Analytics Engineer

Philippines

Magic

Magic is an AI company that is working toward building safe AGI to accelerate humanity’s progress on the world’s most important problems.

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Analytics Engineer

Department: Finance

Employment Type: Full Time

Location: Philippines

Reporting To: Mike Rubin

Compensation: ₱65,000 - ₱75,000 / month


Description

About Magic
We are a leading modern outsourcing platform that connects SMBs to high-quality remote workers, from SDRs to virtual assistants and more. With roots in Silicon Valley, and backing from top venture capitalists, our workers are supercharged with a combination of the latest AI technology and training.
Background 

Our company came out of Y Combinator in 2015. Since then we've grown to 1000+ remote workers, with strong venture-backing (including Sequoia Capital) and over $30M in funding to date. We are fully remote across Asia and US time zones.

Know more about our Team via Magic's Careers Page
Why this role exists
By ensuring the availability of clean, structured data, the Analytics Engineer empowers the company to make data-driven decisions, optimize operations, and maintain a competitive edge in the remote work industry.

The impact you’ll make:

  • Data Infrastructure:
    • Design, build, and manage data pipelines and ETL processes for dependable data flow.
  • Analytics and Modeling:
    • Develop analytics models to find trends and patterns that can inform business decisions.
  • Stakeholder Collaboration:
    • Work with stakeholders to understand their data needs and turn these into clear technical plans.
  • Reporting and Visualization:
    • Create dashboards and reports that give stakeholders the insights they need, when they need them.
  • Performance Optimization:
    • Improve data systems for better performance and usability.


Requirements

  • 2+ years in data engineering or analytics roles.
  • Strong skills in SQL and Python or similar for data tasks.
  • Experience with data pipelines and ETL processes.
  • Knowledge of statistical modeling, machine learning, and analytics techniques.
  • Familiar with cloud data services (e.g., AWS, GCP, Azure).
  • Skilled in data visualization tools (e.g., Tableau, Power BI, Looker).
  • Good at solving problems and analyzing data.
  • Strong communication and team collaboration skills.


Benefits

Permanent Work-From-Home Forever! Zero commuting, zero traffic, and more time to do what you love. You get to pick the perfect spot to unleash your creativity and sharpen your problem-solving skills. The possibilities are endless, so let your imagination run wild!

Our day-to-day work puts mental health front and center! At Magic, we take mental health seriously. It's not just a catchy poster slogan - it's how we live our lives. We believe in listening to our minds and bodies, and if you need a break, take time to recharge and do something that brings you joy!

The synergy of Magic’s community: Monthly Town Hall. We believe in clear, transparent communication across all departments, whether you’re an executive, a manager, or an individual contributor. During our monthly Town Halls, we share milestones, company updates, and more.
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Tags: AWS Azure Data pipelines Data visualization Engineering ETL Finance GCP Looker Machine Learning Pipelines Power BI Python SQL Statistical modeling Statistics Tableau

Perks/benefits: Career development Competitive pay Health care

Regions: Remote/Anywhere Asia/Pacific
Country: Philippines

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