Senior Data Analyst

Key Responsibilities:

• Analyze complex and large-scale datasets to uncover hidden patterns, correlations, and

actionable insights that drive business growth.

• Develop analytical models, dashboards, and performance reports to support strategic

planning and operational efficiency across functions.

• Continuously monitor key business metrics and KPIs; design automated alert systems to

flag significant deviations or trends in real time.

• Collaborate closely with Product, Marketing, Operations, and Finance teams to

understand business needs and deliver impactful analytical solutions.

• Conduct deep-dive analyses into customer behavior, product performance, or

operational bottlenecks, and present data-backed insights with clear recommendations

to senior leadership.

• Identify inconsistencies, outliers, and gaps in data; work on improving data quality and

propose scalable solutions for better data governance.

• Support business with ad-hoc analytics, providing quick, reliable insights for time-

sensitive decisions.

• Demonstrate a strong analytical mindset with a passion for continuous learning,

adaptability, and the ability to lead data-driven initiatives proactively.

Required Qualifications:

• Bachelors degree in a quantitative discipline: Mathematics, Statistics, Economics,

Engineering, or Computer Science.

• 5–7 years of experience in a Business Analyst / Data Analyst role in fintech or a high-

growth tech company.

• Strong proficiency in SQL for data querying and analysis.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Hands-on with Excel and BI reporting platforms.
• Strong analytical and critical thinking skills, with a high attention to detail.
• Ability to manage multiple projects and meet tight deadlines.
• Excellent verbal and written communication skills — capable of storytelling with data.

Preferred Qualifications:

• Experience with Python for advanced data analysis.
• Exposure to cloud data platforms like AWS Athena, S3 and EC2.
• Understanding of digital payment ecosystems or lending/UPI domains.