About the Role
The role involves analyzing complex datasets to uncover insights that drive go-to-market strategies, improve customer acquisition, and optimize revenue operations.
Responsibilities
- Analyze sales and marketing performance data to identify trends and opportunities
- Develop dashboards and reports for tracking key business metrics
- Collaborate with cross-functional teams to define data requirements
- Translate business questions into analytical frameworks
- Support A/B testing and experiment design for go-to-market initiatives
- Maintain data accuracy and integrity across reporting systems
- Produce regular performance summaries for leadership review
- Identify inefficiencies in current processes using data analysis
- Create predictive models to forecast customer behavior
- Work closely with marketing to measure campaign effectiveness
- Assist in refining customer segmentation strategies
- Evaluate channel performance and recommend optimization tactics
- Use SQL extensively for data extraction and analysis
- Apply statistical methods to validate findings
- Ensure data privacy and compliance in all reporting
- Document analytical processes and methodologies
- Present insights to stakeholders with clear visualizations
- Support budgeting and forecasting activities
- Monitor data quality and resolve discrepancies
- Stay current with analytics tools and industry trends
- Improve data accessibility for non-technical teams
- Contribute to data governance practices
- Streamline reporting workflows for efficiency
- Assist in onboarding new team members to data systems
- Participate in strategic planning sessions
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible remote options
Team
Part of the Growth and Revenue team focused on data-driven decision-making
What We Value
- Curiosity and a drive to ask the right questions
- Ownership of projects from start to finish
- Clear communication of complex data concepts
- Collaborative mindset with team-first attitude
- Commitment to continuous learning and improvement
Technology Stack
- Primary use of Looker for data visualization
- BigQuery as the main data warehouse
- Integration with Salesforce and HubSpot
- Use of Git for version control
- Python and R for advanced analytics
Available for qualified candidates
