Data Analyst (Product & Customer Analytics)

About the Role:

We are looking for a curious and analytical Data Analyst to help transform complex data into actionable insights that drive product, customer, and business decisions.

In this role, you will work closely with cross-functional teams to analyze customer behavior, product performance, and business trends while developing dashboards, reports, and data-driven recommendations. You will leverage modern analytics tools and statistical techniques to uncover opportunities, improve decision-making, and support strategic initiatives.

The ideal candidate combines strong SQL and statistical analysis skills with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.

Key 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.

Must have:

• 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.