Data Analyst - Marketplace

Jakarta

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Gojek
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Posted 1 month ago

About the Role
If you’re a data analyst at heart, this role may very well be for you! As our Data Analyst for the Marketplace team, you’ll be mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contributions. You’ll get to work with a talented troop of business leads, product managers and fellow data folks, and spend a majority of your time diving deep into some of the most challenging analytical problems in the Gojek Marketplace - the brain that powers all of Gojek’s services - including Matchmaking, Supply, Demand, and Pricing streams.

What You Will Do

  • Design and analyze experiments
  • Perform exploratory data analysis using SQL and R/Python and present interesting findings to business stakeholders to drive business and strategic decisions
  • Build self-serve data products, such as dashboards and tables to reduce time to insights
  • Perform advanced analytics when needed (i.e. building machine learning models using R/Python, or data web apps using Shiny/Dash)

What You Will Need

  • At least 2 years of practical experience in SQL and R/Python (Heads up: there'll be a technical phone screen for this!)
  • Prior experience with applied statistics, and experimental design (Heads up: there'll also be a technical phone screen for this!)
  • Able to tell a coherent data narrative using visualization tools, and set best practices in data visualization to convey a product insight through impactful graphs
  • Proven ability to recognize business needs and communicate with multiple stakeholders including PMs, business and operations
  • Balance attention to detail with swift execution
  • Bonus points for prior experience with supervised & unsupervised learning and marketplace supply/demand
About the Team
Our Marketplace Business Intelligence (BI) team leverages its expertise and skills in data and analytics to solve some of Gojek’s core and most crucial issues. Gojek - a marketplace platform for ride, food delivery and logistic services - deals with issues related to matchmaking, supply, demand and pricing on a daily basis. What’s the best driver incentive scheme given budget and supply targets? How can pricing be adjusted to maximize revenue? Why are drivers with certain characteristics more likely to complete long-distance trips than others? These are some of the complex questions that our team has to answer to ensure the reliability of its marketplace.
As a team, we’re concerned not only with the growth of the company, but each other’s personal growth and wellbeing, too. With WFH becoming more commonplace, our team works to prioritize different ways to maintain a healthy work-life balance more than ever before. Badminton and table tennis are current favorites, and we all share a love of hiking. That said, we do fancy ourselves a good Netflix binge every now and then 😉.

About Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business and MSMEs.
As of 2018, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
Job tags: Business Intelligence Machine Learning Python R SQL
Job region(s): Asia/Pacific
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