A Data Analytics Analyst role is a high-impact opportunity for professionals who want to build a career in data-driven decision-making, analytics, and business intelligence within a global financial services environment. This role is suitable for both freshers and experienced candidates and offers exposure to large-scale datasets, advanced analytics practices, and real business use cases. Based in Pune (Hybrid), this position supports flexible working while providing strong professional growth.
Company Snapshot
is one of the world’s leading financial institutions, serving millions of customers across consumer banking, corporate banking, investment services, and risk management. Citi’s analytics teams play a crucial role in supporting strategic decisions, managing risk, improving customer experience, and driving operational efficiency through data.
Role Overview – Data Analytics Analyst
The Data Analytics Analyst role focuses on collecting, analyzing, and interpreting data to support business decisions across banking and financial operations. Analysts work with stakeholders, technology teams, and leadership to transform raw data into actionable insights.
Key role details:
- Position: Data Analytics Analyst
- Qualification: Bachelor’s / Master’s Degree
- Experience: Freshers / Experienced
- Employment Type: Full Time
- Location: Pune, India (Hybrid)
- Domain: Data Analytics / Business Intelligence / Financial Analytics
Role Purpose and Business Impact
The main objective of this role is to enable data-backed decision-making across business functions. By analyzing trends, identifying risks, and monitoring performance metrics, Data Analytics Analysts help improve efficiency, reduce operational risks, and enhance customer outcomes. The insights generated directly influence strategy, compliance, and financial performance.
Key Responsibilities
- Analyze structured and unstructured datasets to identify trends and patterns
- Develop reports, dashboards, and visualizations for stakeholders
- Support business teams with data-driven insights and recommendations
- Perform data validation, cleansing, and quality checks
- Collaborate with technology and business teams on analytics initiatives
- Monitor key performance indicators (KPIs) and operational metrics
- Support predictive and descriptive analytics use cases
- Document analysis methods and maintain reporting standards
Skills Required
Candidates applying for this role should demonstrate strong analytical fundamentals.
- Proficiency in data analysis and interpretation
- Experience or exposure to SQL and data querying
- Strong skills in Excel and reporting tools
- Familiarity with data visualization tools (Power BI, Tableau, or similar)
- Understanding of statistics and analytical methods
- Ability to translate data insights into business context
- Strong problem-solving and logical reasoning skills
- Clear written and verbal communication
Who Can Apply
This role is suitable for:
- Fresh graduates with strong analytical or quantitative backgrounds
- Candidates with prior experience in analytics, reporting, or data roles
- Graduates from engineering, mathematics, statistics, economics, or related fields
- Professionals interested in finance, risk, operations, or business analytics
Strong fundamentals and a learning mindset are key success factors.
Work Culture and Learning Environment
Citi offers a structured and collaborative work environment that emphasizes learning, diversity, and innovation. Analytics professionals work with experienced leaders, access enterprise-grade tools, and engage in cross-functional projects. The hybrid model supports flexibility while maintaining strong team collaboration and professional development.
Career Growth Opportunities
Starting as a Data Analytics Analyst can lead to advanced roles such as:
- Senior Data Analyst
- Business Intelligence Analyst
- Risk or Financial Analyst
- Analytics Manager
- Data Science or Advanced Analytics roles (with upskilling)
The skills developed are highly transferable across industries and global markets.
Why This Role Is Career-Strong
This role is valuable because it:
- Builds strong data and analytical foundations
- Offers exposure to real financial and business datasets
- Strengthens decision-making and stakeholder communication skills
- Provides long-term growth in analytics and finance careers
- Keeps skills relevant in a data-driven economy
Selection Process
The hiring process typically includes:
- Online application and resume screening
- Technical or analytical assessment
- Interviews focusing on data interpretation and problem-solving
- Behavioral interview assessing communication and fit
Demonstrating clarity in explaining data insights and strong fundamentals improves selection chances.
