Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As a member of the Corporate and Investment Banking Marketing Analytics and Insights team, you will play a pivotal role in developing innovative, AI-powered solutions that promote business growth and career advancement. You'll collaborate with a dynamic and forward-thinking team focused on measuring and amplifying the impact of global marketing initiatives. In this foundational position, you will lead the technical execution of data engineering and analytics projects-building intelligent data tools, uncovering actionable insights, and spearheading revenue optimization through advanced data science and machine learning methodologies.
Job Responsibilities
- Partner with global stakeholders to support and coordinate marketing programs, automating processes and delivering tailored, data-driven information to empower marketers.
- Aggregate and harmonize data from multiple sources to create meaningful perspectives, measuring engagement and effectiveness of marketing deliverables.
- Ensure data integrity and accuracy of reporting by identifying golden sources and owning business rules for integrating disparate data sets.
- Design, develop, and maintain campaign performance and market sizing dashboards using modern visualization tools and custom solutions.
- Drive the next generation of reporting automation, leveraging AI and machine learning to enhance analytics capabilities and predictive insights.
Required Qualifications, Capabilities, and Skills
- Minimum 4 years of work experience, ideally with digital marketing data and analytics platforms (e.g., Marketo, Adobe Analytics, Google Console, Salesforce).
- 3 years of relevant work experience in machine learning, artificial intelligence, and quantitative analytics, including building predictive models and deploying AI solutions for business impact.
Preferred Qualifications, Capabilities, and Skills
- Experience manipulating large and complex databases, developing quantitative models, and solving business problems using data automation and ETL tools, preferably Python and SQL.
- Bachelor's degree or relevant experience graduate degree in a technical field (Information Systems, Database Management, Computer Science, Data Science) preferred.
- Demonstrated ability to analyze, interpret, and translate metric performance into actionable insights and recommendations.
- Strong oral, written, and interpersonal communication skills.
- Growth mindset and keen attention to detail.
- Proficiency in visual analytics, preferably utilizing advanced, AI-driven platforms such as Databricks Genie, ThoughtSpot, and other AI/BI tools, or industry-standard solutions such as Power BI/Tableau.
