Job Description
We are seeking a visionary Senior Strategic Data Analyst to lead our 2026 strategic planning initiative. As we prepare for the next major market expansion, you will be the architect of our data-driven decision-making framework, translating complex datasets into actionable roadmaps for executive leadership.
Why Join Us?
This is a high-impact role focused on the future. You will have the autonomy to shape the analytical foundation for our 2026 vision, working with cross-functional teams to identify growth opportunities and mitigate risks.
Key Responsibilities:
- Lead the end-to-end analysis of market trends and internal performance metrics to support the 2026 strategic roadmap.
- Develop advanced predictive models to forecast revenue growth and operational efficiency for the upcoming fiscal cycle.
- Collaborate with C-suite executives to translate raw data into compelling visual narratives and executive summaries.
- Oversee the integration of new data sources to ensure the accuracy and relevance of our 2026 projections.
- Mentor junior analysts and establish best practices for data governance and reporting standards.
Responsibilities
- Lead the end-to-end analysis of market trends and internal performance metrics to support the 2026 strategic roadmap.
- Develop advanced predictive models to forecast revenue growth and operational efficiency for the upcoming fiscal cycle.
- Collaborate with C-suite executives to translate raw data into compelling visual narratives and executive summaries.
- Oversee the integration of new data sources to ensure the accuracy and relevance of our 2026 projections.
- Mentor junior analysts and establish best practices for data governance and reporting standards.
Qualifications
- 7+ years of experience in data analysis, business intelligence, or strategic planning.
- Proven experience leading high-level strategic initiatives or projects with a long-term vision (e.g., 2026 planning).
- Advanced proficiency in SQL, Python, and visualization tools such as Tableau or PowerBI.
- Strong understanding of statistical modeling and forecasting methodologies.
- Bachelor’s degree in Data Science, Economics, Mathematics, or a related field.
- Excellent communication skills with the ability to present complex data to non-technical stakeholders.