Business Analyst (Data Analyst)

Job Description :  

Establish strong relationships with business partners and key stakeholders, engage with business areas from across the
Organization to understand the opportunities / challenges we as an organization face daily and present back analytical findings.
Follow processes to make decisions on query approach and visualization outputs, taking ownership on how to solve for more complex problems.
Escalates any identified issues and opportunities as appropriate.
Support a continuous improvement culture within the organization.
Support an environment where creative thinking is encouraged and developed.
Key Responsibilities

Strong experience and expertise in statistics, coding, modelling, and experimentation.
Has experience building functionality to explain internal model structures and hidden biases in data to ensure implementation of fair, responsible, and ethical AI systems.
Containerization experience with docker or Kubernetes experience.
Knowledge of relational database technologies such as Teradata, or MySQL with strong SQL execution and optimization skills.
Experience creating visualizations and dashboards in Power BI, Tableau or Qlik.
Strong experience working with software best practices, including agile methodologies, coding standards, versioning, code reviews, source management, build processes, testing, and operations.
Strong working knowledge of SAS and Spark would be an advantage.
Qualifications

Bachelor’s degree with a minimum of 5+ years of experience as a Business Analyst with strong expertise in requirement gathering, stakeholder management, and documentation (BRD, FRD).
A minimum 3 years’ experience as Data Analyst
Highly numerate and passionate about data and analytics with a strong understanding of banking domain processes and regulatory requirements.
Excellent analytical and problem-solving skills, with proficiency in SQL and Data Visualization best practices.
Experience in the Teradata/ Ab Initio/ Informatica/ Python is a Plus.
Experience working closely with cross-functional teams including data analysts, engineers, and business stakeholders to define and implement data-driven solutions.
Self-starter with the ability to work independently, demonstrating strong attention to detail and delivering tasks with a high degree of accuracy.
Strong communication and presentation skills, with a proven ability to engage senior stakeholders, influence strategic decisions, and translate business requirements into actionable insights.
Hands-on experience in data analysis, data mapping, and reporting to support business decision-making