Company: |
NEURON |
Job Role: |
Data Analyst. |
Experience: |
(2-3 years). |
Vacancy: |
20+ |
Qualification: |
Bachelor degree in computer science, statistics, analytics, or other relevant fields. |
Salary: |
$100,000 SGD/year. |
Location: |
Singapore. |
Join us on Telegram |
Click Here |
Apply Mode: |
(Online) |
Deadline: |
Not Mentioned |
About the Company:
Neuron is the leading shared micro mobility operator in Australia and New Zealand and the company has also expanded into the United Kingdom and more recently Korea. We work with cities to connect people and places in a safe, convenient and fun way. We want to help the world build a more prosperous and sustainable future through new ways of moving and connecting. Neuron launched the world's first docked e-scooter in Singapore in 2016 and created the first shared e-scooter program in 2017. Aiming to build safe and shareable electric scooters, we develop our own industry-leading models. Moreover, we set the industry standard for technology that manages them. Neuron has launched a range of world firsts, especially when it comes to safety. We currently operate in twelve locations across Australia and New Zealand, three in the United Kingdom, and recently launched in Seoul, Korea. We are expanding and are currently looking for our 3rd Data Analyst hire for this year!
What You’ll Do:
- Partners with cross-functional teams (Product, Operations, Finance, Engineering, Marketing) to understand business requirements and provide actionable recommendations
- Create data tools and pipelines for tracking key performance metrics across the company for the C-suite and for dedicated metrics for the product, operations, and finance teams
- Design and implement Tableau dashboards that provide real-time insight into adoption rates, revenue generation, power usage, user feedback, retention, payments, and fraud in cities.
- Take action and make decisions based on data insights that will optimize user growth, brand sentiment, and marketing effectiveness
- Analyze, comprehend, and respond to the needs of key stakeholders in data management
- Conduct growth experiments for conversion rate optimization and report on the results
What You'll Need:
- 3+ years of total experience with 2+ years exclusively in the Data Analysis domain
- Qualifications in computer science, statistics, analytics, or other relevant fields
- Python and SQL experience are required. Additionally, we use Tableau for visualization
- Developing machine learning models is an added advantage
- Experience with two-sided marketplaces, e.g., ride hailing, food delivery, e-commerce, is a plus
- Experience driving and implementing data solutions to meet business needs
- Communication in Chinese is preferred for effective interaction with the back-end engineering team in China
- Working in a fast-paced environment with ambiguity is a plus
- Managing and communicating with various stakeholders across teams
- Having a growth mindset and a keen interest in shared mobility operations are essentials for this role
Our Values.
Make It Happen.
Drive to deliver results with the highest impact and be committed to follow through. Continuously optimise through collaboration to achieve the best collective outcomes.
Be Proactive.
Take active steps and be the driver to improve things, for yourself, your team and the cities we serve. Relish the chance if this leads you outside your normal scope.
Trust Facts Over Opinions.
Decisions should be evidence-based. Assess situations fairly, using reason and logic rather than unverified opinions wherever possible.
Stay Curious.
Ask questions, challenge assumptions, learn from mistakes and be ready to leave behind what you thought you knew before.
Do More With Less.
Both time and resources are finite. Balance your priorities and think strategically about how you can maximise your impact and the return on investment of your resources.
If you are passionate about making a real-time impact and want the opportunity to play an instrumental part in our growth story, we want you to ride for our team!
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How to Apply
Click on the Below link, it will redirect you to source Page and apply there.
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