Once upon a time, decision-makers were drowning in reports. Then came the dashboard, promising salvation in the form of beautifully rendered KPIs and instantly digestible insights. The idea? Consolidate everything onto a single screen, transforming raw data into actionable intelligence. Quite clever, really, though one does wonder if most dashboards end up resembling digital magpie nests – crammed with metrics nobody actually uses but feels obligated to display.
In practice, building a truly useful dashboard is less about technology and more about ruthless prioritization. Too often, they become the lovechild of Excel and PowerPoint, visually appealing but functionally limited. While alternatives like detailed reports and ad-hoc analysis offer deeper dives, dashboards excel at monitoring key trends. Today, they’re ubiquitous – from C-suite overviews to operational monitoring – though the signal-to-noise ratio remains a constant battle. Everyone has one, but few are truly happy with it.
Role centers on data-driven performance management and financial analytics to guide strategic decisions, with real-time dashboards, KPI tracking, and governance-driven data quality. The posting...
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Role centers on data-driven performance management and financial analytics to guide strategic decisions, with real-time dashboards, KPI tracking, and governance-driven data quality. The posting calls for at least five years in financial analysis, BI, or performance management, plus data cleaning, standardisation, and automation. Tech specifics are thin: Excel, advanced modelling, and generic BI tools for dashboards, with an emphasis on data governance and quality control. That vagueness about concrete tools is a warning: Power BI, Tableau, or data cataloging platforms aren’t named, so expectations risk misalignment. The balance of governance and storytelling is real; you’ll translate complex numbers for senior leadership while partnering with finance and operations. Public sector experience helps, but the real market signal is a push toward scalable data quality frameworks and repeatable dashboards—great if you want governance as a moat, risky if you crave tooling clarity.
Senior Analyst in a Business Intelligence and Analytics team promises hands-on BI delivery and cross-functional influence, but the role smells a lot like stacking dashboards on imperfect data. The...
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Senior Analyst in a Business Intelligence and Analytics team promises hands-on BI delivery and cross-functional influence, but the role smells a lot like stacking dashboards on imperfect data. The core tech is solid: Tableau for dashboards, SQL Server and Google BigQuery for data extraction, with custom SQL, stored procedures and triggers as the plumbing. The responsibilities emphasize data structure, quality, and multi-source provenance, which is where many BI roles stall without good data governance. The requirements are a realistic mix of dashboard authoring, complex SQL, and stakeholder liaison, implying a need to translate business questions into data products rather than cute dashboards. Opportunities lie in owning end-to-end BI pipelines and cross-team influence; risks include scope creep, brittle ETL, and underinvestment in data quality. The posting is clear on skills but light on salary and company context.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
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.
Associate Director/Director of User Operations
@ btseofficial
SG | 2025-12-28
DGTL, serving BTSE Group, seeks a Director of User Operations for a global digital asset platform. It’s a leadership role that fuses onboarding, incident resolution, and data-driven engagement...
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Associate Director/Director of User Operations
btseofficial
(SG) FULL TIME | JOB LISTED
DGTL, serving BTSE Group, seeks a Director of User Operations for a global digital asset platform. It’s a leadership role that fuses onboarding, incident resolution, and data-driven engagement with AML/KYC compliance, shadowed by MiCA, MAS, and SEC regulatory gravity. You’ll steer cross-functional work with Marketing, Data, Engineering and Product, optimizing user journeys in Amplitude, Mixpanel, and Google Analytics, while feeding dashboards in Tableau or Looker and CRM playbooks in Salesforce. The market reward is scale and visibility; the real test is balancing user convenience with strict governance, not just fancy tools. It leans hard on people leadership, process design, and automation initiatives rather than pure engineering, and the intermediary posting hints at agency friction alongside the usual fintech hype.
An Assistant Project Manager role in a government PMO, long on administration, stakeholder juggling, and survey lifecycle management. Expect heavy use of SharePoint databases, MS Office suite,...
read more »
An Assistant Project Manager role in a government PMO, long on administration, stakeholder juggling, and survey lifecycle management. Expect heavy use of SharePoint databases, MS Office suite, Teams, and Qualtrics for WOG ICT tool surveys, plus dashboard support in Tableau. The job foregrounds operations, comms calendars, eDM dissemination, after-action reviews, and secretariat duties, with live survey troubleshooting and vendor liaison. While it touts AI tools for admin work, the value add is process discipline, not technical novelty. For data pros, the role is more governance and execution than data engineering or analytics, with limited chance to shape data architecture; salary visibility absent; and potential bureaucratic drag. Strengths: steady environment, cross-agency exposure, real-world dashboards; weaknesses: scope creep, tight timelines, dependence on legacy tools, and regulatory constraints.
Marina Bay Sands invites you to an internship in Crisis Management and Business Continuity within the Security Service Department. The role centers on administering the BCM program dashboard,...
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Marina Bay Sands invites you to an internship in Crisis Management and Business Continuity within the Security Service Department. The role centers on administering the BCM program dashboard, collecting and disseminating risk intel, drafting Emergency Response Plans and BCPs, and coordinating drills with internal teams and external agencies (SPF, SCDF). It requires a full-time matriculated student and offers a taste of governance, not of cutting-edge engineering. Practical tech won’t go far beyond Power BI dashboards and basic workflow automation; system integration troubleshooting is a plus, but don’t expect a modern data stack. Opportunities include real-world risk governance exposure, cross‑agency coordination, and a structured path in BCM. The market sees similar internships as scarce but low‑weight on tech chops; high on process discipline, low on hands-on platform breadth.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Data Product Manager, Marketplace Intelligence & Data
@ shopee
SG | 2025-12-26
Shopee seeks fresh graduates for a Data Product Management role in Singapore, owning data marts and data products to improve internal and external data experiences. The job blends SQL analytics,...
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Data Product Manager, Marketplace Intelligence & Data
shopee
(SG) FULL TIME | JOB LISTED
Shopee seeks fresh graduates for a Data Product Management role in Singapore, owning data marts and data products to improve internal and external data experiences. The job blends SQL analytics, dashboarding with BI tools, and PRD-driven roadmaps in an agile, cross-functional setting. You'll be the data domain expert, orchestrating stakeholders, writing analytics frameworks and data logic, and driving adoption via training and guides. It promises early exposure to a high-volume e-commerce ecosystem and regional impact, but the trap is ambiguous scope, heavy coordination overhead, and the generic lure of 'data product' without seniority or compensation clarity. The standout is explicit ownership of data products and a real path to impact beyond dashboards; the risks are entry-level expectations in a complex business and potential misalignment with traditional PM tracks.
A data-driven analyst role supporting marketing by analyzing and optimizing external traffic sources from paid media, social channels, and referrals. Differentiator: emphasis on tracking setup and...
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A data-driven analyst role supporting marketing by analyzing and optimizing external traffic sources from paid media, social channels, and referrals. Differentiator: emphasis on tracking setup and data accuracy. Risk: potential overreliance on basic SQL skills without advanced analytics expertise.
Infineon’s Asia Pacific Design Center internship positions you at the crossroads of product and test in automotive microcontrollers. The role leans heavily on building and maintaining automation...
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Infineon’s Asia Pacific Design Center internship positions you at the crossroads of product and test in automotive microcontrollers. The role leans heavily on building and maintaining automation tooling (Python/Perl) for data extraction, plus Tableau-driven dashboards on UNIX-hosted MySQL data. You mine heat maps, incident and regression reports, with a nod to forward-looking AI/ML experiments where possible. It’s a classic data-engineering internship recipe: stitch raw data into repeatable dashboards, wire up SQL databases, and dabble in machine learning without guaranteeing a path to production. The prose implies mentorship and project variety, but leaves unanswered questions about duration, compensation, and real ownership. The tech stack is pragmatic rather than flashy, suitable for honing scripting, data wrangling, and governance-aware analytics in an automotive context. Not groundbreaking, but solid if you want industrial-scale data discipline.
Shopee wants a Regional AI & Innovation Lead to act as the LLM champion, turning pilot requests into scalable, high-impact AI solutions that cut friction across regional operations—from customer...
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Shopee wants a Regional AI & Innovation Lead to act as the LLM champion, turning pilot requests into scalable, high-impact AI solutions that cut friction across regional operations—from customer service to fraud. You’ll own end-to-end delivery, lead requirements, BRDs, UAT, and rollout, and shape product roadmaps with cross-functional partners, all while leaning on SQL, Tableau, and Google Analytics to prove impact. The mix of analytics, product ownership, and stakeholder management is clear, not paraded as buzz. What stands out is a role that ties AI pilots directly to operational efficiency, not just fancy demos. What worries me is the governance of POCs and the PM overhead masquerading as data work, plus no salary details. It’s a high-ambition slot, best suited to a pragmatist who talks in metrics and ships.
Risk and Collection Analytics Specialist SG
@ cimb-singapore
SG | 2025-12-22
This role promises breadth across fraud risk analytics, collection optimization, and lending dashboards in a consumer banking context, with heavy reliance on SQL, Python, R, SAS, and BI tooling....
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This role promises breadth across fraud risk analytics, collection optimization, and lending dashboards in a consumer banking context, with heavy reliance on SQL, Python, R, SAS, and BI tooling. You'll build detection models, do post-transaction analysis, and spin up dashboards to track delinquency, recovery, and CBS submissions. The overlap of fraud, collection, and regulatory reporting signals an ambitious, multi-domain data stack that will strain data governance, data quality, and cross-team prioritization. Technically, it's solid for someone who can implement end-to-end pipelines, run clustering and network analyses, and translate insights into operational action. Where it stumbles is clarity on ownership, success metrics, and whether the company actually has mature data platforms or still cobbles together ad-hoc reports. It's practical, if you're prepared for banking-sector bureaucracy, not buzzword bingo.
SENIOR DATA & AI ANALYST - DIGITAL SERVICES & TECHNOLOGY OFFICE
@ ngee-ann-polytechnic
SG | 2025-12-22
A two-year contract role at Ngee Ann Polytechnic supporting AI platform adoption requires building dashboards and enabling self-service analytics with a focus on natural language queries. The...
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This role offers hands-on experience in data analytics, dashboard development, and digital tracking, with a focus on scalable processes and business insights. The position requires technical...
read more »
This role offers hands-on experience in data analytics, dashboard development, and digital tracking, with a focus on scalable processes and business insights. The position requires technical proficiency in Python/R, Power BI, and Tealium, along with an ability to document and optimize data workflows. While the responsibilities are clear and aligned with data engineering best practices, the job description lacks specifics on compensation, career growth, or the company’s technical culture. The emphasis on ‘above the fray’ suggests a focus on process improvement rather than leadership or innovation, which may not align with the expectations of a technical data professional seeking impactful, forward-thinking challenges.
Role centers on data-driven performance management and financial analytics to guide strategic decisions, with real-time dashboards, KPI tracking, and governance-driven data quality. The posting calls for at least five years in financial analysis, BI, or performance management, plus data cleaning, standardisation, and automation. Tech specifics are thin: Excel, advanced modelling, and generic BI tools for dashboards, with an emphasis on data governance and quality control. That vagueness about concrete tools is a warning: Power BI, Tableau, or data cataloging platforms aren’t named, so expectations risk misalignment. The balance of governance and storytelling is real; you’ll translate complex numbers for senior leadership while partnering with finance and operations. Public sector experience helps, but the real market signal is a push toward scalable data quality frameworks and repeatable dashboards—great if you want governance as a moat, risky if you crave tooling clarity.
Senior Analyst in a Business Intelligence and Analytics team promises hands-on BI delivery and cross-functional influence, but the role smells a lot like stacking dashboards on imperfect data. The core tech is solid: Tableau for dashboards, SQL Server and Google BigQuery for data extraction, with custom SQL, stored procedures and triggers as the plumbing. The responsibilities emphasize data structure, quality, and multi-source provenance, which is where many BI roles stall without good data governance. The requirements are a realistic mix of dashboard authoring, complex SQL, and stakeholder liaison, implying a need to translate business questions into data products rather than cute dashboards. Opportunities lie in owning end-to-end BI pipelines and cross-team influence; risks include scope creep, brittle ETL, and underinvestment in data quality. The posting is clear on skills but light on salary and company context.
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.
Associate Director/Director of User Operations
btseofficial
(SG) FULL TIME | JOB LISTED
DGTL, serving BTSE Group, seeks a Director of User Operations for a global digital asset platform. It’s a leadership role that fuses onboarding, incident resolution, and data-driven engagement with AML/KYC compliance, shadowed by MiCA, MAS, and SEC regulatory gravity. You’ll steer cross-functional work with Marketing, Data, Engineering and Product, optimizing user journeys in Amplitude, Mixpanel, and Google Analytics, while feeding dashboards in Tableau or Looker and CRM playbooks in Salesforce. The market reward is scale and visibility; the real test is balancing user convenience with strict governance, not just fancy tools. It leans hard on people leadership, process design, and automation initiatives rather than pure engineering, and the intermediary posting hints at agency friction alongside the usual fintech hype.
An Assistant Project Manager role in a government PMO, long on administration, stakeholder juggling, and survey lifecycle management. Expect heavy use of SharePoint databases, MS Office suite, Teams, and Qualtrics for WOG ICT tool surveys, plus dashboard support in Tableau. The job foregrounds operations, comms calendars, eDM dissemination, after-action reviews, and secretariat duties, with live survey troubleshooting and vendor liaison. While it touts AI tools for admin work, the value add is process discipline, not technical novelty. For data pros, the role is more governance and execution than data engineering or analytics, with limited chance to shape data architecture; salary visibility absent; and potential bureaucratic drag. Strengths: steady environment, cross-agency exposure, real-world dashboards; weaknesses: scope creep, tight timelines, dependence on legacy tools, and regulatory constraints.
Marina Bay Sands invites you to an internship in Crisis Management and Business Continuity within the Security Service Department. The role centers on administering the BCM program dashboard, collecting and disseminating risk intel, drafting Emergency Response Plans and BCPs, and coordinating drills with internal teams and external agencies (SPF, SCDF). It requires a full-time matriculated student and offers a taste of governance, not of cutting-edge engineering. Practical tech won’t go far beyond Power BI dashboards and basic workflow automation; system integration troubleshooting is a plus, but don’t expect a modern data stack. Opportunities include real-world risk governance exposure, cross‑agency coordination, and a structured path in BCM. The market sees similar internships as scarce but low‑weight on tech chops; high on process discipline, low on hands-on platform breadth.
Data Product Manager, Marketplace Intelligence & Data
shopee
(SG) FULL TIME | JOB LISTED
Shopee seeks fresh graduates for a Data Product Management role in Singapore, owning data marts and data products to improve internal and external data experiences. The job blends SQL analytics, dashboarding with BI tools, and PRD-driven roadmaps in an agile, cross-functional setting. You'll be the data domain expert, orchestrating stakeholders, writing analytics frameworks and data logic, and driving adoption via training and guides. It promises early exposure to a high-volume e-commerce ecosystem and regional impact, but the trap is ambiguous scope, heavy coordination overhead, and the generic lure of 'data product' without seniority or compensation clarity. The standout is explicit ownership of data products and a real path to impact beyond dashboards; the risks are entry-level expectations in a complex business and potential misalignment with traditional PM tracks.
A data-driven analyst role supporting marketing by analyzing and optimizing external traffic sources from paid media, social channels, and referrals. Differentiator: emphasis on tracking setup and data accuracy. Risk: potential overreliance on basic SQL skills without advanced analytics expertise.
Infineon’s Asia Pacific Design Center internship positions you at the crossroads of product and test in automotive microcontrollers. The role leans heavily on building and maintaining automation tooling (Python/Perl) for data extraction, plus Tableau-driven dashboards on UNIX-hosted MySQL data. You mine heat maps, incident and regression reports, with a nod to forward-looking AI/ML experiments where possible. It’s a classic data-engineering internship recipe: stitch raw data into repeatable dashboards, wire up SQL databases, and dabble in machine learning without guaranteeing a path to production. The prose implies mentorship and project variety, but leaves unanswered questions about duration, compensation, and real ownership. The tech stack is pragmatic rather than flashy, suitable for honing scripting, data wrangling, and governance-aware analytics in an automotive context. Not groundbreaking, but solid if you want industrial-scale data discipline.
Shopee wants a Regional AI & Innovation Lead to act as the LLM champion, turning pilot requests into scalable, high-impact AI solutions that cut friction across regional operations—from customer service to fraud. You’ll own end-to-end delivery, lead requirements, BRDs, UAT, and rollout, and shape product roadmaps with cross-functional partners, all while leaning on SQL, Tableau, and Google Analytics to prove impact. The mix of analytics, product ownership, and stakeholder management is clear, not paraded as buzz. What stands out is a role that ties AI pilots directly to operational efficiency, not just fancy demos. What worries me is the governance of POCs and the PM overhead masquerading as data work, plus no salary details. It’s a high-ambition slot, best suited to a pragmatist who talks in metrics and ships.
This role promises breadth across fraud risk analytics, collection optimization, and lending dashboards in a consumer banking context, with heavy reliance on SQL, Python, R, SAS, and BI tooling. You'll build detection models, do post-transaction analysis, and spin up dashboards to track delinquency, recovery, and CBS submissions. The overlap of fraud, collection, and regulatory reporting signals an ambitious, multi-domain data stack that will strain data governance, data quality, and cross-team prioritization. Technically, it's solid for someone who can implement end-to-end pipelines, run clustering and network analyses, and translate insights into operational action. Where it stumbles is clarity on ownership, success metrics, and whether the company actually has mature data platforms or still cobbles together ad-hoc reports. It's practical, if you're prepared for banking-sector bureaucracy, not buzzword bingo.
A two-year contract role at Ngee Ann Polytechnic supporting AI platform adoption requires building dashboards and enabling self-service analytics with a focus on natural language queries. The role's differentiator lies in assisting LLM/AI experimentation, but a potential risk is the reliance on a variety of tools like Power BI, Databricks, and natural language queries, which could lead to integration issues. Experience with SQL and BI tools is necessary; exposure to AI/ML is preferred.
This role offers hands-on experience in data analytics, dashboard development, and digital tracking, with a focus on scalable processes and business insights. The position requires technical proficiency in Python/R, Power BI, and Tealium, along with an ability to document and optimize data workflows. While the responsibilities are clear and aligned with data engineering best practices, the job description lacks specifics on compensation, career growth, or the company’s technical culture. The emphasis on ‘above the fray’ suggests a focus on process improvement rather than leadership or innovation, which may not align with the expectations of a technical data professional seeking impactful, forward-thinking challenges.
