About this role
About the Role
As a Senior Data Analyst within the Data Chapter, you will play a key role in identifying business growth opportunities and helping business units and support units achieve their strategic goals through analytical insights and data-driven solutions. You will collaborate closely with cross-functional business stakeholders, product owners, and senior management to drive strategic discussions and actionable outcomes.
Key Responsibilities
- Lead data-driven decision-making and analytical initiatives across business domains.
- Partner with stakeholders to create new strategies, optimize customer/operational journeys, and enhance overall experiences.
- Apply data-driven operating models to maximize data value and drive measurable business impact.
- Analyze complex datasets and customer/operational behavior to find key trends, insights, and opportunities for deeper engagement or efficiency.
- Champion a customer-obsessed and data-driven approach by understanding needs and designing effective experiments, simulations, and campaigns.
- Conduct in-depth data analysis, build robust models, and develop informative dashboards.
- Present clear, concise, and actionable insights to key partners and senior leadership.
JobRequirements
Business Acumen & Expertise:
- Bachelor's degree or higher with at least 5+ years of relevant analytics experience.
- Prior experience in data management and analytics within banking, financial services, or top-tier consulting is a strong plus.
- Ability to understand and apply analytics strategies and models to real-world business scenarios.
- Skilled in engaging in expert-level discussions with stakeholders and product partners.
Technical Capabilities:
- Proficient in various data analytics techniques, including descriptive, predictive, and prescriptive analytics.
- Strong analytical and problem-solving skills, with a keen eye for detail and accuracy.
- Capable of advanced coding and querying data for extraction and transformation.
- Strong proficiency in statistical and querying languages such as SQL, Python, and PySpark.
- Familiarity with data visualization tools (e.g., QlikSense, Tableau, PowerBI) is a bonus.
Interpersonal & Soft Skills:
- Proactive and growth-oriented, embracing organizational transformation and agile ways of working.
- Excellent communication and presentation skills, able to simplify complex technical concepts and navigate strategic conversations with stakeholders.
- Strong ability to collaborate effectively with diverse, cross-functional teams in a fast-paced environment.
Please note that this role is a 1-year contract position employed through a third-party partner.
Location
DBS Asia Central
Job:
Analytics
Schedule:
Regular
Employee Status: