Role centers on designing, building, and maintaining cloud-based data pipelines for a fast-growing payments environment. You will partner with data analysts, product teams, and business...
read more »
Role centers on designing, building, and maintaining cloud-based data pipelines for a fast-growing payments environment. You will partner with data analysts, product teams, and business stakeholders to ensure high-quality, reliable data drives decisions. The stack is cloud-first, with GCP and BigQuery, plus Hadoop, Spark, and Hive for legacy workloads. You will design ETL pipelines, data models, and integration processes to support reporting and analytics across large, cross-border datasets. The pitch promises scale and reliability, but the description omits governance, security, observability, and real data quality discipline. Core requirements are strong SQL and at least one of Python, Java, or Scala, plus experience with ETL frameworks and data warehousing. It sits at the analytics-engineering seam; whether that is a strength or buzzword fluff depends on how concrete the project scope proves to be in practice.
Data Analyst - Business Intelligence, Regional Logistics
@ shopee
SG | 2025-12-27
Shopee’s BI Data Analyst posting reads like a hybrid: deep analytics plus data engineering chores, spanning from dashboards to building pipelines for logistics across multiple markets. The role...
read more »
Data Analyst - Business Intelligence, Regional Logistics
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s BI Data Analyst posting reads like a hybrid: deep analytics plus data engineering chores, spanning from dashboards to building pipelines for logistics across multiple markets. The role promises cross-functional bite with Data Science/Engineering and Product, consistent with a data platform that must scale. Core tech stack expectations land on SQL and Python, with big-data tools such as Hadoop, Hive SQL, and Spark, plus ETL, Tableau and Looker for visual storytelling. The tension is real: you’re asked to translate qualitative and quantitative signals into actionable plans, while explaining technical concepts to non-tech stakeholders. It’s a decent all-rounder grind in a growing ecommerce operation; the risk is scope creep and ambiguity around success metrics and career ladders. Salary isn’t disclosed, which is a yellow flag in a market that still cares about pay transparency. Opportunities exist for hands-on impact in logistics optimization and cross-market scale.
The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...
Data Analyst - Business Intelligence, Marketplace Operations
@ shopee
SG | 2025-12-27
Shopee’s Regional Marketplace BI role asks a hands-on analyst to stitch SQL and Python into dashboards, data pipelines, and playbooks across multiple markets. You’ll chop large datasets, run ETL,...
read more »
Data Analyst - Business Intelligence, Marketplace Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s Regional Marketplace BI role asks a hands-on analyst to stitch SQL and Python into dashboards, data pipelines, and playbooks across multiple markets. You’ll chop large datasets, run ETL, and ship metrics that drive decisions from fraud to operations, while coordinating with product, data science, and regional teams. The tech footprint is solid but not glamorous: Hadoop/Hive, Spark, Tableau or Looker, and room to apply Generative AI for automation and insights. The challenge is real: balancing fast, operational reporting with robust data models, communicating nuanced findings to non‑technical stakeholders, and keeping up with cross‑market governance. Opportunities hinge on influencing policy and process at scale, plus hands-on exposure to AI-enabled analytics. In a crowded BI market, the role stands out if you value practical impact over buzz and prefer breadth to depth.
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world...
read more »
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world patient outcomes on the line. The technical bar is high: Python, SQL, R; dashboards (Tableau/Power BI/TIBCO); Databricks on AWS; Docker/Kubernetes; REST APIs with FastAPI; Streamlit and Next.js front ends; Git CI/CD; and hands-on work with LLMs for care-pathway optimization. Data governance and PDPA/HBRA compliance sit alongside rapid prototyping, so you’ll trade glittering experiments for robust production pipelines and audits. The upside: meaningful impact, exposure to enterprise healthcare data, leadership experience. The caveat: bureaucratic cycles, security requirements, and the usual healthcare procurement friction. In short, a credible blend of AI-in-healthcare with real-world constraints, not a hype-driven data science gig.
Junior Data Analyst - Business Intelligence, Regional Operations
@ shopee
SG | 2025-12-26
Shopee's Regional Operations role promises hands-on BI work across big data, building dashboards and pipelines to measure day-to-day efficiency and strategic impact. The job requires SQL and...
read more »
Junior Data Analyst - Business Intelligence, Regional Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee's Regional Operations role promises hands-on BI work across big data, building dashboards and pipelines to measure day-to-day efficiency and strategic impact. The job requires SQL and Python, plus familiarity with Hadoop, Hive, Spark, ETL tools, and visualization platforms like Tableau or Looker. It asks for 0-3 years and a business analytics or STEM degree, which is typical, but the real work is data infrastructure alongside reporting, converting qualitative and quantitative inputs into scalable playbooks. The environment is cross-market and cross-functional, so stakeholder management and translating tech concepts into actionable plans matter as much as modelling. The risks include a heavy emphasis on data engineering tasks under a BI banner, potential tooling churn, and the need to navigate regional data governance. Opportunities lie in end-to-end ownership of metrics and practical impact on operations, not just dashboards.
Singapore Airlines is hunting a seasoned data architect/engineer to own data cleansing, migration, and analytics in a broad SAP-centric stack tied to a S/4HANA implementation and a corporate data...
read more »
Singapore Airlines is hunting a seasoned data architect/engineer to own data cleansing, migration, and analytics in a broad SAP-centric stack tied to a S/4HANA implementation and a corporate data lake. Expect heavy SAP work: S/4HANA analytics, BW/4HANA, BW on HANA, and SAP Analytics Cloud, with DWC and BW Bridge as connective tissue; ETL through SDI and Data Services; native HANA modeling; and connections to SuccessFactors, Ariba, and Concur, plus AWS S3/Redshift and Tableau for visualization. The role is an individual contributor but mission-critical: define the analytics architecture, vet platforms, and drive delivery with internal and external teams. Good fit for someone who likes end-to-end project life cycles and governance in a large enterprise, but beware the SAP-first constraint, scope creep, and a potentially protracted migration path before any payoff shows.
O'Reilly: Building AI Agents with Model Context Protocol (MCP)
Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.
Plaud Inc. seeks a data analyst to connect device identifiers with user behavior, supporting growth and revenue initiatives through cross-system data architecture. The role's differentiator is its...
read more »
Plaud Inc. seeks a data analyst to connect device identifiers with user behavior, supporting growth and revenue initiatives through cross-system data architecture. The role's differentiator is its focus on full-funnel analysis for a hardware-software combo in a privacy-conscious environment, with the inherent risk of data privacy and security complexity. Compensation details are not specified.
Plaud Inc. seeks a data analyst with 2-4 years' experience in user behavior analytics and SQL/Python skills to support growth initiatives by integrating cross-system data for a comprehensive view...
read more »
Plaud Inc. seeks a data analyst with 2-4 years' experience in user behavior analytics and SQL/Python skills to support growth initiatives by integrating cross-system data for a comprehensive view of user engagement. The role offers the unique advantage of working on high-impact projects within an AI/Tech firm committed to data privacy, with a significant risk being the dependency on complex data architecture which can lead to integration challenges.
Role centers on designing, building, and maintaining cloud-based data pipelines for a fast-growing payments environment. You will partner with data analysts, product teams, and business stakeholders to ensure high-quality, reliable data drives decisions. The stack is cloud-first, with GCP and BigQuery, plus Hadoop, Spark, and Hive for legacy workloads. You will design ETL pipelines, data models, and integration processes to support reporting and analytics across large, cross-border datasets. The pitch promises scale and reliability, but the description omits governance, security, observability, and real data quality discipline. Core requirements are strong SQL and at least one of Python, Java, or Scala, plus experience with ETL frameworks and data warehousing. It sits at the analytics-engineering seam; whether that is a strength or buzzword fluff depends on how concrete the project scope proves to be in practice.
Data Analyst - Business Intelligence, Regional Logistics
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s BI Data Analyst posting reads like a hybrid: deep analytics plus data engineering chores, spanning from dashboards to building pipelines for logistics across multiple markets. The role promises cross-functional bite with Data Science/Engineering and Product, consistent with a data platform that must scale. Core tech stack expectations land on SQL and Python, with big-data tools such as Hadoop, Hive SQL, and Spark, plus ETL, Tableau and Looker for visual storytelling. The tension is real: you’re asked to translate qualitative and quantitative signals into actionable plans, while explaining technical concepts to non-tech stakeholders. It’s a decent all-rounder grind in a growing ecommerce operation; the risk is scope creep and ambiguity around success metrics and career ladders. Salary isn’t disclosed, which is a yellow flag in a market that still cares about pay transparency. Opportunities exist for hands-on impact in logistics optimization and cross-market scale.
Data Analyst - Business Intelligence, Marketplace Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee’s Regional Marketplace BI role asks a hands-on analyst to stitch SQL and Python into dashboards, data pipelines, and playbooks across multiple markets. You’ll chop large datasets, run ETL, and ship metrics that drive decisions from fraud to operations, while coordinating with product, data science, and regional teams. The tech footprint is solid but not glamorous: Hadoop/Hive, Spark, Tableau or Looker, and room to apply Generative AI for automation and insights. The challenge is real: balancing fast, operational reporting with robust data models, communicating nuanced findings to non‑technical stakeholders, and keeping up with cross‑market governance. Opportunities hinge on influencing policy and process at scale, plus hands-on exposure to AI-enabled analytics. In a crowded BI market, the role stands out if you value practical impact over buzz and prefer breadth to depth.
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world patient outcomes on the line. The technical bar is high: Python, SQL, R; dashboards (Tableau/Power BI/TIBCO); Databricks on AWS; Docker/Kubernetes; REST APIs with FastAPI; Streamlit and Next.js front ends; Git CI/CD; and hands-on work with LLMs for care-pathway optimization. Data governance and PDPA/HBRA compliance sit alongside rapid prototyping, so you’ll trade glittering experiments for robust production pipelines and audits. The upside: meaningful impact, exposure to enterprise healthcare data, leadership experience. The caveat: bureaucratic cycles, security requirements, and the usual healthcare procurement friction. In short, a credible blend of AI-in-healthcare with real-world constraints, not a hype-driven data science gig.
Junior Data Analyst - Business Intelligence, Regional Operations
shopee
(SG) FULL TIME | JOB LISTED
Shopee's Regional Operations role promises hands-on BI work across big data, building dashboards and pipelines to measure day-to-day efficiency and strategic impact. The job requires SQL and Python, plus familiarity with Hadoop, Hive, Spark, ETL tools, and visualization platforms like Tableau or Looker. It asks for 0-3 years and a business analytics or STEM degree, which is typical, but the real work is data infrastructure alongside reporting, converting qualitative and quantitative inputs into scalable playbooks. The environment is cross-market and cross-functional, so stakeholder management and translating tech concepts into actionable plans matter as much as modelling. The risks include a heavy emphasis on data engineering tasks under a BI banner, potential tooling churn, and the need to navigate regional data governance. Opportunities lie in end-to-end ownership of metrics and practical impact on operations, not just dashboards.
Singapore Airlines is hunting a seasoned data architect/engineer to own data cleansing, migration, and analytics in a broad SAP-centric stack tied to a S/4HANA implementation and a corporate data lake. Expect heavy SAP work: S/4HANA analytics, BW/4HANA, BW on HANA, and SAP Analytics Cloud, with DWC and BW Bridge as connective tissue; ETL through SDI and Data Services; native HANA modeling; and connections to SuccessFactors, Ariba, and Concur, plus AWS S3/Redshift and Tableau for visualization. The role is an individual contributor but mission-critical: define the analytics architecture, vet platforms, and drive delivery with internal and external teams. Good fit for someone who likes end-to-end project life cycles and governance in a large enterprise, but beware the SAP-first constraint, scope creep, and a potentially protracted migration path before any payoff shows.
Plaud Inc. seeks a data analyst to connect device identifiers with user behavior, supporting growth and revenue initiatives through cross-system data architecture. The role's differentiator is its focus on full-funnel analysis for a hardware-software combo in a privacy-conscious environment, with the inherent risk of data privacy and security complexity. Compensation details are not specified.
Plaud Inc. seeks a data analyst with 2-4 years' experience in user behavior analytics and SQL/Python skills to support growth initiatives by integrating cross-system data for a comprehensive view of user engagement. The role offers the unique advantage of working on high-impact projects within an AI/Tech firm committed to data privacy, with a significant risk being the dependency on complex data architecture which can lead to integration challenges.
