Reporting and Analytics Lead, HSBC

HSBC

Location:
India, Hyderabad

Category:
Banking

Contract Type:
Not provided

Salary:

Not provided

Save Job

Job offer has expired

Job Description:

HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Reporting and Analytics Lead.

Job Responsibility:

Manage a cross-functional team including business stakeholders, developers, and two strategic external suppliers
Set clear development priorities, performance expectations, and accountability measures for supplier teams
Proactively manage risks, issues, and changes in the scope, ensuring alignment with business objectives
Report regularly on project status, update Jira, Confluence, prepare the project plan
Provide mentoring and guidance to the Team members
Foster collaboration and accountable team culture focused on delivery excellence
Oversee the ingestion and transformation of data from over 800 automated feeds and multiple manual sources including SharePoint and PowerApps
Implement robust data validation, error handling, and reconciliation processes to ensure timely and accurate data availability
Enable trusted analytics and reporting outcomes by improving data consistency, quality, and lineage
Lead the transformation of fragile legacy golden source tables into scalable, modular, and distributed data platforms
Deliver a successful migration of billing and service performance logic to a modern SQL Server environment with improved stability and maintainability
Drive automation and reduce manual interventions by modernising outdated transformation procedures and improving monitoring practices
Define and embed enterprise data standards that ensure consistency, reusability, and trust
Lead the transformation of legacy golden sources into scalable, distributed data platforms
Govern the migration of key workloads to modern SQL Server and GCP environment
Design and oversee modular, fault-tolerant, and scalable ETL/ELT pipelines
Implement robust documentation and version control practices to maintain transparency and reproducibility
Monitor the accuracy and reliability of data pipelines and ensure data integrity across all stages of analysis
Mitigate risks associated with decision-support systems through thorough validation, testing, and regular audits
Act as a strategic partner in gathering and refining business requirements
Conduct gap analysis, impact assessments, and solution design in collaboration with stakeholders and technical teams
Translate business need into clear documentation: BRDs, user stories, acceptance criteria, and workflows
Build internal capability around data standardization, automation best practices, and documentation
Ensure solution meet both functional and non-functional business requirements
Introduce Ops-wide data engineering best practices including data lineage, observability, and schema evolution
Establish reusable transformation frameworks with centralized logic and documentation
Define and embed enterprise data standards that ensure consistency, reusability, and trust
Drive CI/CD automation for data pipeline deployment, testing, and version control
Act as the bridge between business stakeholders, governance teams, and technology partners to align on data requirements and delivery priorities
Engage with business leaders and technical teams to ensure shared understanding of goals and priorities
Facilitate decision-making and alignment across various stakeholders
Lead workshops, presentations, and status meetings with diverse audiences
Influence stakeholders without direct authority and align priorities across teams and regions

Requirements:

Master’s degree in Business, Computer Science, Engineering, or a related fields
12+ years of experience in Project management, enterprise data infrastructure or engineering roles, with at least 5 years in a lead or senior role
Strong background in Business Analytics (ideally with 5+ years in data leadership roles
Strong background in data standards, governance frameworks, metadata management, and platform observability
Familiarity with data pipeline tooling, automation practices, version control (Git), and backlog management (Jira/Confluence)
Hands-on experience with data transformation tools such as Alteryx, and basic knowledge of Python and SQL scripting
PMP, PRINCE2, or Agile/Scrum certification (e.g. CSM, PMI-ACP)
CBAP or other relevant BA certification
Experience with tools such as Jira, Confluence, MS Project, Power BI, or similar
Background in Financial Services, Banking, or Enterprise IT environment is a strong asset
Deep expertise in SQL Server, GCP platform, and large-scale ETL/ELT architecture
DataOps & DevOps: CI/CD pipelines for data systems with automated testing and version control
Proven delivery of infrastructure-as-code (IaC) and schema evolution frameworks
Strategic thinking with a hands-on approach to delivery
Excellent communication and negotiation skills
Strong analytical and problem-solving ability
Leadership and team-building mindset
High attention to details and organizational skills

What we offer:

Equal opportunity employer
Continuous professional development
Flexible working
Opportunities to grow within an inclusive and diverse environment

Additional Information:

Job Posted:
August 11, 2025

Expiration:
August 18, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

View All Jobs In This Company

Job Link Share:

Reporting and Analytics Lead

HSBC

Location:India, Hyderabad

Category:Banking

Contract Type:Not provided