AVP, Domain Data Analyst, Technology Service Delivery Group - SMBC - Sumitomo Mitsui Banking Corporation

We are seeking a talented Domain Data Analyst who will bridge the gap between data analysis and business needs while ensuring the integrity and quality of our data.

1. Data Analysis:

• Proven experience in data analysis and delivery of a portfolio of data products (e.g, dashboards, reports, predictive models, data models).
• Analyze and interpret complex domain-specific data sets to identify trends, patterns, and insights that drive business decisions.
• Collaborate with cross functional teams to design, build, and implement data products
• Present findings and insights to both technical and non-technical audiences in a clear and concise manner.
• Prepare cleanse and validate data to ensure consistency, accuracy and reliability for analysis and reporting
• Document system data flows, data model transformation and architecture, establish technical data dictionaries and access controls

1. Business Analysis:

• Collaborate with business units to comprehend their data needs and deliver solutions that address those requirements.
• Facilitate workshops and meetings to gather requirements
• Support project management tasks by providing data-related expertise and guidance.

1. Collaboration and Communication:

• Work closely with technology and business departments to ensure seamless data flow and access.
• Provide training and support to team members on best practices and tools
• Communicate complex data concepts to non-technical stakeholders effectively.

• Bachelor's degree in Data Science, Business Analytics, Information Technology, or a related field
• Min 8 years of experience in data analysis with a focus within finance domain.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Understanding of data warehousing and ETL processes.
• Knowledge of data analysis and data modelling techniques
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Exceptional attention to detail and a commitment to data accuracy and quality.

• Familiarity with product management methodologies and agile development practices is a plus.
• Experience in Collibra is a plus
• Understanding of data stewardship principles and data governance frameworks.
• Knowledge in Financial Accounting, Management Accounting & Regulatory Reporting, Risk Management, Capital / Profitability Management would be a plus.
• Certifications such as CDMP is a plus.