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Data Analyst | Join a multi-cultural team of passionate professionals eager to disrupt the FinTech space

Data Analyst
Full-time

on 2018-03-28

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23 requested to visit

Data Analyst | Join a multi-cultural team of passionate professionals eager to disrupt the FinTech space

Full-time
Full-time

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Nur' Amelita Ahmad

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GoBear's members

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What we do

We don’t usually toot our own horn but (seeing as you might work here soon) we thought you might like to know GoBear is Asia’s first and only meta search engine for financial products. We spend our days trying to figure out how to make comparing insurance and banking products as awesome as possible. Our happy place is where users don’t even have to think twice – they can choose a financial product that’s right for them and feel confident with their choice (we know that’s a nerdy happy place, but we can’t help what we love). We’re looking for people who break the mould; who’ve got a hankering to do something completely different. Obviously we want our bears to be smart and hard working but, more importantly, we want people on our team who love technology, who love their job, and who aren’t afraid to fail while trying something completely crazy. If that all sounds up your alley, then read on.

Why we do

In a nutshell, GoBear makes it simple for you to compare insurance plans and financial products to find the one that’s right for you. We take all the complicated and, let’s face it, boring information from banks and insurance providers, make it easy-to-understand and put it on your computer screen, tablet or phone in a way that makes it easy for you to compare apples with apples. That’s it. No trick or surprises from us. (Except the good kind of surprises. We like those.)

How we do

What’s so great about GoBear? We don’t like to toot our own horn too often, but seeing as you asked… - We aren’t in cahoots with any banks or insurance providers so the results we show you are completely unbiased. - We save you money by showing you the best deals. - We make it easy to compare so you can make informed choices. - You don’t need to shop around - we show you the best deals from the key players. - And we’re completely free for you to use – bonus! Go bare or go home. CAREERS AT GOBEAR We’re a small but energetic bunch who believes in creating a fun comparison experience for everyone. We are currently looking for individuals who are as passionate as ourselves about this great and new project, who are also bright, dedicated, who love technology, and who are exceptional in their field. We thrive on interpersonal interaction with bright minds and the newest technologies from a variety of disciplines. We have ambitious ideas and plans, and need the right people to help develop and execute them! We will be expanding throughout SEA and need great people to work with us. If you think that you're a fit, let’s have a chat. We'd love to find out how you can help make our product better.

As a new team member

Our Data Analyst is the person responsible for enhancing our analytics and performance management framework. The Data Analyst will be responsible for carrying out reporting and analysis on datasets and provide insights to help improve the GoBear business model. The ideal candidate should be an eager learner, have prior experience in Quantitative domains such as analytics and should be keen to work in a dynamic start-up. Responsibilities: • Implement statistical and machine learning techniques and create insights from data. • Use Google Big Query, Compute Engines, Dataproc and other Google Cloud Platform features to automate various analytics processes. 
 • Use data visualization tools such as Tableau, Data Studio, Klipfolio etc to provide actionable insights to both internal teams and external partners. 
 • Collaborate with business owners to understand business problems. 
 • Complete ad-hoc projects and tasks as required. 
 • Work hands-on and share knowledge between team members. 
 Requirements: • Bachelors or Masters in quantitative disciplines such as mathematics, engineering, computer science, • statistics or economics, with 3-6 years relevant experience. • Proficient in machine learning and statistical techniques. • Proficient in R, Python and SQL. 
 • Experience with Google Cloud Platform features will be an advantage. 
 • Proficient in oral and written communication in English, as well as effective interpersonal and 
 communication skills. 
 • Good time management and prioritization skills. 
 What we offer Look forward to a pleasant, vibrant work environment in one of the fastest growing online brands in Asia. You will be learning from a multi-cultural team of passionate professionals who are eager to disrupt the FinTech space. Our work makes us innovative, agile, brave and result-driven but we also just love what we do. Openness and transparency form the core value of our company culture. We value freedom and high performance rather than processes and procedures. We like it when you show curiosity for new ideas that create a difference and discover practical solutions to tough problems. The Bear Cave is located in the CBD close to landmarks such as the Fullerton Hotel and Esplanade and is conveniently situated a short walk away from Raffles Place MRT. Click "Want to Visit" to apply! Do fill out your Wantedly profile so we can get to know you better :)

What we do

We don’t usually toot our own horn but (seeing as you might work here soon) we thought you might like to know GoBear is Asia’s first and only meta search engine for financial products. We spend our days trying to figure out how to make comparing insurance and banking products as awesome as possible. Our happy place is where users don’t even have to think twice – they can choose a financial product that’s right for them and feel confident with their choice (we know that’s a nerdy happy place, but we can’t help what we love). We’re looking for people who break the mould; who’ve got a hankering to do something completely different. Obviously we want our bears to be smart and hard working but, more importantly, we want people on our team who love technology, who love their job, and who aren’t afraid to fail while trying something completely crazy. If that all sounds up your alley, then read on.

Why we do

In a nutshell, GoBear makes it simple for you to compare insurance plans and financial products to find the one that’s right for you. We take all the complicated and, let’s face it, boring information from banks and insurance providers, make it easy-to-understand and put it on your computer screen, tablet or phone in a way that makes it easy for you to compare apples with apples. That’s it. No trick or surprises from us. (Except the good kind of surprises. We like those.)

How we do

What’s so great about GoBear? We don’t like to toot our own horn too often, but seeing as you asked… - We aren’t in cahoots with any banks or insurance providers so the results we show you are completely unbiased. - We save you money by showing you the best deals. - We make it easy to compare so you can make informed choices. - You don’t need to shop around - we show you the best deals from the key players. - And we’re completely free for you to use – bonus! Go bare or go home. CAREERS AT GOBEAR We’re a small but energetic bunch who believes in creating a fun comparison experience for everyone. We are currently looking for individuals who are as passionate as ourselves about this great and new project, who are also bright, dedicated, who love technology, and who are exceptional in their field. We thrive on interpersonal interaction with bright minds and the newest technologies from a variety of disciplines. We have ambitious ideas and plans, and need the right people to help develop and execute them! We will be expanding throughout SEA and need great people to work with us. If you think that you're a fit, let’s have a chat. We'd love to find out how you can help make our product better.

As a new team member

Our Data Analyst is the person responsible for enhancing our analytics and performance management framework. The Data Analyst will be responsible for carrying out reporting and analysis on datasets and provide insights to help improve the GoBear business model. The ideal candidate should be an eager learner, have prior experience in Quantitative domains such as analytics and should be keen to work in a dynamic start-up. Responsibilities: • Implement statistical and machine learning techniques and create insights from data. • Use Google Big Query, Compute Engines, Dataproc and other Google Cloud Platform features to automate various analytics processes. 
 • Use data visualization tools such as Tableau, Data Studio, Klipfolio etc to provide actionable insights to both internal teams and external partners. 
 • Collaborate with business owners to understand business problems. 
 • Complete ad-hoc projects and tasks as required. 
 • Work hands-on and share knowledge between team members. 
 Requirements: • Bachelors or Masters in quantitative disciplines such as mathematics, engineering, computer science, • statistics or economics, with 3-6 years relevant experience. • Proficient in machine learning and statistical techniques. • Proficient in R, Python and SQL. 
 • Experience with Google Cloud Platform features will be an advantage. 
 • Proficient in oral and written communication in English, as well as effective interpersonal and 
 communication skills. 
 • Good time management and prioritization skills. 
 What we offer Look forward to a pleasant, vibrant work environment in one of the fastest growing online brands in Asia. You will be learning from a multi-cultural team of passionate professionals who are eager to disrupt the FinTech space. Our work makes us innovative, agile, brave and result-driven but we also just love what we do. Openness and transparency form the core value of our company culture. We value freedom and high performance rather than processes and procedures. We like it when you show curiosity for new ideas that create a difference and discover practical solutions to tough problems. The Bear Cave is located in the CBD close to landmarks such as the Fullerton Hotel and Esplanade and is conveniently situated a short walk away from Raffles Place MRT. Click "Want to Visit" to apply! Do fill out your Wantedly profile so we can get to know you better :)
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What happens after you apply?

  1. ApplyClick "Want to Visit"
  2. Wait for a reply
  3. Set a date
  4. Meet up

Company info

Founded on 03/2015

Bank of China Building, 4 Battery Road, level 28 - Singapore 049908