Live opening · Posted 10 hours ago
The key details from the original listing.
Description supplied by the original job listing.
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.
JobRequirementsBusiness 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:
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