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Minimum 5+ years of experience as a Data Analyst or in a similar role, with experience analyzing large datasets and delivering actionable insights. Candidates with experience in banking, e-commerce, or high-scale systems are preferred.
Analyze large datasets to identify trends, patterns, and correlations that provide insights into business performance.Perform statistical analysis and generate reports to support data-driven decision-making.Create clear and compelling data visualizations using tools such as Tableau, Power BI, or similar to communicate findings to stakeholders.Develop dashboards and interactive reports that provide real-time insights.Generate regular reports and present findings to business stakeholders, ensuring clarity and relevance to business objectives.Document analytical processes and methodologies to ensure reproducibility and consistency.Work closely with data scientists, AI engineers, and business stakeholders to understand data needs and provide technical support.Facilitate effective communication and collaboration between the AI and data teams and other departments.Ensure the accuracy, integrity, and consistency of data by performing regular data validation and cleansing.Develop and implement data management processes to support high-quality data analytics.Identify areas for improvement in data analysis processes and methodologies.Stay updated with the latest industry trends and technologies related to data analytics and visualization.
Bachelor’s degree in Data Science, Computer Science, Business Management, or relevant majors.
Minimum of 5 years of experience as Data analyst or similar roles.
Proven experience in analyzing large datasets and generating actionable insights.
Strong background in using data visualization tools (Tableau, Power BI).
Proficiency in data analysis and statistical tools (Excel, Google Sheet, Python).
Strong knowledge of databases and SQL for data querying and manipulation.
Excellent analytical and problem-solving skills with attention to detail.
Strong communication skills, both verbal and written, with the ability to convey complex data insights to non-technical stakeholders.
Understanding of data engineering and MLOps methodologies.
Awareness of security best practices in data environments.
Experience working with organizations that have a large customer base, such as banks and e-commerce companies.
Proficient in data visualization tools: Tableau, Power BI
Proficient in data analysis tools: Excel, Google Sheets, Python
Strong experience working with databases & SQL (querying and data manipulation)
Strong analytical thinking, problem-solving skills, and attention to detail
Good communication skills, with the ability to present insights to non-technical stakeholders
Familiarity with data engineering and MLOps
Awareness of data security best practices