Data Analytics Engineer


- Permanent
- Up to $6,500
- Paya Lebar
- Normal working hours
Job Responsibilities:
Create value through developing data analytics solutions that supports the company’s global objectives as well as internal business requirements 
Proactively work with internal stakeholders to solicit data requirements to support business needs 
Study complicate problems, provide source-to-target mappings and information specification documents for data sets 
Perform data preparation of datasets that fulfils the project requirements 
Work with both internal stakeholders and external vendors to design and implement appropriate data stores like databases, data warehouse and/or data lake to store data efficiently, keep the data up-to-date and serviceable for external systems or end-users to query 
Utilise statistical tools to interpret complex data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts 
Analyse and recommend specific types of data that can be used to derive features and rule-based approach for business applications 
Develop, create best-practice reports based on data mining, analysis and visualization implement 
Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems 
Perform complete life cycle data generation and translate data that effectively communicate trends, patterns, and predictions into critical and coherent information for executive leadership 
Support system testing and evaluation activities including onsite acceptance testing to validate and improve the models and algorithms
 
Period:
Permanent
 
Working Hours:
Normal working hours
 
Salary: 
Up to  $6,500
 
Location: 
Paya Lebar
 
Requirements:
Degree in Computer Engineering, Computer Science, Statistics or related disciplines 
Candidate should have an analytical mind, attention to details for large datasets, and inclination for problem-solving 
Able to generate comprehensive technical writings including queries, reports and presentations 
Programming skills in at least one statistical programming language preferably Python, knowledge in Statistics and machine learning techniques. 
Experience in one of the visualization tools, preferably Qlik, or any other relevant analytic tools 
Practical experience with the use of statistical packages including SQL, XML, Javascript, with the ability to learn others to analyse data and generate useful reports, is an advantage 
A team player with excellent verbal and written communication skills to communicate with the wider business and functional groups 
 
Interested applicants, kindly email your detailed resume (MS Word format is preferred):
 
jansen@successhrc.com.sg (Registration no:  R1327243)
 
Please ensure that applications sent through email are no bigger than 1Mb.
 
We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.
 
Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)
 
3 Shenton Way, #19-01 Shenton House, Singapore 068805
 
T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg

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