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The Data Analyst will play a crucial role in the Business Intelligence (BI) team within the Consumer Banking business. This position requires a combination of technical expertise and business insight to transform complex datasets into actionable recommendations. The ideal candidate will proactively seek opportunities to improve efficiency and foster innovation, contributing to the bank's strategic growth. A passion for data and analytics is essential to help drive informed decision-making through insightful analysis.
Key Responsibilities:
Data Analysis: Perform in-depth analysis to identify trends, insights, and opportunities that support key business strategies.
Reporting & Dashboards: Develop clear, detailed reports and dashboards to communicate findings effectively to stakeholders.
Cross-functional Collaboration: Collaborate with various departments to ensure data insights are integrated into business decision-making processes.
Stakeholder Engagement: Understand stakeholder requirements and deliver tailored, data-driven solutions to meet their needs.
Documentation: Ensure thorough documentation of data analysis processes, methodologies, and outcomes.
Skills & Experience Required:
Technical Skills:
Proficiency in ETL (Extract, Transform, Load) processes and related technologies.
Expertise in data analysis and segmentation based on key business criteria.
Hands-on experience with tools such as:
Oracle SQL and SQL Server (SRSS)
Power BI / Tableau
SAS, R, or Python for advanced analytics.
Advanced Excel skills, including data manipulation and visualization.
Experience with cloud-based data platforms and big data tools (e.g., Azure).
Non-Technical Skills:
Excellent presentation skills, with the ability to simplify complex data for non-technical audiences.
Strong experience in the banking and financial services sector, particularly in the cards business and loyalty marketing strategies.
Proven success in campaign tracking and fulfillment, with an emphasis on measurable results.
Proficiency with Think Cell and MS PowerPoint for presentations.
Strong analytical and problem-solving capabilities.
Ability to manage and analyze large datasets within tight deadlines.
Effective communication skills, able to work with both technical and non-technical teams.
A collaborative team player who thrives in a dynamic, cross-functional environment.
Key Responsibilities:
Data Analysis: Perform in-depth analysis to identify trends, insights, and opportunities that support key business strategies.
Reporting & Dashboards: Develop clear, detailed reports and dashboards to communicate findings effectively to stakeholders.
Cross-functional Collaboration: Collaborate with various departments to ensure data insights are integrated into business decision-making processes.
Stakeholder Engagement: Understand stakeholder requirements and deliver tailored, data-driven solutions to meet their needs.
Documentation: Ensure thorough documentation of data analysis processes, methodologies, and outcomes.
Skills & Experience Required:
Technical Skills:
Proficiency in ETL (Extract, Transform, Load) processes and related technologies.
Expertise in data analysis and segmentation based on key business criteria.
Hands-on experience with tools such as:
Oracle SQL and SQL Server (SRSS)
Power BI / Tableau
SAS, R, or Python for advanced analytics.
Advanced Excel skills, including data manipulation and visualization.
Experience with cloud-based data platforms and big data tools (e.g., Azure).
Non-Technical Skills:
Excellent presentation skills, with the ability to simplify complex data for non-technical audiences.
Strong experience in the banking and financial services sector, particularly in the cards business and loyalty marketing strategies.
Proven success in campaign tracking and fulfillment, with an emphasis on measurable results.
Proficiency with Think Cell and MS PowerPoint for presentations.
Strong analytical and problem-solving capabilities.
Ability to manage and analyze large datasets within tight deadlines.
Effective communication skills, able to work with both technical and non-technical teams.
A collaborative team player who thrives in a dynamic, cross-functional environment.
