About the Role
The individual in this position will examine data patterns, create visualizations, and deliver summaries that help guide business choices. They will work closely with cross-functional teams to identify analytical needs and implement data-driven solutions.
Responsibilities
- Extract and analyze large volumes of data from multiple sources
- Identify trends and patterns to inform business strategies
- Develop and maintain dashboards for performance tracking
- Collaborate with departments to define key metrics
- Translate complex data findings into clear summaries
- Support data quality assurance and validation processes
- Create automated reporting tools to improve efficiency
- Conduct ad hoc analyses for operational needs
- Assist in the design of data collection methods
- Monitor data pipelines for accuracy and consistency
- Present insights to stakeholders through visual and written formats
- Evaluate the effectiveness of current reporting systems
- Refine analytical models based on feedback
- Ensure compliance with data governance policies
- Optimize queries for faster data retrieval
- Work with engineering teams to improve data infrastructure
- Document analytical methodologies and assumptions
- Participate in requirement-gathering sessions
- Maintain up-to-date knowledge of industry trends
- Support A/B testing initiatives with data analysis
Nice to Have
- Master’s degree in data science or related field
- Experience with machine learning applications
- Background in customer analytics or behavioral data
- Knowledge of cloud infrastructure providers such as AWS or GCP
- Familiarity with agile project management methods
- Experience with A/B testing frameworks
- Exposure to data governance frameworks
- Scripting experience beyond core analysis tools
- Understanding of product lifecycle analytics
- Prior work in a fast-paced startup environment
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative data team within a technology-focused department
Our Data Culture
- We prioritize data-informed decisions at every level of the organization
- Analysts are embedded in product and operational teams to drive impact
- We invest in tools and training to keep our methods current
Growth Opportunities
- Opportunities for advancement into senior analyst or data science roles
- Regular feedback and professional development planning
- Access to conferences and learning resources
Available for qualified candidates
