Data Analyst

Job Overview: We are currently seeking a skilled Data Analyst to join our team! As a Data Analyst, you will analyze data, generate actionable insights, and support business decision-making within the fintech domain. Key Responsibilities: · Analyze large datasets to identify trends, patterns, and business opportunities across fintech products and services. · Design and execute data analysis projects to support business initiatives and answer key stakeholder questions. · Collaborate with cross-functional teams to gather business requirements, define data needs, and deliver analytical solutions. · Perform exploratory data analysis (EDA) to uncover insights and monitor fintech-related KPIs. · Develop and maintain dashboards, reports, and visualizations to communicate business performance effectively. · Validate data accuracy and perform quality checks to ensure reliable reporting. · Assist in improving existing reports, dashboards, and analytical processes to increase efficiency and accuracy. · Support ad hoc analysis and provide recommendations based on data findings. · Stay updated on industry trends and best practices in data analytics and fintech. Qualifications: · Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field. · 3–5 years of experience in a data analysis role, preferably within the fintech or financial services industry. · Strong proficiency in SQL for querying and transforming data. · Experience with Python (or another programming language) for data analysis and automation. · Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar. · Solid understanding of data analysis techniques and basic statistical concepts. · Strong analytical and problem-solving skills with attention to detail. · Excellent communication skills with the ability to present insights to technical and non-technical stakeholders. · Ability to manage multiple priorities in a fast-paced environment. Nice to Have: · Experience working with cloud data warehouses such as Redshift, BigQuery, Snowflake, or Athena. · Familiarity with ETL processes and data modeling concepts. · Experience working with fintech or digital financial products. · Basic knowledge of predictive analytics or machine learning concepts. Additional Requirements: · Strong ownership and accountability for delivering accurate and timely analysis. · Ability to collaborate effectively with cross-functional teams. · Eagerness to learn new tools, technologies, and business domains. · Ability to work independently while contributing to team goals.