We are on a mission to make use of data to create better life for everyone. Better means lives simpler, more pleasant and more productive. We’ve spent a lot of time creating an innovative, appreciation, and respectful culture. Radica has expanded our data marketing technology business in 4 cities...

We are on a mission to make use of data to create better life for everyone. Better means lives simpler, more pleasant and more productive. We’ve spent a lot of time creating an innovative, appreciation, and respectful culture. Radica has expanded our data marketing technology business in 4 cities covering over 300 international and enterprise scale clients. We want to push it further.

Data Analyst / Senior Data Analyst

Job level Entry
Work exp Minimum 3 Years
Education Bachelor Degree
Location
Within Hong Kong
Employment type Full Time
Benefits 5-day week, Education subsidies, Flexible working hours, Medical plan, Shuttle bus
Industry Information Technology
Job function Information Technology > Database Administrator (DBA)
Information Technology > Software Development
Information Technology > System / Business Analyst
Published On 29/11/2019

WHAT YOU'LL DO:

  • Deliver data analytics projects; develop and deploy data programs, management reports, dashboards and business intelligence solutions to fulfill the business need under considerable deadline pressure
  • Perform analyses of structured and unstructured data to solve moderately complex business problems
  • Develop data structures and pipelines to organize, collect and standardise data that help generate insights and address reporting needs
  • Explore existing data and recommend additional sources of data for improvements
  • Develop, validate and execute algorithms and predictive models
  • Develop and support a wide variety of ad hoc / new information deliverables and analyses

WHAT BASIC QUALIFICATIONS YOU NEED TO GET:

  • Bachelor's Degree in Computer Science, Statistics, Mathematics or other quantitative discipline.
  • Minimum 3 years of working experience in data science, data analysis, data mining, and creation of algorithms / data models / modeling or relevant professional with a proven track record of leveraging analytics and large amounts of data to drive significant business impact
  • Solid knowledge of statistical analysis process and proficiency in statistical modeling tools
  • Strong analytical and quantitative skills,
  • Hands-on experience in data extraction, data manipulation, and data processing languages (SQL, Python, R, Hadoop, deployment of models & algorithm) to analyze unstructured data
  • Build scalable predictive models based on data sets
  • Experience in using statistical and analytical tools such as Tableau or Power BI

WHAT WILL MAKE US REALLY LOVE YOU:

  • Willing to take ownership of his/her work, working both independently and within a small team
  • Understanding fast-paced and startup environment
  • Ability to learn new technologies to improve your efficiency

WHAT YOU’LL LOVE ABOUT US:

  • Birthday Leave + Annual Leave + Vacation Leave (at least 17 days)
  • Home office days
  • 180 seaview working environment which all customers admired
  • Great company culture (easy-going, results-oriented and fun)
  • Rich education allowance for Global Top-tier Institutes certified course
  • Club house facilities (25m Swimming Pool, Gym, Yoga just downstairs of our office!)
  • Rich snacks, gathering and team building
  • Cross-country projects and internal transfer are encouraged
  • One-month Escape Leave for your life refreshment

If this opportunity sounds like a good match for you, please submit your resume with your expected salary for immediate consideration.

~~~~ We love IT, we believe innovation can brings value ~~~~

Interested parties please click Apply Now to apply job

Data held by the company relating to employment applications will be kept confidential and used only for processing applications. Applications who are not contacted within 1 month may consider their applications unsuccessful.

All personal data of unsuccessful applicants will be retained for a maximum period of two years and may refer suitable applicants to other vacancies within the company.