About the Role
The position involves analyzing complex datasets to identify trends, generating reports, and providing data-backed recommendations to improve business performance across marketing, sales, and product functions.
Responsibilities
- Extract, clean, and analyze large volumes of data from multiple sources
- Develop and maintain dashboards and reporting tools for business units
- Collaborate with marketing teams to assess campaign performance
- Identify data quality issues and work toward resolution
- Support sales analytics by tracking key performance metrics
- Translate business requirements into analytical projects
- Produce regular and ad-hoc reports for leadership review
- Use statistical methods to interpret data patterns
- Partner with product teams to evaluate feature usage and impact
- Document data definitions and analytical methodologies
- Present findings to stakeholders in clear, non-technical terms
- Monitor data pipeline integrity and performance
- Assist in forecasting models and trend projections
- Optimize queries for efficiency and scalability
- Ensure compliance with data governance policies
- Contribute to A/B testing design and analysis
- Track customer behavior across digital platforms
- Evaluate customer acquisition and retention metrics
- Support inventory and supply chain analytics as needed
- Maintain version control for analytical assets
- Improve data accessibility for non-technical teams
- Participate in cross-functional data initiatives
- Use SQL and Python for data manipulation and analysis
- Leverage visualization tools to communicate insights
- Respond to data-related requests from various departments
Compensation
Competitive salary with benefits package
Work Arrangement
Hybrid work model with partial remote flexibility
Team
Part of the analytics team supporting data-driven business decisions
What You’ll Do
- Perform deep-dive analyses to uncover business insights
- Build and automate reports that track key business metrics
- Work closely with stakeholders to define success criteria
- Use data to validate assumptions and guide decisions
- Ensure data consistency across reporting platforms
About the Team
- Collaborate with data engineers, scientists, and business partners
- Operate in a fast-paced environment with evolving priorities
- Focus on delivering scalable and reusable data solutions
- Value clarity, precision, and impact in all work products
- Promote a culture of data literacy across departments
Not available for this position
