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.
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.
requirements-expected :
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.
offered :
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
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
