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.