Product Data Analyst, SQL, Python

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Convert product and business requirements into analytical inquiries and provide actionable insights.

• Evaluate product performance, user interactions, and business metrics utilizing SQL, Python, and statistical methods.

• Develop data pipelines, automation scripts, and analytical instruments.

• Construct self-service dashboards and reports.

• Implement data validation and quality assurance checks to maintain accuracy and integrity.

• Assess A/B tests and product modifications to gauge their impact.

• Partner with Product, Data, Business, leadership, and cross-functional stakeholders to share findings and suggest subsequent actions.

• Record analytics projects, tools, and methodologies.

• Take ownership of analytical outputs, ensuring they remain accurate, pertinent, and aligned with business requirements.

• Conduct ad-hoc analyses and in-depth investigations on strategic inquiries.

⛳️ Requirements

• Proficient in SQL for data extraction, transformation, and analysis.

• Experienced in Python, including Pandas, NumPy, and Scikit-learn, for data analysis, modeling, and automation.

• Strong understanding of statistical techniques and A/B testing.

• Skilled in data visualization tools such as Tableau, Power BI, or Looker.

• Experienced in constructing and maintaining data pipelines and ETL processes.

• Capable of translating business inquiries into analytical frameworks and structured problem-solving methods.

• Experience in analyzing product performance, user behavior, and business metrics.

• Ability to derive actionable insights and data-driven recommendations from intricate datasets.

🏝️ Benefits

• Long Service Benefits (anniversary bonus).

• Mental health support.

• HMO medical coverage.

• Generous leave benefits.

• Life insurance for the employee and family.

• Annual learning and development budget.

• Access to the 360 Learning platform.

• Supportive environment prioritizing work-life balance and personal time.