Total 2 data entry clerk job vacancies in d19 serangoon garden hougang sengkang punggol

Summary

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire world. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you ready to be part of a team that turns innovative ideas into extraordinary products and experiences? The Apple Services Engineering - Experimentation data engineering team provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Data Pipeline Engineer who can automate and build data pipelines for our search and recommendations features. Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Description

This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets.

Minimum Qualifications

• Bachelors in Computer Science/Engineering or related field
• 3-5+ years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools
• Proven experience working on big data systems and distributed computing, such as Hadoop and Spark
• Experience with programming languages such as Scala, Spark or Python
• Experience maintaining a large software system and writing a test suite

Preferred Qualifications

• Proficiency in using query languages like SQL, Hive and SparkSQL
• Experience with entity-relationship modeling and understanding of normalization
• Experience with sessionization of clickstream and time-series data is a plus
• Familiar with the concepts of dimensional modeling
• Experience with Continuous Integration, Version Control such as git
• Experience with data visualization tools, such as GGplot, etc
• Deep understanding of data structures and common methods in data transformation
• Keep up-to-date with the newest technology trends
• Working with software engineering teams to improve data collection procedures
• Processing, cleansing, and validating the integrity of data used for analysis
• Engineer code that is durable and reliable
• Performance tune and optimize code as data grows and needs change
• Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams
• Showcase real passion for visualizing and making sense of data analysis

Job Summary

We are seeking an experienced and innovative Data Analyst to join our Greater China Reseller Operations Team, to provide actionable insights derived from sophisticated datasets. The ideal candidate will excel in redefining data into actionable insights, utilizing an integrated approach of analytics, has an eye for continuous improvement (dashboard building, automation and scripting), and machine learning methodologies. In this role, you will work closely with GC Leadership team to identify opportunities to tackle complex problems, drive data-driven decision-making, and contribute to the strategic direction of our business analytics initiatives.

Key Qualifications

• 5+ years of practical experience in a data science role, preferably in a business analytics setting.
• Skilled in the use of statistical tools and programming (including Python, SQL).
• Proven experience with machine learning libraries and frameworks.
• Strong understanding of data structures and algorithms, as well as database management systems.
• Excellent problem-solving abilities and experience in hypothesis-driven statistical testing.
• Proven track record in operationalizing models and integration into business processes
• Experience with Operations Research and optimisation techniques is a plus.
• Strong knowledge of supply chain processes including demand planning, inventory management, and logistics preferred
• Demonstrated skill in data visualisation and communication tools (e.g., Tableau).
• Ability to translate complex data insights into actionable business strategies.
• Exceptional communication and collaboration skills, with a track record of successful cross-functional collaboration.

Description

Your role includes detailed analysis of sophisticated datasets to discover trends and forecast outcomes, which will craft strategic initiatives. A crucial part of your job will be to not only articulate these predictive insights to senior leadership with transparency but also to operationalize these models, ensuring they are integrated optimally into business processes for real-world applications. The PAC RO team is the key operations liaison with Apple’s Reseller Partners and works with our partners to ensure that the supply chain run as efficiently as possible, in order to improve sell through across the fastest growing region globally. Join us as we blaze new grounds and grow our footprint.

Education

Master’s degree in Data Science, Statistics, Computer Science, or a related field.

Additional Requirements

Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.