Data Analyst (Financial Domain) Opening with CAPCO-Bangalore

Capco; Bengaluru; Hybrid; INR 700,000 - 1,100,000; Full time

Job summary

Capco is seeking a Data Analyst with strong SQL, GCP/BigQuery, and finance-domain experience to analyze large datasets, derive actionable insights, and support strategic decision-making with UK-based stakeholders.

You will work with data warehouses and cloud analytics platforms, applying data modeling and ETL/ELT concepts, and utilize Power BI or Tableau to deliver clear, impactful reports.

Qualifications

• Strong expertise in SQL including complex joins, CTEs, window functions, query optimization, and performance tuning.
• Hands-on experience with Google Cloud Platform (GCP) and BigQuery.
• Experience working with large-scale datasets, data warehouses, and cloud analytics platforms.
• Strong understanding of data modeling, ETL/ELT concepts, and data transformation techniques.
• Experience with reporting and visualization tools such as Power BI, Tableau, Looker, or Google Data Studio.
• Knowledge of Python (Pandas, NumPy) for data analysis and automation is desirable.

Skills

SQL

Data analysis

Stakeholder management

Communication

Problem solving

Tools

GCP

BigQuery

Power BI

Tableau

Looker

Google Data Studio

Python

Pandas

NumPy

ETL/ELT

Data Modeling

Job description

Job Despricption

We are seeking Data Analyst with strong expertise in Finance, advanced SQL skills, and hands-on experience with GCP/BigQuery. The ideal candidate will analyze large datasets, generate actionable insights, and partner with UK-based stakeholders to support business and strategic decision-making.

Required Technical Skills

• Strong expertise in SQL including complex joins, CTEs, window functions, query optimization, and performance tuning.
• Hands-on experience with Google Cloud Platform (GCP) and BigQuery.
• Experience working with large-scale datasets, data warehouses, and cloud analytics platforms.
• Strong understanding of data modeling, ETL/ELT concepts, and data transformation techniques.
• Experience with reporting and visualization tools such as Power BI, Tableau, Looker, or Google Data Studio.
• Knowledge of Python (Pandas, NumPy) for data analysis and automation is desirable.

Domain Expertise

• Strong background in Finance, Banking, Capital Markets, or Financial Services.
• Experience working with financial reporting, revenue analysis, profitability reporting, risk, regulatory, or management reporting data.
• Ability to interpret financial metrics and convert them into business insights.

Stakeholder Management

• Strong communication, presentation, and consulting skills.
• Ability to independently manage discussions, influence decisions, and drive outcomes.
• Confident, articulate, and client-focused professional with excellent problem-solving abilities.