Singapore-based, APAC-wide BI leadership role that blends governance, platform development, and strategic storytelling. You own the Commercial BI stack end-to-end—from CV Portal and Data Cube to...
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Singapore-based, APAC-wide BI leadership role that blends governance, platform development, and strategic storytelling. You own the Commercial BI stack end-to-end—from CV Portal and Data Cube to automating reports and driving adoption, with PoCs in Tableau and governance via Collibra. The job leans heavy into harmonization, data governance, and a regional SLA-driven Shared Service Center for Cognos report extraction, plus cross-country influence and executive storytelling using the APAC Balanced Scorecard. It demands expert Tableau/Power BI, data modeling, ERP chops (Oracle, SAP), and comfort with data lakes and data marts; SQL stamina and strong Excel/PowerPoint are assumed. Preferred skills include Python or R and perhaps Asian language fluency to actually talk to markets. Travel is modest but real. The big risk: scope creep, relentless standards maintenance, and a management layer heavy on governance rather than raw data wrangling; compensation is not disclosed.
Agoda’s Bangkok-based role sits at the data-trenches of performance marketing, not a plush data-science lab. You’ll experiment with text and display campaigns across Google, Bing, Baidu, Naver,...
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Agoda’s Bangkok-based role sits at the data-trenches of performance marketing, not a plush data-science lab. You’ll experiment with text and display campaigns across Google, Bing, Baidu, Naver, and Meta, then translate tests into repeatable tweaks and dashboards for account managers. The toolkit reads like a road map: Python, SQL, R, SAS, SPSS, Tableau, Excel, plus VBA for the brave. Modeling and data storytelling are prized, but the role demands grit: handling vast experimental data at scale, shipping insights with speed, and surviving a global, multi-national team. Agoda’s Booking Holdings backing is the real magnet, and the Bangkok relocation package helps. Still, this sits squarely in the analytics-engineer niche rather than a pure data science or product-engineering role—great for impact, not glamor.
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.
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.
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.
Senior Data Analyst, Institutional Data
@ okxofficial
SG | 2025-12-27
OKX’s posting reads like a hybrid analytics role in a crypto trading house: heavy on exploration, preprocessing, EDA, and predictive modeling, with Python and SQL as the core tools and a dash of...
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OKX’s posting reads like a hybrid analytics role in a crypto trading house: heavy on exploration, preprocessing, EDA, and predictive modeling, with Python and SQL as the core tools and a dash of data visualization for non-technical stakeholders. What’s intriguing is the explicit crypto/finance angle, Mandarin-English fluency, and a stated demand for a five-year track record, which screens for hands-on impact rather than glossy dashboards. If you hope this is a clean data engineering job, you’ll be disappointed: the description mixes data science tasks, BI reporting, and process automation without clarifying data platform stacks, streaming vs. batch, data quality guarantees, or deployment responsibility. The role looks strong for an analytics engineer who wants to own end-to-end analytic workflows in a regulated fintech/crypto context, but it’s light on infrastructure, scalability, and real production data engineering hygiene. Also, Singapore visa caveat narrows the pool, but at least honesty.
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.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
An entry-to-mid level analytics role with Singtel, translating data into executives-facing dashboards and insights to drive planning, acquisition, retention, and cost optimization. The job...
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An entry-to-mid level analytics role with Singtel, translating data into executives-facing dashboards and insights to drive planning, acquisition, retention, and cost optimization. The job emphasizes BI deliverables, market sizing, competitive analysis, and cross‑stakeholder partnership with IT, sales, and product teams. With only 1–2 years of experience expected and explicit Fresh graduate eligibility, it's a junior role focused on reporting, data visualization, and basic data modeling rather than building scalable data pipelines. The standout is direct exposure to Singtel Singapore and Group management in budgeting and strategy reviews; the downside is the tooling scope appears constrained to Excel, PowerPoint and unspecified visualization tools, with little mention of SQL, cloud platforms, ETL, or modern data engineering practices. Salary details are absent, which hardly helps in market comparison.
Senior Manager, Insights and Architecture (2-years contract)
@ singaporepools
SG | 2025-12-25
Senior Manager, Insights & Analytics at a Singapore-based, not-for-profit government-linked outfit (Singapore Pools/Tote Board) promises to build data analytics capabilities from the ground up,...
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Senior Manager, Insights and Architecture (2-years contract)
singaporepools
(SG) CONTRACT | JOB LISTED
Senior Manager, Insights & Analytics at a Singapore-based, not-for-profit government-linked outfit (Singapore Pools/Tote Board) promises to build data analytics capabilities from the ground up, orchestrating data from a data lake and data warehouse, designing dashboards and management reports, and steering governance and policy across the data stack. The role demands 8+ years in data analytics, SQL, Excel modelling, and experience leading a team, with Tableau and other BI tools for visual storytelling. Expect heavy stakeholder management, periodic data policy reviews, and alignment of data architecture with business strategy. The hurdles are real: bureaucratic IT policies, ambiguous requirements, and the tension between governance and speed. It stands out for governance-led data strategy and architecture emphasis, but the tech stack reads as traditional rather than cutting-edge.
As an entry role at Logicalis, you’ll develop Power BI dashboards, automate data collection with Power Automate and Power Apps, and translate stakeholder needs into actionable metrics across ERP,...
read more »
As an entry role at Logicalis, you’ll develop Power BI dashboards, automate data collection with Power Automate and Power Apps, and translate stakeholder needs into actionable metrics across ERP, CRM, and ITSM touchpoints. The upside is hands-on visibility into governance, data quality, and the practicalities of digital transformation within a services firm that brands itself as Architects of Change. The caveats are real: this is heavy on BI and MS-stack tooling, with limited evidence of scalable data engineering, cloud-native pipelines, or production-ready data platforms. Success hinges on mastering DAX, SQL, and the Power Platform, plus solid stakeholder communication, not on cutting-edge ML or big data. Logicalis’ brand refresh signals growth, but the role may underdeliver for those seeking deep data engineering or independent impact outside governance-heavy projects.
Singapore-based, APAC-wide BI leadership role that blends governance, platform development, and strategic storytelling. You own the Commercial BI stack end-to-end—from CV Portal and Data Cube to automating reports and driving adoption, with PoCs in Tableau and governance via Collibra. The job leans heavy into harmonization, data governance, and a regional SLA-driven Shared Service Center for Cognos report extraction, plus cross-country influence and executive storytelling using the APAC Balanced Scorecard. It demands expert Tableau/Power BI, data modeling, ERP chops (Oracle, SAP), and comfort with data lakes and data marts; SQL stamina and strong Excel/PowerPoint are assumed. Preferred skills include Python or R and perhaps Asian language fluency to actually talk to markets. Travel is modest but real. The big risk: scope creep, relentless standards maintenance, and a management layer heavy on governance rather than raw data wrangling; compensation is not disclosed.
Agoda’s Bangkok-based role sits at the data-trenches of performance marketing, not a plush data-science lab. You’ll experiment with text and display campaigns across Google, Bing, Baidu, Naver, and Meta, then translate tests into repeatable tweaks and dashboards for account managers. The toolkit reads like a road map: Python, SQL, R, SAS, SPSS, Tableau, Excel, plus VBA for the brave. Modeling and data storytelling are prized, but the role demands grit: handling vast experimental data at scale, shipping insights with speed, and surviving a global, multi-national team. Agoda’s Booking Holdings backing is the real magnet, and the Bangkok relocation package helps. Still, this sits squarely in the analytics-engineer niche rather than a pure data science or product-engineering role—great for impact, not glamor.
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.
OKX’s posting reads like a hybrid analytics role in a crypto trading house: heavy on exploration, preprocessing, EDA, and predictive modeling, with Python and SQL as the core tools and a dash of data visualization for non-technical stakeholders. What’s intriguing is the explicit crypto/finance angle, Mandarin-English fluency, and a stated demand for a five-year track record, which screens for hands-on impact rather than glossy dashboards. If you hope this is a clean data engineering job, you’ll be disappointed: the description mixes data science tasks, BI reporting, and process automation without clarifying data platform stacks, streaming vs. batch, data quality guarantees, or deployment responsibility. The role looks strong for an analytics engineer who wants to own end-to-end analytic workflows in a regulated fintech/crypto context, but it’s light on infrastructure, scalability, and real production data engineering hygiene. Also, Singapore visa caveat narrows the pool, but at least honesty.
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.
An entry-to-mid level analytics role with Singtel, translating data into executives-facing dashboards and insights to drive planning, acquisition, retention, and cost optimization. The job emphasizes BI deliverables, market sizing, competitive analysis, and cross‑stakeholder partnership with IT, sales, and product teams. With only 1–2 years of experience expected and explicit Fresh graduate eligibility, it's a junior role focused on reporting, data visualization, and basic data modeling rather than building scalable data pipelines. The standout is direct exposure to Singtel Singapore and Group management in budgeting and strategy reviews; the downside is the tooling scope appears constrained to Excel, PowerPoint and unspecified visualization tools, with little mention of SQL, cloud platforms, ETL, or modern data engineering practices. Salary details are absent, which hardly helps in market comparison.
Senior Manager, Insights and Architecture (2-years contract)
singaporepools
(SG) CONTRACT | JOB LISTED
Senior Manager, Insights & Analytics at a Singapore-based, not-for-profit government-linked outfit (Singapore Pools/Tote Board) promises to build data analytics capabilities from the ground up, orchestrating data from a data lake and data warehouse, designing dashboards and management reports, and steering governance and policy across the data stack. The role demands 8+ years in data analytics, SQL, Excel modelling, and experience leading a team, with Tableau and other BI tools for visual storytelling. Expect heavy stakeholder management, periodic data policy reviews, and alignment of data architecture with business strategy. The hurdles are real: bureaucratic IT policies, ambiguous requirements, and the tension between governance and speed. It stands out for governance-led data strategy and architecture emphasis, but the tech stack reads as traditional rather than cutting-edge.
As an entry role at Logicalis, you’ll develop Power BI dashboards, automate data collection with Power Automate and Power Apps, and translate stakeholder needs into actionable metrics across ERP, CRM, and ITSM touchpoints. The upside is hands-on visibility into governance, data quality, and the practicalities of digital transformation within a services firm that brands itself as Architects of Change. The caveats are real: this is heavy on BI and MS-stack tooling, with limited evidence of scalable data engineering, cloud-native pipelines, or production-ready data platforms. Success hinges on mastering DAX, SQL, and the Power Platform, plus solid stakeholder communication, not on cutting-edge ML or big data. Logicalis’ brand refresh signals growth, but the role may underdeliver for those seeking deep data engineering or independent impact outside governance-heavy projects.
