APAC Data and Analytics Specialist – Digital Intelligence

UPS; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

UPS正在新加坡寻求APAC数据与分析专家（数字智能）以支持区域数字智能团队，搭建客户全景数据基础、整合企业与营销数据源、自动化分析流程，并开发可重复使用的Power BI报表与数据模型。

该岗位需要具备使用Power BI和Power Query的实际经验，熟练SQL、Python且拥有数据建模与报表开发能力，能够将商业问题转化为可落地的BI解决方案，并在快节奏的区域环境中与多方沟通协作。

Qualifications

• 具备商业分析、数据分析、数据工程或相关领域的本科及以上学历
• 熟练使用Power BI与Power Query进行数据建模与报表开发
• 具备SQL并能处理关系型数据库和数据仓库的经验
• 具备Python进行数据处理、自动化或分析的优先考虑

Responsibilities

• 将客户、广告活动与营销分析需求转化为可扩展的数据模型、数据集和分析解决方案，支持APAC区域的客户全景视图
• 整合客户/账户信息、运输与收入数据、产品/服务使用情况、客户分群以及营销触达数据，形成可重复使用的分析结构
• 支持建立UPS ID与账户之间的关系，并在相关人群和销售覆盖区域间开展分析
• 设计和维护可重复使用的Power BI语义模型、DAX度量与报表解决方案
• 提升数据质量、刷新可靠性、模型性能及文档化，覆盖源到报表的逻辑与依赖关系
• 推进对Microsoft Access与电子表格的分析流程迁移，向更 scalable 的解决方案转型
• 在需要时使用Python进行数据处理、自动化或分析

Skills

Power BI

SQL

Python

数据建模

数据分析

沟通能力

Education

Bachelor's degree in Business Analytics, Data Analytics, Marketing, Data Science, Information Systems, Computer Science, Statistics, Engineering, or related field

Tools

Power Query

Oracle

Job description

职务描述：

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。

职务描述：

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 maturing。
• 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。

员工类型：

永久

UPS 致力于提供一个没有歧视、骚扰和报复的工作场所。