Make Data Delicious: Drive Growth in the Online Ordering Industry
Your insights could shape the future of food tech. Help optimize ordering, payments, and strategy through powerful, data-driven decisions. Use your analytical skills to make your mark in the online ordering space-all while enjoying the flexibility of working from home. Take the lead in data, stay rooted locally, and think globally.
Job Description
As a Data Analyst, you’ll take ownership of data initiatives that inform business growth, optimize decision-making, and support teams with insights, dashboards, and solutions that fuel performance in the ordering and payments ecosystem.
Job Overview
Employment Type: Full-time
Shift: Day Shift (semi-flexible schedule)
Work Setup: Permanent WFH
Exciting Perks Await!
Day 1 HMO coverage with free dependent
Competitive Salary Package
Permanent WFH arrangement
Day shift (semi-flexible) schedule
Fixed weekends off
Unlimited upskilling through Emapta Academy courses (Want to know more? Visit https://bit.ly/EmaptaTrainingCalendar)
Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!
Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)
Unlimited opportunities for employee referral incentives across the organization
Standard government and Emapta benefits
Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)
Fun engagement activities for employees
Mentorship and exposure to global leaders and teams
Career growth opportunities
Diverse and supportive work environment
The Qualifications We Seek
Strong engineering background, especially in back-end and data systems
5+ years of experience working with data in an ordering and payments environment
Expert-level proficiency in Python and SQL
Excellent English written and verbal communication skills
Behavioral Competencies and Attributes:
Hypothesis Testing: Proficiency in using statistical methods to validate ideas
Problem-Solving: Proven ability to apply data solutions to real business challenges
Innovative Mindset: Comfortable exploring new tools and techniques
Curiosity: Deep interest in uncovering actionable insights through data
Adaptability: Flexible and open to shifting priorities and data demands
Your Daily Tasks
Deliver technical data solutions in collaboration with the Growth squad and Head of Engineering
Help teams understand insights from data or enable self-service analytics
Define, scope, and plan analytics projects to meet business requirements
Perform business analysis including ad hoc requests, pipeline building, and dataset construction
Provide strategic recommendations and derive insights from data
Build and enhance performance dashboards for reporting and monitoring
Apply hypothesis testing and data exploration for deeper insights
Tackle business problems using innovative, data-driven methods
Stay curious and adaptive in response to evolving data requirements
About the Client: Powering the Future of F&B Through Smart Ordering
Our client is a leading player in the food and beverage tech space, simplifying online ordering for thousands of venues and suppliers. With a focus on automation, payments, and actionable data, their platform transforms how the industry orders and operates. By joining their team, you’ll be contributing to a product that’s reshaping the F&B supply chain worldwide.
Who Are We: Welcome to Emapta Philippines!
Join a team that values camaraderie, excellence, and growth. Recognized as one of the Top 20 Dream Companies of Filipinos in 2024, Emapta stands proudly alongside industry giants, offering stability and exciting career opportunities. Your career flourishes here with competitive compensation, international clients, and a work culture focused on collaboration and innovation. Work with global clients across industries, supported by a stable foundation and like-minded professionals passionate about making an impact. Apply now and be part of the #EmaptaEra!
Specialities
Tagged as: Business Analyst, Data Scientist, Director, Internship, Lead, Philippines-Based, Python, RAG, Reinforcement Learning, Remote, Senior, SQL, TensorFlow
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