Assistant Director, Data and Analytics

HSBC; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

HSBC is seeking an experienced Assistant Director Data and Analytics to join our Bengaluru team. The role focuses on turning business challenges into analytical statements, building scalable data pipelines, and delivering actionable insights for senior stakeholders.

You will partner with data engineering and business teams, mentor colleagues, and help foster a strong culture of delivery and professionalism while driving data-driven decision making across the organization.

Qualifications

• 9+ years of hands-on data analysis experience solving complex business problems using data.
• MBA plus Engineering or Masters in Economics/Mathematics/Statistics or equivalent with relevant data tech exposure.
• Experience with large data volumes and relational database management.
• Hands-on data modelling experience.
• Ability to review and analyze data from reports to derive observations and root causes.
• Strong written and verbal communication skills to explain complex concepts.

Responsibilities

• Partner with data engineering/technology teams to enable robust pipelines and scalable solutions.
• Convert business problems into well-defined analytical problem statements and solution approaches.
• Conduct high-quality analysis on large datasets to produce actionable insights and recommendations.
• Design, develop and implement scalable analytics solutions (portfolio performance, customer behaviour, risk metrics).
• Produce high-quality presentations and storytelling for senior stakeholders; communicate complex concepts clearly.
• Guide and lead team members from a functional perspective and foster a culture of delivery and professionalism.

Skills

Data analysis

Data modelling

SQL / Relational DB

Data storytelling

Education

MBA + Engineering / Economics / Statistics

Job description

We are currently seeking an experienced professional to join our team in the role of Assistant Director Data and Analytics.

Responsibilities

• Partner with data engineering/technology teams to enable robust, efficient pipelines and scalable solutions (advantageous where hands‑on).
• Convert business problems into well‑defined analytical problem statements and solution approaches.
• Conduct high‑quality analysis on large, complex datasets; produce clear, actionable insights and recommendations.
• Design, develop and implement scalable analytics solutions (portfolio performance, customer behaviour, risk metrics, operational insights).
• Produce high‑quality presentations and storytelling for senior stakeholders; communicate complex concepts clearly to mixed audiences.
• The role holder shall also be expected to guide and lead team members from a functional perspective and help them build up a strong culture of delivery and professionalism.

Qualifications

• 9+ years of hands‑on data analysis experience solving complex business problems using data.
• A degree in MBA with Bachelors in Engineering / Master’s degree in Economics, Mathematics, Statistics or other numerical discipline, equivalent with relevant work experience in data related technologies.
• Experience working with significant data volumes and deep knowledge of relational database management.
• Hands‑on data modelling experience.
• Conduct in depth reviews and analysing data from reports to deliver observations, detail changes and identify the root cause.
• Strong written and verbal communication skills. Ability to effectively communicate complex concepts and ideas.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, colour, national origin, veteran status, etc. We consider all applications based on merit and suitability to the role.