboards for real-time KPI tracking across financial advisory and market segments.
- Implement advanced dashboard features such as dynamic filtering, intuitive search functionality, and peer comparison tools to optimize user engagement.
- Integrate data from diverse sources, including ADW, BODI, and internal data marts, ensuring accuracy and consistency across analytics outputs.
- Automate data pipelines and reporting workflows using Python and Power BI, enhancing efficiency and reliability.
- Collaborate with cross-functional teams to ensure analytics deliverables are aligned with overarching business objectives.
Additional details
- Apply a structured, analytical approach to address complex business challenges leveraging Python and SQL.
Notes and original content
- Responsibilities :
