Senior Data Analyst, Transformation & Data - Data Chapter, Group COO - 1 Year Contract (Third Party)

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:

Job:

Schedule:

Employee Status: