A Business Analyst – Data Analytics role is a high-impact opportunity for professionals who want to work at the intersection of data, business strategy, and decision-making. This position focuses on transforming complex datasets into actionable insights that drive growth, efficiency, and risk management. With a hybrid work model in India, this role suits both fresh graduates with strong analytical fundamentals and experienced professionals aiming to deepen their analytics expertise in an enterprise environment.
Company Snapshot
is a leading global financial services organization known for payments, credit solutions, and data-driven customer experiences. The company operates at massive scale, leveraging advanced analytics, machine learning, and robust data platforms to enhance customer value, manage risk, and optimize operations. Working here provides exposure to world-class data practices and rigorous governance standards.
Role Overview – Business Analyst (Data Analytics)
The Business Analyst – Data Analytics role centers on analyzing data to uncover trends, optimize processes, and support strategic initiatives. Analysts collaborate with stakeholders across product, risk, operations, and technology to translate business needs into analytical solutions and measurable outcomes.
Key role details:
- Position: Business Analyst – Data Analytics
- Qualification: Bachelor’s Degree
- Experience Level: Freshers / Experienced
- Employment Type: Full Time
- Location: India (Hybrid)
- Domain: Data Analytics / Business Intelligence
Role Purpose and Business Impact
The primary purpose of this role is to enable data-informed decisions across the organization. By building dashboards, conducting deep-dive analyses, and presenting insights clearly, analysts help teams improve customer outcomes, reduce risk, and drive operational efficiency. The impact of this role is visible in faster decision cycles, improved KPIs, and scalable analytics solutions.
Key Responsibilities
- Analyze large datasets to identify trends, risks, and opportunities
- Translate business questions into analytical frameworks and metrics
- Build dashboards and reports for stakeholders using BI tools
- Partner with cross-functional teams to define data requirements
- Validate data quality and ensure consistency across sources
- Present insights through clear storytelling and visualizations
- Support experimentation, forecasting, and performance tracking
- Document methodologies, assumptions, and findings
Technical and Analytical Skills Required
- Strong proficiency in SQL and data querying
- Experience with BI tools (Tableau, Power BI, or similar)
- Solid understanding of statistics and data analysis techniques
- Ability to work with large, complex datasets
- Familiarity with Python/R for analysis (good to have)
- Knowledge of data modeling and KPI design
- Strong Excel skills for analysis and validation
Who Can Apply
- Fresh graduates with strong analytical and quantitative foundations
- Candidates with internships or projects in data analytics or BI
- Experienced professionals seeking enterprise-scale analytics exposure
- Individuals passionate about data-driven problem solving
A clear analytical mindset and ability to communicate insights matter most.
Work Environment and Learning Culture
The work culture emphasizes collaboration, continuous learning, and high standards of analytical rigor. Analysts work in agile teams, receive mentorship, and access structured learning resources. The hybrid model supports flexibility while maintaining close collaboration with stakeholders and leadership.
Career Growth Opportunities
Starting as a Business Analyst – Data Analytics can lead to roles such as:
- Senior Business Analyst
- Data Scientist / Advanced Analytics Specialist
- Product or Growth Analyst
- Risk or Operations Analytics Lead
- Analytics Manager or Strategy Lead
These pathways offer strong growth, global relevance, and competitive compensation.
Why This Role Is Career-Strong
- Exposure to enterprise-scale data and decision-making
- Strong foundation in analytics, BI, and stakeholder management
- Transferable skills across finance, technology, and consulting
- Long-term demand for analytics professionals
- Clear progression and learning opportunities
Selection Process
- Online application and resume screening
- Analytical or case-based assessment
- Technical interview covering SQL, BI, and analytics fundamentals
- Stakeholder communication and problem-solving discussion
- HR or culture-fit interview
Clarity of thought, structured analysis, and strong fundamentals improve success rates.
