Senior Data Analyst
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
This is a remote position.
- 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 definitions dont 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.
Required Skills:
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
