Data Analyst

Data Analyst Associate

Key Responsibilities

Data Collection & Management

• Gather, clean and maintain structured and unstructured datasets from multiple sources.
• Ensure data integrity and accuracy by identifying discrepancies and inconsistencies.
• Document and maintain data definitions, metrics, and tracking implementations.

Analysis & Reporting

• Conduct exploratory data analysis (EDA) to uncover trends, correlations, and insights.
• Monitor key product metrics (e.g., retention, engagement, conversion rates) and report on performance.
• Create dashboards and automated reports using BI tools (e.g., Looker, Tableau, Power BI).

Product & Funnel Analysis

• Analyze user journeys, drop-off points, and behavioral patterns to optimize product flows.
• Identify opportunities to improve product features through data-backed insights.
• Collaborate with the Product Manager to define success metrics for new features and updates.

Cross-Functional Collaboration

• Work closely with Product, Engineering and Marketing teams to provide data insights.
• Assist in setting up tracking and event-based analytics (e.g., Google Analytics, Mixpanel, Amplitude).
• Support ad-hoc data requests from different teams to inform business decisions.

Who You Are

Analytical Thinker:

Detail-Oriented:

Curious & Proactive:

Education & Experience

• Bachelor’s degree in 

  Data Science, Statistics, Mathematics, Economics, Computer Science

  , or a related field.
• 0-2 years of experience in data analysis, reporting, or business intelligence (internships count!)

Technical Skills

• Proficiency in 

  SQL

   for querying and manipulating data.
• Experience with 

  Excel/Google Sheets

   for data visualization and analysis.
• Familiarity with 

  BI tools

   like Tableau, Power BI, or Looker (bonus).
• Knowledge of 

  Google Analytics, Mixpanel, or Amplitude

   is a plus.

Soft Skills

• Strong problem-solving and critical-thinking skills.
• Ability to work in a fast-paced, dynamic environment.
• Eagerness to learn and grow in the field of data analytics.