Responsibilities
- Analyze customer behavior, product performance, and business trends using large datasets.
- Build dashboards, reports, and visualizations that support business decision-making.
- Develop data models and queries to extract meaningful insights from multiple data sources.
- Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques.
- Collaborate with Product, Marketing, Engineering, and Business teams to support strategic initiatives.
- Translate complex analyses into clear, actionable recommendations for stakeholders.
- Support forecasting, segmentation, and customer behavior analysis.
- Contribute to long-term analytics projects from planning through execution.
- Continuously improve reporting processes, data quality, and analytics methodologies.
Requirements
- 3+ years of professional experience in Data Analytics, Business Analytics, or similar roles.
- Strong SQL skills and experience working with large datasets.
- Experience with Python, R, or another statistical programming language.
- Experience building dashboards and data visualizations.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience collaborating with cross-functional teams.
- Strong written and verbal English communication skills.
- Experience with Google Analytics (GA4).
- Strong SQL experience.
- Experience querying large datasets from multiple sources.
- Professional experience with Python or R.
- Experience building dashboards and reports.
- Experience performing statistical analysis.
- Strong understanding of customer or product analytics.
- Experience presenting insights to stakeholders.
- Strong data visualization skills.
- Experience cleaning, transforming, and validating data.
- Strong analytical thinking and business acumen.
Nice to Have
- Experience with BigQuery.
- Experience with Tableau, Looker, or Power BI.
- Experience with predictive analytics or customer segmentation.
- Experience with A/B testing.
- Experience working alongside Data Science teams.
- Retail or eCommerce analytics experience.
- Experience with Hadoop or Hive.
- Master's degree in a quantitative field.
Benefits
- Home office
- Competitive compensation based on experience
- Career plans to allow for extensive growth in the company
- International Projects
- Oowlish English Program (Technical and Conversational)
- Oowlish Fitness with Total Pass
- Games and Competitions
Work Arrangement
Remote (Worldwide)
Additional Information
- Proficient in English
- Excited to engage in remote collaboration for a worldwide presence
