DescriptionDescription:
You are a strategic thinker passionate about driving solutions in Marketing Analytics. You have found the right team.
As a Marketing Analytics Professional within our Private Banking division you will be responsible for setting and improving our organizational objectives and ensuring their consistent accomplishment.
Job Responsibilities:
- Partner with marketing stakeholders to identify opportunities for leveraging data analytics to solve complex marketing challenges.
- Develop and maintain dashboards and reports in Tableau to visualize marketing data insights and track key performance indicators (KPIs).
- Utilize strong SQL and Python coding skills to manipulate and analyze large datasets and create interactive applications using Streamlit Dash or Shiny.
- Conduct indepth data exploration and mining to understand client behavior market opportunities and campaign effectiveness.
- Provide datadriven insights and recommendations to support strategic marketing decisionmaking and enhance client engagement.
- Foster a datadriven culture by promoting data literacy and encouraging innovative approaches to marketing problemsolving.
Required Qualifications Capabilities and Skills:
- Technical Proficiency: Strong expertise in Python for data manipulation and analysis with experience in using libraries such as Pandas NumPy SciPy Scikitlearn and Matplotlib. Proficiency in SQL for querying and managing large datasets from various data sources.
- Application Development: Experience with interactive application frameworks like Streamlit Dash or Shiny to develop userfriendly data applications that enhance data accessibility and usability.
- Data Visualization: Advanced skills in data visualization tools such as Tableau Power BI or Qlik with the ability to create interactive and insightful dashboards that effectively communicate complex data insights to stakeholders.
- Analytical Skills: Demonstrated ability to work with large datasets perform complex data analysis and derive actionable insights. Experience in data cleaning transformation and modeling to support datadriven decisionmaking.
- ProblemSolving: Strong problemsolving skills with the ability to identify issues analyze data and develop innovative solutions to complex business challenges.
- Industry Experience: Experience in the financial services industry particularly in private banking wealth management asset management or marketing analytics.
- Communication: Excellent written and verbal communication skills with the ability to translate data findings into compelling narratives and present them to diverse audiences.
- Collaboration: Ability to work collaboratively in crossfunctional teams build strong relationships with stakeholders and contribute to a culture of datadriven decisionmaking.
Preferred Qualifications Capabilities and Skills:
- Educational Background: Advanced degree in Business Analytics Statistics Computer Science or a related field with a strong foundation in quantitative analysis and data modeling.
- Machine Learning: Familiarity with machine learning techniques and their application in predictive analytics including experience with libraries such as Scikitlearn or TensorFlow.
- Project Management: Experience in managing data analytics projects from inception to completion with the ability to prioritize tasks manage timelines and deliver highquality results.
- Data Governance: Understanding of data governance principles data quality management and best practices for ensuring data accuracy and integrity across platforms.
- Innovation: A passion for technology and innovation with a proactive approach to exploring new tools techniques and methodologies to enhance data analytics capabilities.
Required Experience:
IC