Data Analyst (Product & Customer Analytics)

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.