Job Description
Senior Data Analyst
Hybrid
Responsibilities
- Partner with business stakeholders to understand sales objectives and identify opportunities for data-driven decision making.
- Analyze large customer and sales datasets to uncover trends, patterns, and revenue opportunities.
- Develop complex SQL queries to extract, manipulate, and analyze data.
- Apply statistical analysis to solve business problems and support strategic initiatives.
- Identify customer buying patterns, whitespace opportunities, and sales trends to improve commercial performance.
- Translate complex analytical findings into actionable recommendations for business leaders.
- Collaborate with cross-functional teams to support sales initiatives and business growth.
- Proactively identify opportunities to improve sales productivity through data and analytics.
Requirements
- Bachelor's degree in Data Analytics, Data Science, Computer Science, Mathematics, Statistics, or a related field, or equivalent professional experience.
- Advanced experience writing complex SQL queries and working with large relational databases.
- Strong understanding of statistical analysis and its application to solving business problems.
- Experience supporting sales, commercial, customer, or business analytics initiatives.
- Demonstrated ability to turn complex data into meaningful business insights.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent communication skills with the ability to present findings to technical and non-technical stakeholders.
- Self-starter who can work independently and proactively identify opportunities for improvement.
- Experience with Machine Learning or predictive analytics is preferred.
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