Canopy

RADICA - Data Analyst / Senior Data Analyst

Mid Level
Hong Kong
Data Analyst / Senior Data Analyst
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About Us

Through our secure, easy-to-use and AI-based big data platforms and solutions, RADICA enables brands around the world to easily discover hidden business opportunities and leads them to analyze and interpret data for their business success.


Who we're looking for

We Create Delightfulness
JOIN THE COMPANY TO STEER THE FUTURE OF DIGITAL CUSTOMER JOURNEY
At Radica, we help clients to understand big data marketing and tap data engineering into delightful customer engagements across digital channels. We have earned our reputation as a big data solution leader in Asia, and draw our DNA - Innovative, Share, and Grow into meaningful careers to each radican.


What you will be doing in this role:
  • Cleanse, process, verify and transform clients’ data into analytics-friendly format
  • Select, build and optimize different data prediction models according to the clients’ business objectives
  • Prepare data visualization reports and analytical dashboards to draw out insights for the clients
  • Communicate analytics results in a clear and easy-to-understand manner
  • Construct, manage and monitor the healthiness of clients’ database
  • Standardize analytics methodology and architect to improve working efficiency
  • Do ad-hoc analysis when necessary
The skills and experience that you ideally possess:
  • Bachelor's Degree in Computer Science, Statistics, Mathematics or other quantitative discipline
  • Minimum 4 years of working experience in data science, data analysis, data mining, and creation of algorithms / data models / modeling
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM, Decision Forests, etc.
  • Experience in common data science toolkits, such as R, Python, Hadoop, etc. Excellence in at least one of these is highly desirable
  • Strong oral, written, and interpersonal communication skills
  • Experience in data visualization tools such as Tableau
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Data-oriented
  • Inquisitive, proactive, and interested in learning new tools and techniques
What we offer:
  • Great Company Culture: Dynamic working environment. Rich gathering and team building
  • Relaxation: Minimum 17 days paid holidays, birthday leave, one-month escape leave, flexible home office and working hours
  • Health Benefits: Medical Insurance, health check-up/ dental allowance
  • Leisure: Clubhouse facilities (Swimming Pool, Gym, Yoga just downstairs of our office!)
  • Radica University: Take the class, be equipped, get reimbursed
  • And More: Cool staff pantry with free snacks and drinks

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Unit 611-612, 6/F, Lakeside 2, 10 Science Park West Avenue. Hong Kong Science Park
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