Lead Data Analyst - Digital Technology Platform

What You Will Do

• Manage a team of data analysts
• Build mappings in order to develop marts and data lakes
• Building user interfaces and dashboards that allow users to interact with and visualize data
• Testing and validating software and data product to ensure accuracy and reliability
• Collaborating with other developers, data analysts, and stakeholders to ensure that the software meets the needs of the business or organization
• Support Business Performance & Strategic Analytics, business departments and decision-makers.

What You Will Do

• Data Product Development, Data Mart design
• Understanding of Machine Learning / Deep Learning / Time-Series / Optimization
• Banking Retail, Business & Wholesale Product Knowledge and understanding
• Communication & Inter-personal skills
• People Management & Multicultural awareness

Technical Skills

• Strong skills using Python (+ R, SAS, Spark) , SQL, DAX
• Strong coding skills in a data programming language: Python, R, Java
• Cloud Data technologies
• Competencies:
• Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
• Deployment experience (various databases, server/cloud environment: AWS, Azure, and APIs, ODBCs, web apps)
• Excellent knowledge of Banking Functional Knowledge (major plus)
• Good written, oral communication, documentation skills with ability to communicate effectively with stakeholders
• Understanding of banking products, functional knowledge is a major plus
• Experience in working with tools like Power BI, Tableau or Qlik

What We Are Looking For

• Bachelors or Master’s degree in computer science, Information Technology, or a related field.
• Demonstrated expertise in working with Data Bricks for data processing and analysis.
• Experience in implementing and optimizing data solutions using multiple programming languages in an Azure environment.
• Proven experience as a Data Analyst or in a similar role, with at least X years of hands-on experience in developing data pipelines and managing data infrastructure within Azure.
• Managed a team of data analysts
• 3 years of experience in banking data
• Python and SQL experience required
• Worked on end-to-end Data Product deployment

What We Are Not Looking For

❌ Opaque Problem Solvers

• Approaches that prioritize complexity over clarity, with limited focus on explainability, governance, or confidence in decision‑making outcomes.
• ❌ Isolated Specialists
• Individuals who operate in silos and lack the inclination to co‑create with product, engineering, and business partners to drive end‑to‑end impact.
• ❌ Comfort‑Zone Practitioners
• Skillsets rooted in legacy methodologies, with minimal appetite for evolving alongside modern cloud architectures, MLOps maturity, and GenAI‑driven innovation.
• What’s In It For You.
• Pay for performance culture (Competitive and performance-linked compensation)
• Diverse workforce and inclusive culture
• Career development and growth opportunities by design
• Work with the best minds in the field
• Get opportunities to bring your whole self to the organization and perform to your best.