Data Solutions Architect

2 months ago

Guangzhou, Guangdong, China HSBC Full time

Unlock Business Potential with Data-Driven Insights

HSBC is seeking an experienced professional to join our team as a Data Solutions Architect - Business Consulting - DATA SBO. In this role, you will design and implement data solutions to enable data sources to be effectively used for reporting, analysis, modeling, and specific use-cases.

Key Responsibilities:

  • Design and develop data marts to support AI, machine learning, analytics, and reporting work.
  • Lead the design and development of on-premise or on-cloud (GCP) data marts.
  • Author and maintain complex ETL pipelines which process large datasets for downstream production systems and ML models.
  • Perform Exploratory Data Analysis (EDA) activities to inform and support real-time marketing-campaign trigger development.
  • Support real-time marketing campaign trigger development by authoring and maintaining data pipelines for filtering, transforming and aggregating streams of event data.
  • Support end-to-end testing of user journeys resulting from real-time marketing-triggers.
  • Update and maintain data dictionaries, ensure data updates are complete, accurate and consistent.
  • Ensure that data is sourced from trusted sources where possible and support work to transitioning data marts to leverage trusted sources as they become available.
  • Work closely with ASP D&A, Marketing, Channels, and other business stakeholders to design, develop and maintain analytics enablers for supporting the needs of ASP sites.
  • Support measurement of business potential and effectiveness.
  • Make recommendations and identify improvement opportunities proactively to refine and enhance the analytics enablers and related processes and platforms.
  • Develop and ensure adherence to an operating model and design, development, and maintenance best practices for data mart design and supporting analytics enablers.
  • Support the exploration and documentation of on-premise processes and migration to a cloud-based environment including source data ingestion to cloud, quality checking, development and maintenance of data marts, and business logic migration.
  • Reconciling business requirements with data availability by performing gap analysis on existing datasets and coordinating with IT team on new data-ingestion and existing data-enhancement efforts.
  • Coordinate with IT on development of tools, features, and processes to enable the D&A team and enhance data mart development and maintenance.
  • Directly or indirectly lead and steer the team in the right direction.
  • Express ideas, share and present information clearly and concisely; articulate messages, modify approach, and build connections/trust.
  • Ability to drive projects to execution by developing deliverables timelines and effectively managing stakeholders.
  • Effectively manages cross business and functional stakeholders to provide the deliverables needed to drive projects to completion.
  • Uplift analytics-centric technical capability and recommend seamless approaches and refinement in the related processes.
  • Automate and streamline the analytics and standardized report generation processes riding on the effective analytics enablers.
  • Work collaboratively with co-workers to manage and formulate analytical projects in an effective and efficient manner.
  • Help shape the future of the analytics within the Wholesale Banking function as we move to modern data and analytics platforms.

Requirements:

  • University degree in Computer Science or related field.
  • 5+ years of relevant experience involving stake holder /expectation management, preferably in banking and financial sector.
  • Proficiency supporting data and analytics efforts in an innovative environment to support business goals and communicate the results which can be understood by all parties.
  • Experience with design and development of data marts to support AI, machine learning, analytics, and reporting work, especially on using data for implementing targeted campaigns and real-time triggers and track performance.
  • Extensive data mining skills, ability to understand various data structures, both structured and unstructured, and an understanding of common data transformation and aggregation methods.
  • Proficiency with SQL and Python is required.
  • Experience with analytical tools offered by cloud platforms (GCP, Azure, AWS and / or AliCloud) and big data platforms such as Hadoop, Spark, etc.
  • Strong team player with open mind, self-motivation and good communication, interpersonal skills as well as strong sense of responsibility and ability to learn quickly and adapt in a fast-paced environment.
  • High technical aptitude, problem solving abilities with structured way of thinking, intellectual curiosity, motivation, and passion for data discovery.
  • Detail oriented with full picture and customer first in mind. Interested in staying up to date on the latest advanced analytics and big data technologies.
  • Fluent written and spoken English.

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