About the Role
We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic business decisions. You will work closely with cross-functional teams to identify trends, create reports, and develop actionable insights that improve operational efficiency and business performance.
Responsibilities
- Collect, clean, and validate data from multiple sources to ensure accuracy and consistency
- Analyze large datasets to identify trends, patterns, and business opportunities
- Develop dashboards, reports, and visualizations using BI tools such as Tableau or Power BI
- Write complex SQL queries to extract and manipulate data efficiently
- Collaborate with business stakeholders to understand reporting requirements and KPIs
- Perform statistical analysis and present findings in a clear and concise manner
- Support data-driven decision-making across departments, including finance, operations, marketing, and product teams
- Automate recurring reports and optimize data processes for improved efficiency
- Monitor data quality and troubleshoot inconsistencies or anomalies
- Document data definitions, workflows, and analytical processes
Required Qualifications
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, or related field
- Strong knowledge of SQL and database concepts
- Experience with Excel, Tableau, Power BI, or other visualization tools
- Familiarity with Python or R for data analysis is a plus
- Understanding of statistical analysis and data modeling techniques
- Excellent analytical, problem-solving, and communication skills
- Ability to work independently and collaboratively in a fast-paced environment
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of ETL processes and data warehousing concepts
- Familiarity with machine learning basics and predictive analytics
- Experience working with large-scale structured and unstructured datasets
