ANZ
EngineeringNew💼 FullTime

Operations Analyst at ANZ

ANZ
•2 hours ago
Location

Bangalore

Salary

Competitive

Apply By

ASAP

Views

5

Eligible Batches

🎓 2026 Batch

Job Description

Join ANZ in Bangalore as an Operations Analyst and drive data‑powered process improvements. Competitive pay, fast‑growth environment for 2026 grads.

Roles & Responsibilities

Analyze operational data to detect inefficiencies and recommend actionable improvements Monitor key performance indicators and generate daily/weekly operational dashboards Collaborate with cross‑functional teams to streamline processes and ensure compliance Prepare detailed reports for senior leadership highlighting trends and cost‑saving opportunities Support automation initiatives using scripting or low‑code tools to reduce manual effort

Requirements

Proficiency in SQL and Excel for data extraction and analysis Basic knowledge of Python or R for scripting and statistical modeling Strong analytical mindset with ability to interpret complex datasets Excellent communication and stakeholder management skills Attention to detail and ability to work in a fast‑paced environment

Eligibility Criteria

B.Tech/B.E. 2026 Batch

Tech Stack & Ecosystem

SQLPythonExcelPowerBIData AnalysisProcess OptimizationCommunication

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Quick Info

TypeFullTime
RoleOperations Analyst
Work Mode🏢 On-site
Eligible Batches
2026

Tech Stack

SQLPythonExcelPowerBIData AnalysisProcess OptimizationCommunication

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Career Advice

Company Insights

ANZ is a leading global financial institution renowned for its innovative culture and commitment to sustainable banking. As an Operations Analyst in Bangalore, you will be part of a dynamic team that shapes the bank’s operational excellence, giving you exposure to cutting‑edge analytics tools and a platform to influence high‑impact decisions across multiple markets. Working at ANZ offers a clear career trajectory with structured mentorship programs, rotational opportunities, and access to a global network of professionals. The role not only enhances your quantitative skill set but also builds strategic thinking, positioning you for rapid advancement into senior analytics or management positions within the finance sector.

Interview Guide

Prepare for case‑based questions that simulate real‑world operational challenges, such as identifying process bottlenecks from a set of KPI data. Practice walking through your analytical framework aloud—define the problem, outline data sources, perform quantitative analysis, and propose actionable recommendations using the STAR method. Brush up on SQL query optimization and be ready to write or debug a short script in Python or Excel VBA on the spot. Review common financial operations terminology (e.g., settlement cycles, AML compliance) and think about how data‑driven insights can improve those processes. Demonstrating familiarity with visualization tools like PowerBI and articulating the impact of your past projects will set you apart.