
Business Insights Leader
2 days ago
About the Role:
We are seeking a seasoned Lead Business Insight Specialist to join our organization. In this position, you will collaborate with senior leadership and cross-functional teams to derive actionable insights from data and develop strategic solutions to high-impact business challenges.
Key Responsibilities:
- Data Management: Collect, clean, and organize data from various sources for accuracy and consistency.
- Data Analysis: Conduct in-depth analyses to uncover trends, correlations, and patterns that inform business decisions.
- Reporting & Visualization: Create intuitive dashboards and reports using visualization tools for stakeholders.
- Predictive Modelling: Develop statistical and machine learning models for forecasting and decision optimization.
- Collaboration: Partner with product, sales, and engineering teams to understand analytics requirements and deliver impactful insights.
Qualifications:
- 5+ years of experience as a Business Analyst or equivalent role.
- Advanced proficiency in SQL, Python, and Excel.
- Hands-on experience with data visualization tools (Tableau, Power BI).
- Ability to work with large datasets, identify trends, and convert data into strategic insights.
- Strong problem-solving, analytical, and critical thinking skills.
Why Join Us?
- Opportunity to make a real-world impact by shaping solutions that drive business growth.
- Collaborate closely with the founding team and play a key role in scaling the organization.
- Be part of a fast-growing organization with a culture of innovation and continuous learning.
Responsibilities:
The Lead Business Insight Specialist will be responsible for:
- Deriving actionable insights from data to support business decisions.
- Identifying gaps in current processes and developing process improvements.
- Developing predictive models for forecasting and decision optimization.
- Partnering with cross-functional teams to deliver impactful insights.
Requirements:
- Advanced analytical and problem-solving skills.
- Proficiency in SQL, Python, and Excel.
- Experience with data visualization tools.
- Ability to work with large datasets and identify trends.
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