Internal Audit-Hyderabad-Associate-Data Analytics & Reporting

Goldman Sachs; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Goldman Sachs in Hyderabad, India, is seeking a hands-on Full Stack Data Analyst to join the Internal Audit Data Analytics team. You will design, build, and ship analytical applications end-to-end from data models and Python services to modern React front-ends, enabling audit teams to work smarter with data-driven decisions.

The role emphasizes production ownership in an agile environment, working across Python, Flask/FastAPI, React, SQL, and DevOps practices, with emphasis on delivering

Qualifications

• 3-5 years of professional software engineer experience
• Proficient in Python and data analytics tooling (pandas, NumPy)
• 1-2 years React + modern JavaScript
• Solid SQL and data modelling knowledge
• Experience with GitLab and CI/CD pipelines

Responsibilities

• Design, develop, test, and maintain Python-based applications and services.
• Build secure RESTful APIs for internal apps and downstream consumers.
• Develop responsive React front-ends from wireframes to production-grade components.
• Design and refine data models and write efficient SQL for reporting and analytics.
• Manage source control and CI/CD pipelines in GitLab; contribute to automation and testing.
• Deploy applications to containerized environments with Kubernetes and Docker.

Skills

Python

React

SQL

Git & CI/CD

REST APIs

Data analytics

Education

Bachelor's degree in CS/Engineering

Tools

Flask

Docker

Kubernetes

OpenAPI/Swagger

Snowflake

Job description

WHAT WE DO

Internal Audit's mission is to independently assess the firm's internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management's implementation of control measures. Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.

About the Role

Job Description

WHAT WE DO

Internal Audit's mission is to independently assess the firm's internal control structure, including governance processes and controls, risk management, capital and anti-financial crime frameworks. Internal Audit communicates on the effectiveness of governance, risk management and controls, raises awareness of control risk, assesses control culture and conduct risk, and monitors management's implementation of control measures. Data Strategy and Analytics (DSA) partners with audit teams to translate data needs into durable, reusable capabilities. The team designs data products, engineering patterns and AI-ready data foundations that improve the efficiency, consistency and insight of audit work.

About the Role

We are looking for a hands-on Full Stack Data Analyst to join our Internal Audit Data Analytics team supporting the Internal Audit Division. In this role you will design, build, and ship analytical applications end-to-end - from data models and Python services through to modern React front-ends - that directly enable audit teams to work smarter and make better-informed, data-driven decisions.

This is a high-impact, high-visibility role for an engineer who enjoys owning features from concept to production, working in a fast-paced Agile environment.

What You'll Do

• Design, develop, test, and maintain Python-based applications, services, and automation that power analytical and audit workflows.
• Build and expose well-documented, secure RESTful APIs (Flask or similar frameworks) that serve data to internal applications and downstream consumers.
• Develop responsive, intuitive user interfaces using React and JavaScript, translating business requirements and wireframes into production-grade components.
• Design and refine data models - logical and physical - and write efficient SQL to support reporting, analytics, and application needs.
• Manage source control, code reviews, and automated build/test/deploy workflows in GitLab, contributing to and improving CI/CD pipelines.
• Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.
• Champion engineering quality through unit tests, integration tests, and Test-Driven Development (TDD).
• Partner closely with product owners, and audit stakeholders in a global, distributed Agile/Scrum setting to deliver iteratively.
• Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.

Required Qualifications

Area Requirement

Education Bachelor's degree (or higher) in Computer Science, Engineering, or a related technical discipline

Overall Experience 3-5 years of professional software engineer experience

Python 3-5 years of strong, hands-on Python development experience building production applications and exposure to data analytics tooling (pandas, NumPy)

Front-End

1-2 years of hands-on experience building UIs with React and modern JavaScript

SQL & Data Modelling

Solid SQL skills and a good understanding of data modelling concepts - normalization, relational/dimensional design, schema evolution, and query performance

Version Control & DevOps

Hands-on experience with GitLab and strong grasp of core Git concepts (branching strategies, merge requests, rebasing, conflict resolution) plus practical exposure to CI/CD pipelines

Testing

Demonstrated experience implementing unit tests, integration tests, and applying

Test-Driven Development

Ways of Working

Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team

Preferred / Good To Have

• Experience designing and developing Flask-based REST APIs (or FastAPI/Django REST Framework).
• Working knowledge of deploying code to a Kubernetes cluster - building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.
• Experience with containerization using Docker and automating deployments through CI/CD pipelines.
• Familiarity with API design best practices - versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.
• Understanding of cloud platforms such as Snowflake.

Prior experience in financial services, risk, or Internal Audit domains.

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm with offices around the world. We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our workplace and to providing opportunities for professional and personal growth. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Position-description note: This document describes the duties most frequently performed at this position level and is not intended to be a complete list of assigned duties. The role is performed within a professional office environment. Applicable health and safety policies are available to workers upon request.