An Engineering Infrastructure TPM role at Shopee double-downs on cloud-native IaaS/PaaS with a product lens: translate technical use cases into a management console, own the roadmap, and shepherd...
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An Engineering Infrastructure TPM role at Shopee double-downs on cloud-native IaaS/PaaS with a product lens: translate technical use cases into a management console, own the roadmap, and shepherd feature rollouts with canary and A/B tests. It demands SQL fluency for metrics and a taste for UI/UX via Figma, plus the political dexterity to harmonize developers, SREs, and business teams. The job blends product design with platform stability, data-driven reviews, and risk-aware project governance, all under agile sprints. What stands out is the rare blend of product leadership for infrastructure at scale; what nags is the potential for bureaucratic drag in a cloud-heavy, vendor-agnostic platform. If you want to own cloud-native UX for a vast marketplace, this is one of the few paths that actually gets you there; otherwise, it’s a slog through governance gates.
Circles' Growth-role sits at the crossroads of onboarding, sales analytics, and campaign execution in a fast-growing SaaS telco play. The job promises exposure to CRM workflows, data-driven sales...
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Circles' Growth-role sits at the crossroads of onboarding, sales analytics, and campaign execution in a fast-growing SaaS telco play. The job promises exposure to CRM workflows, data-driven sales optimization, and cross-team coordination as it marches through onboarding, retailer support, and on-site roadshows. It is broad and operational rather than a pure data engineering gig: you’ll slice basic performance signals, maintain the marketing calendar, and liaise between marketing, sales, and product teams. The payoff is practical, with real touchpoints in customer experience and revenue generation; the trap is scope creep and dependence on manual processes in a high-velocity environment. Tools aren’t spelled out, so expect vague tech requirements and a need to fill gaps with improvisation. The company’s pedigree and investor backing sound credible, but the role’s tech depth is patchy at best.
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.
Circles' New Business Build intern role plugs data analysis straight into product discovery, asking you to interrogate customer behavior, market trends, and ops metrics with Excel and SQL. You'll...
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Circles' New Business Build intern role plugs data analysis straight into product discovery, asking you to interrogate customer behavior, market trends, and ops metrics with Excel and SQL. You'll design surveys, gather insights, and help shape data-driven roadmaps while collaborating across functions. The six-month window is plausible, but the internship label threatens misaligned expectations in a fast-moving tech group backed by serious investors. The core attraction is real exposure to Circles' multi-brand telco platform and a chance to turn numbers into product direction, not just dashboards. But the role risks being light on coding, architecture, or end-to-end ownership, relying on analytics nuance rather than product leadership. Strong for hands-on data folks seeking tangible impact; weaker for those craving rapid, full-cycle product accountability in a growth-stage outfit.
Corporate Strategy and Finance Intern, FP&A
@ circles1
SG | 2025-12-25
Circles pitches a global telco tech stack and three brands, but the role is a Finance Intern in FP&A, Singapore, Jan–Jun 2026. Expect budgeting, forecasting, and month-end reporting, plus creating...
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Corporate Strategy and Finance Intern, FP&A
circles1
(SG) INTERNSHIP | JOB LISTED
Circles pitches a global telco tech stack and three brands, but the role is a Finance Intern in FP&A, Singapore, Jan–Jun 2026. Expect budgeting, forecasting, and month-end reporting, plus creating and updating detailed financial models and KPI slides for monthly reviews. Ad-hoc projects include implementing Datarails and VBA automation, with heavy reliance on Excel and PowerPoint. There’s a whiff of modern tooling, but no explicit data engineering or coding work; if you’re hunting for SQL, pipelines, or analytics engineering, you’ll be disappointed. The position promises autonomy and owning a portfolio in a fast-growing startup, which is attractive but vague for a six-month internship. In the market, this stands out for telco-scale exposure and cross-brand FP&A, but falls short for data practitioners seeking hands-on data-engineering experience.
KPMG Singapore seeks an Associate in Forensic Technology to blend investigations, data analytics and digital forensics into client engagements. The role centers on e-discovery data flows,...
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KPMG Singapore seeks an Associate in Forensic Technology to blend investigations, data analytics and digital forensics into client engagements. The role centers on e-discovery data flows, preserving chain-of-custody, forensic imaging of devices and cloud stores, malware and log analysis, and translating artefacts into audit-ready findings. You’ll handle Windows and Mac artefacts, draft reports, and support AML/CTF and regulatory-disclosure work. Skills in forensic software, SQL and database basics, and programming in any popular language are prized; cloud familiarity and OS literacy are expected. It’s a client-facing, project-led path with chances to draft proposals and coordinate team delivery. What stands out is the clear emphasis on practical data handling within regulated investigations — but it remains a traditional professional-services route, heavy on documentation, governance, and non-trivial compliance risk, with limited salary clarity disclosed.
Senior CRM Executive roles promise strategic ownership of customer engagement via Braze, Salesforce Marketing Cloud, and HubSpot, with end-to-end campaigns, lifecycle journeys, and analytics to...
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Senior CRM Executive roles promise strategic ownership of customer engagement via Braze, Salesforce Marketing Cloud, and HubSpot, with end-to-end campaigns, lifecycle journeys, and analytics to justify ROI. The tech stack reads like a vendor showcase rather than a data platform: Marketing Automation Tools, Customer Data Platform, Data Warehousing Tools, plus HTML eDM content creation. Expect to juggle multiple stakeholders, manage vendor relationships, and shepherd projects through Agile cycles. The role favors martech integration and experimentation, not deep data engineering or model-building. The data workload is more about behavioural analytics to shape campaigns, but governance and pipeline reliability can be vague. Opportunities lie in shaping personalized journeys, maturing the CRM stack, and gaining cross-functional influence in fashion retail contexts; watch for scope creep and dependence on vendor features rather than scalable data pipelines.
An Engineering Infrastructure TPM role at Shopee double-downs on cloud-native IaaS/PaaS with a product lens: translate technical use cases into a management console, own the roadmap, and shepherd feature rollouts with canary and A/B tests. It demands SQL fluency for metrics and a taste for UI/UX via Figma, plus the political dexterity to harmonize developers, SREs, and business teams. The job blends product design with platform stability, data-driven reviews, and risk-aware project governance, all under agile sprints. What stands out is the rare blend of product leadership for infrastructure at scale; what nags is the potential for bureaucratic drag in a cloud-heavy, vendor-agnostic platform. If you want to own cloud-native UX for a vast marketplace, this is one of the few paths that actually gets you there; otherwise, it’s a slog through governance gates.
Circles' Growth-role sits at the crossroads of onboarding, sales analytics, and campaign execution in a fast-growing SaaS telco play. The job promises exposure to CRM workflows, data-driven sales optimization, and cross-team coordination as it marches through onboarding, retailer support, and on-site roadshows. It is broad and operational rather than a pure data engineering gig: you’ll slice basic performance signals, maintain the marketing calendar, and liaise between marketing, sales, and product teams. The payoff is practical, with real touchpoints in customer experience and revenue generation; the trap is scope creep and dependence on manual processes in a high-velocity environment. Tools aren’t spelled out, so expect vague tech requirements and a need to fill gaps with improvisation. The company’s pedigree and investor backing sound credible, but the role’s tech depth is patchy at best.
Circles' New Business Build intern role plugs data analysis straight into product discovery, asking you to interrogate customer behavior, market trends, and ops metrics with Excel and SQL. You'll design surveys, gather insights, and help shape data-driven roadmaps while collaborating across functions. The six-month window is plausible, but the internship label threatens misaligned expectations in a fast-moving tech group backed by serious investors. The core attraction is real exposure to Circles' multi-brand telco platform and a chance to turn numbers into product direction, not just dashboards. But the role risks being light on coding, architecture, or end-to-end ownership, relying on analytics nuance rather than product leadership. Strong for hands-on data folks seeking tangible impact; weaker for those craving rapid, full-cycle product accountability in a growth-stage outfit.
Corporate Strategy and Finance Intern, FP&A
circles1
(SG) INTERNSHIP | JOB LISTED
Circles pitches a global telco tech stack and three brands, but the role is a Finance Intern in FP&A, Singapore, Jan–Jun 2026. Expect budgeting, forecasting, and month-end reporting, plus creating and updating detailed financial models and KPI slides for monthly reviews. Ad-hoc projects include implementing Datarails and VBA automation, with heavy reliance on Excel and PowerPoint. There’s a whiff of modern tooling, but no explicit data engineering or coding work; if you’re hunting for SQL, pipelines, or analytics engineering, you’ll be disappointed. The position promises autonomy and owning a portfolio in a fast-growing startup, which is attractive but vague for a six-month internship. In the market, this stands out for telco-scale exposure and cross-brand FP&A, but falls short for data practitioners seeking hands-on data-engineering experience.
KPMG Singapore seeks an Associate in Forensic Technology to blend investigations, data analytics and digital forensics into client engagements. The role centers on e-discovery data flows, preserving chain-of-custody, forensic imaging of devices and cloud stores, malware and log analysis, and translating artefacts into audit-ready findings. You’ll handle Windows and Mac artefacts, draft reports, and support AML/CTF and regulatory-disclosure work. Skills in forensic software, SQL and database basics, and programming in any popular language are prized; cloud familiarity and OS literacy are expected. It’s a client-facing, project-led path with chances to draft proposals and coordinate team delivery. What stands out is the clear emphasis on practical data handling within regulated investigations — but it remains a traditional professional-services route, heavy on documentation, governance, and non-trivial compliance risk, with limited salary clarity disclosed.
Senior CRM Executive roles promise strategic ownership of customer engagement via Braze, Salesforce Marketing Cloud, and HubSpot, with end-to-end campaigns, lifecycle journeys, and analytics to justify ROI. The tech stack reads like a vendor showcase rather than a data platform: Marketing Automation Tools, Customer Data Platform, Data Warehousing Tools, plus HTML eDM content creation. Expect to juggle multiple stakeholders, manage vendor relationships, and shepherd projects through Agile cycles. The role favors martech integration and experimentation, not deep data engineering or model-building. The data workload is more about behavioural analytics to shape campaigns, but governance and pipeline reliability can be vague. Opportunities lie in shaping personalized journeys, maturing the CRM stack, and gaining cross-functional influence in fashion retail contexts; watch for scope creep and dependence on vendor features rather than scalable data pipelines.
