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.
DetailsOriginally posted on Himalayas
