Job Description
We are seeking a visionary Senior Data Analyst to drive strategic decision-making within our corporate headquarters. You will be the bridge between raw data and high-level business strategy, utilizing advanced analytics to uncover trends, optimize operations, and fuel growth. This is a rare opportunity to lead analytical initiatives in a fast-paced, high-impact environment.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Hybrid work model (3 days in office) promoting work-life balance.
- Access to cutting-edge tools and professional development programs.
- A collaborative culture that values innovation and data-driven thinking.
Responsibilities
- Design and develop complex data models and dashboards to visualize key performance indicators (KPIs) for executive leadership.
- Conduct deep-dive statistical analyses to identify market trends, customer behavior patterns, and operational inefficiencies.
- Collaborate with cross-functional teams (Marketing, Finance, Operations) to translate business requirements into actionable data insights.
- Build automated reporting pipelines to reduce manual data processing time and improve data accuracy.
- Present findings and recommendations to stakeholders with clarity, precision, and persuasive storytelling.
- Identify new data sources and methodologies to expand the scope of our analytics capabilities.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Administration, or a related field; Master’s degree preferred.
- 5+ years of professional experience in data analysis, business intelligence, or a corporate analytics role.
- Expert proficiency in SQL for data extraction and manipulation.
- Strong experience with visualization tools (Tableau, PowerBI, or Looker).
- Proficiency in programming languages such as Python or R for advanced data manipulation.
- Proven track record of influencing business decisions through data-driven insights.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.