Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)
We are seeking an experienced Qlik Architect to lead the design, architecture, and implementation of enterprise-scale analytics solutions using the Qlik platform. The ideal candidate will have strong expertise in Qlik Sense / QlikView architecture, data modeling, and BI strategy, and will work closely with business stakeholders, data engineers, and developers to deliver scalable and high-performance analytics solutions
Collaborate with business, marketing, product, analytics, data science and Martech stakeholders to translate campaign objectives into audience strategies, segmentation logic, eligibility criteria and targeting recommendations for retention, upsell, cross-sell and next-best-action campaigns.
We are seeking an experienced Qlik Architect to lead the design, architecture, and implementation of enterprise-scale analytics solutions using the Qlik platform. The ideal candidate will have strong expertise in Qlik Sense / QlikView architecture, data modeling, and BI strategy, and will work closely with business stakeholders, data engineers, and developers to deliver scalable and high-performance analytics solutions
Manage and execute end-to-end monthly payroll processes for SG/US/TW/CN in collaboration with local payroll vendor, including annual tax filing with accuracy and within stipulated timelines
Immerse yourself in the core of our clients' businesses, grasping their goals and demands, and transforming these insights into actionable data strategies through a rich understanding of business dynamics.
Immerse in clients’ businesses to understand their goals and requirements, translating insights into actionable data strategies through a deep understanding of business dynamics.
Build and maintain fact and dimension tables in Ali Cloud (MaxCompute) supporting the harmonised Finance Data Warehouse (FDW), under the data architecture and mapping logic defined by the Senior Manager
Quick Commerce Analysis: Utilize analytical methodologies ranging from data modeling to descriptive/predictive/prescriptive analytics in order to measure incremental impact and make actionable recommendations on quick commerce investments (e.g. dark store expansion, assortment changes, delivery fee adjustments, discounting), customer conversion funnel, cost/margin optimization, and tactical execution of quick commerce initiatives.