Data Analyst in Mumbai At AMINA Bank – Apply Now

AMINA Bank; Mumbai; Presencial; INR 700.000 - 1.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Exposure to cutting-edge fintech

Collaborative culture

Opportunity to work on high-impact financial data projects

Descripción de la vacante

AMINA Bank is seeking a Data Analyst with strong skills in SQL, Power BI, and Python. The role focuses on analyzing treasury and trading data to support data-driven decision-making.

Ideal candidates will have 4–7 years of experience in Data Analytics and a relevant degree. Join AMINA Bank for a chance to work on impactful financial data projects in a collaborative and innovative environment in Mumbai.

Formación

• 4–7 years of experience in Data Analytics / Financial Analytics.
• Experience with large datasets and relational databases.
• Knowledge of cloud platforms (Azure) is preferred.

Responsabilidades

• Design and optimize complex SQL queries for data extraction.
• Build and maintain Power BI dashboards and reports.
• Analyze financial datasets to enable data-driven decisions.

Conocimientos

SQL expertise

Power BI skills

Python for data analysis

Analytical abilities

Educación

Bachelor's or Master's degree in Finance, Computer Science, Data Analytics

Herramientas

SQL

Power BI

Python

Descripción del empleo

Data Analyst Role Overview

AMINA Bank is hiring a Data Analyst with strong expertise in SQL, Power BI, and Python, along with domain knowledge in Banking & Financial Services. This role focuses on analyzing treasury and trading data to enable data-driven decision-making.

About AMINA Bank

Founded in 2018 and headquartered in Switzerland, AMINA Bank is a global pioneer in digital asset banking, offering integrated fiat and crypto financial services across regulated hubs worldwide.

Key Responsibilities for Data Analyst

• Design and optimize complex SQL queries for data extraction and analysis
• Build and maintain Power BI dashboards and reports
• Perform data analysis using Python (Pandas, NumPy)
• Analyze financial datasets (trading, liquidity, treasury, risk)
• Collaborate with banking, treasury, and trading teams
• Ensure data accuracy, consistency, and integrity
• Identify trends, anomalies, and business opportunities
• Support ad-hoc reporting and stakeholder requests
• Work with data teams to enhance data pipelines and availability

Skills Required

• Strong SQL expertise (joins, window functions, performance tuning)
• Advanced Power BI skills (DAX, data modeling, dashboards)
• Intermediate Python for data analysis & automation
• Experience with large datasets and relational databases
• Strong analytical and problem-solving abilities

Domain Expertise

• Banking & Financial Services
• Treasury operations (liquidity, ALM, cash flow analysis)
• Trading data (market data, P&L, risk metrics)
• Financial instruments (equities, fixed income, derivatives – plus)

Qualifications

• Bachelor’s or Master’s degree in Finance, Computer Science, Data Analytics, or related field
• 4–7 years of experience in Data Analytics / Financial Analytics

Preferred Skills

• Experience with data warehousing & ETL processes
• Exposure to regulatory reporting and risk frameworks
• Knowledge of cloud platforms (Azure)
• Background in investment banking or capital markets

Why Join?

• Work with a global leader in digital asset banking
• Exposure to cutting-edge fintech & crypto ecosystem
• Collaborative, diverse, and innovation-driven culture
• Opportunity to work on high-impact financial data projects

Apply Now