About the Role
The role involves analyzing large volumes of data to identify trends, produce reports, and support strategic initiatives through quantitative analysis and cross-functional collaboration.
Responsibilities
- Collect and analyze large datasets to support business decisions
- Develop and maintain dashboards and reporting tools
- Identify data patterns and trends to inform strategy
- Collaborate with teams to define key performance metrics
- Ensure data accuracy and integrity across systems
- Translate business requirements into analytical frameworks
- Perform ad hoc analyses as requested by stakeholders
- Create visualizations to communicate findings effectively
- Support A/B testing and experimentation initiatives
- Monitor data pipelines for consistency and reliability
- Document analytical methods and data sources
- Optimize queries for performance and scalability
- Work with engineering teams to improve data infrastructure
- Validate data models for accuracy and usability
- Assist in forecasting and predictive modeling efforts
- Maintain data dictionaries and metadata documentation
- Troubleshoot data discrepancies and resolve issues
- Present insights to non-technical audiences
- Ensure compliance with data governance policies
- Stay current with industry trends in data analysis
Nice to Have
- Master’s degree in a relevant field
- Experience with big data technologies such as Spark or Hadoop
- Advanced knowledge of machine learning techniques
- Experience in geospatial data analysis
- Background in advertising or location-based services
- Familiarity with data privacy regulations
- Certification in data analytics or related discipline
- Public portfolio of data projects or visualizations
- Experience mentoring junior analysts
- Knowledge of mobile app or web analytics platforms
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexible scheduling
Team
Part of a collaborative analytics team within a technology-driven organization
About the Team
The analytics team works closely with product, marketing, and engineering to drive data-informed strategies. Team members are expected to combine technical expertise with business insight to deliver actionable recommendations.
What We Offer
Opportunities for professional growth, access to learning resources, and involvement in high-impact projects. The company supports innovation and values data ethics and transparency.
Available for qualified candidates
