We are seeking a detail-oriented and analytical Data Analyst to support business decision-making through data extraction, transformation, visualization, and insights generation. The ideal candidate will have strong technical skills in SQL, Excel, and BI tools, with the ability to interpret complex datasets and translate them into clear, actionable insights.
Key Responsibilities
- Develop and execute complex SQL queries to extract and manipulate data from various databases.
- Perform advanced Excel-based data analysis, including data modeling, pivoting, and formula-driven insights.
- Build and maintain dashboards and interactive reports using Power BI or similar data visualization tools.
- Conduct end-to-end data analysis to support business strategies, performance tracking, and operational improvement initiatives.
- Collaborate with cross-functional teams to understand business requirements and develop analytical solutions.
- Identify trends, anomalies, and opportunities within datasets, presenting findings clearly to stakeholders.
- (Optional but valuable) Utilize Python libraries such as pandas, numpy, and matplotlib for deeper analytics and automation of data processes.
- Ensure accuracy, consistency, and data integrity across all reporting outputs.
Minimum Requirements
- Proficiency in SQL for querying and data manipulation.
- Advanced Excel skills, including formulas, pivot tables, and data modeling.
- Experience with Power BI or a comparable business intelligence/reporting tool.
- Basic to intermediate knowledge of Python (pandas, numpy, basic data visualization) is considered a strong advantage.
- Previous experience in the financial industry or B2C environment preferred.
- 2 to 8 years of relevant experience in data analysis.
Preferred Competencies
- Strong analytical and problemsolving skills.
- High attention to detail and data accuracy.
- Ability to translate technical findings into business insights.
- Effective communication and stakeholder management skills.
- Ability to manage multiple projects and meet deadlines.
