Data Analyst

Key Responsibilities

We are looking for a Data Analyst to provide appropriate data, analysis, and insights, empowering product and business organizations to make data-driven decisions. You will collaborate closely with teams during product development to establish target metrics, formulate hypotheses, propose experimental methods, and analyze results to define actionable next steps.

A core part of this role involves efficiently visualizing important data, building, and operating comprehensive dashboards. You will utilize SQL and Python to extract and preprocess data, uncovering valuable insights that benefit both the business and its customers through thorough visualization and analysis. Furthermore, you will partner with data engineers to model and implement processes for loading data into the Data Warehouse and Data Mart.

Qualifications

• Over 3 years of experience in analyzing web or mobile products.
• Profound understanding of key e-commerce and SaaS metrics and analytical methodologies (e.g., GMV, MRR, LTV, Cohort, Retention).
• Foundational knowledge of statistics.
• Proficiency in SQL and Python for data analysis and preprocessing.
• Ability to understand data from a business perspective, applying logical and analytical thinking to derive decisions and action items.
• Strong communication skills to effectively convey complex data insights to non-data professionals.

Preferred Qualifications

• Experience with Product Analytics (PA) tools such as Mixpanel or Amplitude.
• Demonstrated expertise and deep understanding of data visualization, coupled with experience using BI tools (e.g., Tableau, Redash, Superset).
• Experience in big data analysis utilizing parallel and distributed processing-based libraries.

Key skills/competency

• Data Analysis
• SQL
• Python
• E-commerce Metrics
• SaaS Metrics
• Data Visualization
• Dashboarding
• A/B Testing
• Statistical Analysis
• Communication Skills