About the project

• CTO Data GDT Wholesale, MSS & ESG is creating a world class “data-driven" organization that leads our competitors and inspires our employees. We are building a revolutionary data analytics ecosystem to generate business insights and provide great customer experience from well-managed and trusted data assets.
• Our global team is partnering with IT to deliver an ecosystem of curated, enriched and protected sets of data - created from global, raw, structured and unstructured sources. Our Wholesale Big Data Lake is the largest aggregation of data ever within HSBC. We have over 1000 sources and a rapidly growing book of work. We are utilising the latest technologies to solve business problems and deliver value and truly unique insights.
• Developing the most appropriate and secure Technology solutions using iterative software development/programming in line with the solution design, to meet customer needs, ensuring continuous improvement.

Your responsibilities

• Define and obtain source data required to successfully deliver insights and use cases.
• Determine the data mapping required to join multiple data sets together across multiple sources.
• Analyse structured and unstructured data to identify key business trends.
• Design and develop data models to support analytics initiatives.
• Create interactive dashboards and reports for stakeholders.
• Collaborate with data engineers and business teams to define requirements.
• Ensure data quality, integrity, and governance standards are met.
• Identify opportunities for process optimisation through data analysis.
• Support machine learning and predictive analytics projects.
• Document the data design and solutions to the high end for future reference. Support data-related tasks such as data mapping, data lineage, data governance, data quality, and metadata management

Our requirements

• Minimum 5 years of experience in data analytics, business intelligence, or related areas.
• Strong grasp and understanding of fundamental data modelling concepts such as entity-relationship modelling, data flow diagrams, and the ability to create conceptual data models from business requirements.
• Strong SQL skills for data querying and transformation.
• Ability to interpret complex datasets and generate business insights.
• Familiarity with Python or R for data analysis.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to present findings effectively.

Optional

• Knowledge of financial services or risk analytics (preferred).

Technologies we use

What we offer

• Competitive salary

• Annual performance-based bonus

• Additional bonuses for recognition awards

• Multisport card

• Private medical care

• Life insurance

• One-time reimbursement of home office set-up (up to 800 PLN)

• Corporate parties & events

• CSR initiatives

• Nursery discounts

• Financial support with trainings and education

• Social fund

• Flexible working hours

• Free parking