Neat (HK)

Neat (HK) - Data Analyst

Entry Level
Hong Kong
Data Analyst
Back to Jobs

About Us

At Neat, we’re building a solution that’s friendlier, faster, more modern than a bank. We have users in over 100 countries around the globe, relying on our solutions to manage their business finances. Want to help us achieve this vision? We’ve built a place where you’ll love doing it! Our culture of transparency and openness means you’ll have lots of impact, our test-driven development approach means we move quickly while maintaining super high standards for quality of code and design, and our commitment to your professional growth means you’ll always be learning.

Who we're looking for

We’re looking for a Data Analyst to help mine and present data to see beyond numbers and understand how our customers interact with our products. You will work alongside technical and non-technical team members to uncover insights and help improve everything we do.

What you will be doing
  • Conducting quantitative analysis and data modeling to present data to the team to streamline strategy
  • Creating and maintaining analysis and reports
  • Preparing, maintaining, importing high-quality data
  • Diving into core datasets to identify feature sets and create ETL scripts
  • Troubleshooting the reporting database environment and reports
  • Working closely with software engineers to evaluate changes and updates to source production systems
  • Providing technical expertise in data storage structures, data mining, and data cleansing
  • Contributing to sizeable functional projects
Who you are
  • Strong understanding of dashboard design and best practices
  • Curiosity and willingness to learn and ask questions
  • Knowledge of relational databases
  • Some knowledge of statistics
  • Mastery in SQL
  • Mastery in using data visualization tools such as Tableau, Looker, Power BI, etc.
  • Working knowledge of Python or R
  • Strong communication skill (written / verbal)
  • Strong Time Management Skill
  • Preferably 1-3 years of experience in a data analytics role, new graduates are also welcome to apply
  • Ability to set realistic timelines and expectations
  • Ability to understand business needs and deliver relevant insights for decision making
  • Knowledge of main data science concepts is a plus
What we offer

Want to be part of one of Hong Kong’s hottest Fintech start-ups? Join our passionate team to build an experience that’s faster, friendlier and more modern than a bank.

  • Fastest growing fintech startup in Hong Kong
  • Young, energetic and multicultural team
  • Flat organisation structure
  • Job flexibility
  • High empowerment culture

Sign in to Happyer

Help us Complete Your Profile

What's your full name?

What's your current position?

Please fill in all name and position fields.

What is your current status

What is your career goal?

You can choose more than one goal

Learn new skills
Make a major career switch
Land a (new) job
Not totally sure...

Receive job alert emails

Please select your status and at least one career goal.

Where would you like to work?

You can choose more than one location

I want to work in

What are you looking for next?

It’s okay if you’re not sure. We got you covered no matter what.

Please select at least one location, pick your experience level, and your career path in order to continue.
Success! Your application is on it's way

We've sent a notification to the hiring manager with your profile details and resume.

Back to Job

Choose your "Quick Apply" resume

Be sure to complete your profile for best results. This is the final step of your application.

PDF, Doc, or Docx. 10MB maximum.
Confirm Application

"Quick Apply" or use a custom resume?

Quick ApplyCustom Resume
10/F, China Hong Kong Tower, 8 Hennessy Road,
Interested in working at
Neat (HK)

Related Positions

FundPark (HK)

FundPark (HK)- Senior Data Engineer

Senior Data Engineer- FinTech
Hong Kong
Llewellyn and Partners Co. Ltd. (LPC) (HK)

Llewellyn & Partners Co. Ltd. (LPC) - Chief Data Scientist

Chief Data Scientist
Hong Kong
StashAway (SG)

StashAway (SG) - Data Engineer

Data Engineer