About the Role

We are seeking a detail-oriented and analytical Data Analyst to transform Customer Service and operational raw data into actionable insights that support strategic decision-making across the organization and within Customer Service. In this role, you will work closely with cross-functional partners to interpret complex datasets, build reports, and develop scalable processes for ongoing analytics needs.

What you’ll do

Data Exploration & Analysis

• Collect, clean, and validate large datasets from multiple internal and external sources.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Build and maintain dashboards, visualizations, and reporting tools to support leadership and stakeholders.

Business Insights & Decision Support

• Translate data findings into clear, concise business insights that drive operational and strategic decisions.
• Partner with product, engineering, finance, and operations teams to understand analytical needs and provide data-driven recommendations.
• Perform ad-hoc analyses to support initiatives related to growth, product performance, and operational efficiency.

Data Quality & Process Improvement

• Develop and maintain scalable data pipelines and automated reporting workflows.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify opportunities to improve data collection and measurement frameworks.
  
  

Collaboration & Communication

• Present insights and recommendations to technical and non-technical audiences.
• Work closely with stakeholders to define metrics, KPIs, and reporting cadences.
• Document methodologies, data dictionaries, and analytics processes.
  
  

About You

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• 3+ years of experience in data analysis or business analytics.
• Strong proficiency in SQL, including writing complex queries.
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI, Mode).
• Proficiency with Python or R for data manipulation and analysis.
• Strong analytical thinking, problem-solving, and attention to detail.
• Ability to communicate complex findings to wide-ranging audiences.
  
  

Preferred Qualifications

• Experience working with large, complex datasets or cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, DataBricks).
• Familiarity with A/B testing methodologies.
• Knowledge of statistical modeling, forecasting, or machine learning concepts.
• Experience working in an e-commerce, marketplace, or tech environment.
• Experience working with customer service data.
  
  
• Data-driven mindset with excellent critical-thinking skills.
• Strong prioritization and project management abilities.
• Curiosity and eagerness to dig into data to uncover insights.
• Ability to work independently in a fast-paced environment.
• Delivering reliable, well-structured insights that teams use to make better decisions.
• Building scalable dashboards and reports that reduce manual work.
• Improving data quality and analytical rigor across teams.
• Being a trusted partner for data questions and strategic analysis.