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.

Apply Now or View Company Profile

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

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

Interested in working at

RADICA (HK)

Apply Now Application received.

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RADICA - Data Analyst / Senior Data Analyst

Data Analyst / Senior Data Analyst

Hong Kong

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Data Analyst / Senior Data Analyst

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HKD

Fluent English

Fluent Cantonese

Python

Hadoop

SQL

Who we're looking for

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