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.

DetailsOriginally posted on Himalayas