Data Scientist

Responsibilities:

• Collaborate with business partners and key stakeholders to understand business needs and translate into actionable analytics tasks, considering the data available, collaborations needed from other teams and value impact to business
• Work with data, reporting and other analytics partners to design suitable analytics solutions for the business with future scalability in mind
• Maintain and continuously refine existing strategy analytics products supporting BAU activities, investigate any issues and update these products as the business needs evolve
• Perform critical data quality checks/validations prior to any analytical tasks to ensure high quality work can be developed to support data-driven decision-making
• Understand data sources, systems, business hierarchy and key metrics in operations to enable quality and feasibility of analytical advice to the business
• Identify opportunities for automation and performance improvements within analytical projects
• Maintain documentation of BAU or critical processes to ensure governance and risk compliance and business continuity

Qualifications:

• 1+ year of experience for Analyst roles and 3+ years of experience for Senior Analyst roles in data science or related field
• Strong expertise in strategy analytics, use of tools like SQL and Python
• Proven ability to apply statistical and mathematical theories to business
• Experience in working with optimizing complex data structures & processes in multi-business environments
• Excellent communication and presentation skills, with the ability to effectively engage and influence clients and stakeholders
• Strong business acumen and strategic thinking abilities
• Bachelor's degree in relevant field (e.g. Data Science, Computer Science, other engineering / management). Advance degree preferred
• Experience with contact center systems and related data hierarchies preferred (but not mandatory)
• Prior knowledge of Finance and banking preferred

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