Senior Data Analyst

Category: Engineering
Location:

• Turn messy data into insights — explore, profile, and reconcile datasets so analyses are reliable.
• Solve ambiguous problems with data — build segments, proxies, or intersections across datasets when clean definitionsdon’t exist.
• Work closely with product and engineering to define data ingredients for new applications and experiments.
• Deliver fast analytical iterations using Snowflake, SQL, Python, and Jupyter.
• Use AI tools to accelerate analysis, coding, and debugging.
• Operationalize repeatable work using Python, Airflow, and Git.
• Maintain data quality through validation checks, documentation, and careful analysis.
• Communicate insights clearly, focusing on signal, trade-offs, and business impact.

Requirements

• Strong SQL & Python experience
• Comfortable with exploratory analysis
• Ability to find signal in messy or incomplete datasets
• Experience turning analyses into repeatable workflows (Airflow, Git)
• Strong instincts for data quality and validation
• Curiosity, clear communication, and a practical problem-solving mindset
• Comfortable taking ownership of problems and working independently to move analysis forward
• Staying informed on industry and technology trends to better contextualize data insights

Benefits

• Competitive Salary Package: Receive a pay package that matches your skills and experience.
• Vacation and Sick Leave credits: Enjoy vacation and sick leave credits to maintain work-life balance.
• Health Coverage: Get medical, dental, and vision insurance for you and your dependents.
• Government-Mandated Benefits: Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.
• Learning Opportunities: Access training, certifications, and mentorship to grow your career.
• Team Engagement: Join team-building activities and wellness programs.
• Modern Tools: Use the latest technology to excel in your role.
• Career Growth: Clear paths for promotion and professional development.
• Inclusive Culture: Be part of a diverse, supportive, and collaborative global team.

Details

Originally posted on Himalayas