Senior Data Analyst

Job Description

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.