ASSISTANT MANAGER - DATA ANALYTICS & ENGINEERING
Requirements
Bachelor’s degree or above, preferably in Computer Science, Information Systems, Business Analytics, Data Analytics, Data Science, Decision Science, or any related disciplines
Minimum 8 years of experience in databases establishment and development, data analytics, data engineering, automation, reporting, writing user requirements, definitions and specifications etc., preferably in handling different types of data, survey data and customer analytics environments
Solid experience in handling data from multi-sources and in different forms, including data cleansing, structuring, standardization, database management, standard setting, quality controls, and governance
Proficiency in Python, SQL, other relevant programming or scripting, and mastering use of AI tools for database architecture, data analytics and processing, as well as automation
Familiar with Excel (advanced functions), and SPSS is an advantage
Experience in designing, establishing and owning datasets/database, documentation, and writing workflow processes
Proven verbal and written English and Chinese proficiency, with good communication skills
Strong analytical, numerical, logic, and problem-solving skills, as well as business acumen
Self-motivated, responsible, independent, attention to details, organized, and positive work attitude
Responsibilities
Lead, design, establish, own, and maintain structured and unstructured research data and customer-centric analysis databases from various sources, including self-owned, research, voice/audio, social media data etc.
Manage and execute databases, data analytics, automation and reporting related projects
Establish and define database architecture, data structures, fields and groupings, cleansing rules, research data coding/grouping skeleton and execution programming, and workflow across survey datasets and integrate into unified, well-organized, and trusted databases
Automate workflow, templates, reports and dashboards and related, by using programs or scripts or other methods and tools that can efficiently meet the business needs of data analysis
Review, clean, validate and standardize multi-sourced data to ensure quality, consistency, and reliability
Propose to use, deploy, upgrade, and maintain any new or existing platforms that link with databases
Write and update user requirements, database schemas/books, data architecture, data field definitions, data types, reporting templates and framework, data handling and tasks procedures, workflow, automation rules, guidelines and standards, data analytics and database documentation
Provide technical support with contingency and usage guidance to team members for the best practices
Perform ad-hoc tasks and other related projects assigned to align business needs
(Candidates with less experience will be considered for a junior position.)
Good remuneration and attractive fringe benefits will be offered to the successful applicant. Interested parties please apply with full resume, present and expected salary, available date by clicking "Apply Now".
We are an equal opportunity employer and welcome applications from all qualified candidates. All personal data collected will be used for recruitment purpose only. Applicants not hearing from us within 3 months may consider their applications unsuccessful. All personal data collected will be destroyed within 24 months.