Purpose of the role
To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency.
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as a Senior Business Analyst & Data Modeler (BA-DM) where you will play a critical role in bridging the gap between business requirements and technical implementation, ensuring that regulatory data solutions meet the Regulatory Reporting expectations. Also, ensuring that the data analytics solutions deliver unparalleled customer insights, in full compliance with Barclays Data, security, accuracy and efficiency standards.
You may be assessed on the key critical skills relevant for success in role, such asstrong experience in business analysis (involving Investment Bank) and data modelling in delivering regulatory data projects. As an ideal candidate you will have a strong background in business analysis, data modelling, and regulatory reporting frameworks within the investment banking domain.
To be successful as a BA-DM for Investment Bank, you should have:
Strong understanding of investment banking products as well as trade life cycle.
Strong understanding of regulatory frameworks applicable to investment banks.
Strong understanding of data governance frameworks applicable to investment banks.
Experience in working on large-scale regulatory data projects in the investment bank in requirements gathering as well as in data analysis and modelling.
8+ years’experience as a business analyst, detailing functional and non-functional requirements.
3+ years’ experience in developing and optimizing data models with industry standard tools as well in implementing data quality rules.
Deep understanding of relational databases, data warehouse design, and ETL or ELT processes.
Proven experience in SQL, Excel and Python for data analysis and validation.
Define and execute test cases to validate data outputs as well as assist in User Acceptance Testing (UAT).
Desirable skillsets / good to have:
Strong communication and presentation skills, with ability to convey complex concepts to both technical and non-technical audiences.
Excellent problem-solving skills and attention to detail.
Ability to work under pressure and manage multiple priorities in a fast-paced environment.
Knowledge of data visualization tools (e.g., Tableau, Power BI).
Familiarity with cloud-based data platforms (e.g., AWS, Azure, or GCP).
Familiarity with big data technologies like Apache Spark, Starburst, Iceberg, DBT, object store, Databricks and Airflow.
Professional certifications such as CBAP (Certified Business Analysis Professional), TOGAF, or DAMA-CDMP (Certified Data Management Professional) is a plus.
Experience with Agile project management methodologies (e.g., Scrum, Kanban).
This role will be based out of Nirlon Knowledge Park / Altimus office, Mumbai.