Job Purpose:
The Senior Data Analyst is responsible for analyzing and interpreting complex data to generate actionable insights that support strategic and operational decision-making. The role focuses on transforming data into meaningful information, developing performance metrics, and providing data-driven recommendations that enhance business performance and efficiency.=
Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and business opportunities.
- Translate business requirements into analytical models, KPIs, and reports.
- Design, build, and maintain dashboards and recurring performance reports.
- Ensure data accuracy, integrity, and consistency across all analytical outputs.
- Conduct ad-hoc and deep-dive analyses to support management and strategic initiatives.
- Collaborate with business, product, and technical teams to understand data needs and priorities.
- Present insights and findings in a clear and business-focused manner to stakeholders.
- Support data improvement initiatives and contribute to best practices in analytics.
- Guide and support junior data analysts when required.
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Engineering, or a related field.
- Minimum of 5 years of experience in data analysis, business intelligence, or a similar role.
- Strong proficiency in SQL and advanced Excel or Google Sheets.
- Hands-on experience with BI tools such as Power BI, Tableau, Looker, or equivalent.
- Strong analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex data insights clearly to non-technical stakeholders.
- Experience with Python or R is a plus.
