APAC Data and Analytics Specialist – Digital Intelligence

United Parcel Service, Inc.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

United Parcel Service, Inc. is hiring an APAC Data and Analytics Specialist – Digital Intelligence to build scalable analytics across Asia Pacific. The role focuses on the Single View of Customer, data integration from ERP and marketing platforms, and reusable Power BI reporting models.

You will automate ETL processes and enable advanced analytics to drive customer engagement and growth. The ideal candidate has 2–5 years of experience in data analytics, strong Power BI/Power Query skills, and a

Qualifications

• Bachelor’s degree in Business Analytics, Data Analytics, Marketing, Data Science, Information Systems, Computer Science, Statistics, Engineering, or related discipline.
• 2–5 years of relevant experience in data analytics, BI, data engineering, marketing analytics, or related field.
• Strong hands‑on experience with Power BI and Power Query including data modeling and dashboard/report development.
• Strong SQL skills with relational databases and enterprise data warehouses.
• Understanding of data modeling, ETL/data prep, data validation, and cross‑source integration.
• Strong analytical and structured problem‑solving skills with the ability to translate questions into data/BI solutions.
• Effective communication skills for presenting technical insights to stakeholders.
• Experience with Python for data manipulation/automation/analytics preferred; familiarity with DAX, Oracle, and campaign data is a plus.
• Attention to detail and ability to manage multiple priorities in a fast-paced, matrixed environment.

Responsibilities

• Translate customer and marketing requirements into scalable data models, datasets, and analytical solutions for APAC Single View of Customer.
• Integrate customer, shipment, revenue, product usage, segmentation, and marketing engagement data into reusable analytical structures.
• Develop relationships between data holders and accounts to enable cross‑population analysis across sales regions.
• Retain and analyze customer history over time, including changes not visible in current source files.
• Partner with stakeholders to implement lifecycle, campaign, and KPI definitions in models and reporting.

Skills

Power BI

Power Query

SQL

Data Modeling

ETL

Python

DAX

CRM data

Education

Bachelor’s Degree in a related field

Tools

Power BI

Power Query

Job description

ก่อนที่คุณจะสมัครงาน เลือกภาษาที่คุณต้องการจากตัวเลือกที่มีให้บนมุมด้านขวาของหน้านี้

มองหาโอกาสใหม่ ๆ ในองค์กรที่ติดอันดับ Fortune Global 500 ที่คุณสามารถจินตนาการถึงนวัตกรรมที่เป็นไปได้ พร้อมกับการมีประสบการณ์ในวัฒนธรรมองค์กรที่ส่งเสริมการให้รางวัล และทำงานร่วมกับทีมที่มีความสามารถที่จะช่วยให้คุณได้พัฒนาในทุก ๆ วัน เรารู้ว่าการนำ UPS ไปสู่อนาคต ต้องมีกลุ่มคนที่มีทักษะและความหลงใหลที่แตกต่างแต่ผสมผสานกันอย่างลงตัว หากคุณมีคุณสมบัติและแรงขับในการเป็นผู้นำของตัวเองและ/หรือของทีม เรามีบทบาทที่พร้อมจะพัฒนาทักษะของคุณและพาคุณก้าวไปในระดับที่สูงขึ้น

รายละเอียดของงาน:

The APAC Data and Analytics Specialist – Digital Intelligence supports the regional Digital Intelligence team in building scalable customer, campaign, and marketing analytics capabilities across Asia Pacific. This role is responsible for developing the technical foundation for Single View of Customer, integrating and transforming data from enterprise and marketing platforms, automating recurring analytical processes, and enabling reusable Power BI reporting and data models. The role uses efficient and advanced analytics to derive insights and to support customer engagement, commercial growth, and informed decision-making.

Job Responsibilities

Customer Intelligence and Single View of Customer

• Translate customer and marketing business requirements into scalable data models, datasets, and analytical solutions supporting the APAC Single View of Customer.
• Integrate available customer/account information, shipment and revenue performance, product or service usage, customer segmentation, and marketing engagement data into reusable customer‑level analytical structures.
• Support the development of relationships between UPS ID holders and account holders where data and identifiers allow, and enable analysis across relevant customer populations and sales coverage segments.
• Develop approaches to retain and analyze customer history over time, including changes that may no longer be visible in current monthly source files.
• Partner with Customer and Campaign Intelligence stakeholders to implement agreed customer lifecycle, campaign, and KPI definitions in analytical models and reporting solutions.

Data Integration, Automation, and Power BI

• Extract, combine, transform, and validate data from enterprise data warehouses, CRM/marketing platforms, and other approved data sources using Power Query, SQL, and other appropriate tools.
• Develop repeatable ETL and data preparation workflows that reduce manual effort, improve consistency, and support recurring customer, campaign, and performance analytics.
• Design and maintain reusable Power BI semantic models, DAX measures, and reporting solutions rather than isolated one‑off dashboards.
• Improve data quality, refresh reliability, model performance, and documentation, including source‑to‑report logic, transformations, dependencies, and validation checks.
• Support the prioritized migration of Microsoft Access and spreadsheet‑based analytical processes toward more scalable and maintainable solutions.
• Use Python where data scale, complexity, automation, or analytical requirements make it appropriate.

Analytics Enablement and Team Capability

• Enable standardized campaign analytics, customer segmentation, lifecycle analysis, reactivation, cross‑sell, and customer growth analysis through reliable datasets and analytical tools.
• Support customer‑level analytics for strategic programs, including preparation of analytical views and measurement datasets.
• Progressively support advanced analytical use cases such as clustering, propensity analysis, at‑risk identification, experimentation, and recommendation analytics as the data foundation matures.
• Provide technical guidance and reusable components that enable other Digital Intelligence team members to develop and maintain their own Power BI reporting and analysis.
• Partner with regional, country, Corporate, IT, and external vendor stakeholders as required to support scalable analytics solutions and productionization.

Job Requirements

• Possess a Bachelor’s Degree in Business Analytics, Data Analytics, Marketing, Data Science, Information Systems, Computer Science, Statistics, Engineering, or a related discipline.
• 2–5 years of relevant experience in data analytics, business intelligence, data engineering, marketing analytics, or a related function. Candidates with strong hands‑on project experience may also be considered.
• Strong hands‑on experience with Power BI and Power Query, including data modeling and dashboard/report development. Portfolio or dashboard samples are highly encouraged.
• Strong SQL skills and experience working with relational databases, enterprise data warehouses, or large transactional datasets.
• Sound understanding of data modeling, ETL/data preparation, data validation, and combining multiple data sources at different levels of detail.
• Strong analytical and structured problem‑solving skills, with the ability to translate business questions into practical data and BI solutions.
• Effective communication skills, with the ability to present technical insights to business stakeholders.
• Experience with Python for data manipulation, automation, or analytics is strongly preferred. Familiarity with DAX, CRM/marketing data, Oracle, historical/snapshot data, or campaign measurement is an advantage.
• Attention to detail and ability to manage multiple priorities in a fast‑paced, matrixed, regional environment.
• Collaborative, proactive, adaptable, and willing to learn, with a strong sense of ownership and accountability.

ประเภทพนักงาน:

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