A Senior Web Analytics Engineer role has opened up in Raffles Place, Singapore. It's full-time and on-site, with pay set at S$12,000 a month, and it sits squarely in the city's financial district rather than one of the newer tech clusters further out.
The daily work centers on ensuring the data a business relies on is accurate. That means implementing tracking and tagging setups based on what the analytics and product teams need measured, then debugging the inevitable discrepancies that show up between what a dashboard reports and what actually happened on the site. Documentation is a real part of the job too, since a tracking spec that only lives in someone's head becomes a mess the moment that person moves teams. Reviewing tagging implementations and analytics code from other engineers rounds out the week, catching issues before they quietly corrupt a report three months down the line.
- Google Analytics, at a level suited to enterprise-scale tracking
- Tag management, including setup and troubleshooting
- Data visualization for turning raw metrics into something usable
- SQL, for querying and validating the data behind the dashboards
Six years of relevant experience is required here, along with a bachelor's degree. What tends to carry more weight at the interview stage is whether a candidate can walk through a past tracking implementation end-to-end, including where it went wrong and how the fix was validated, rather than just naming tools they've touched.
A handful of additional skills would strengthen an application without being strictly required. Direct experience with GA4 specifically matters more each year as it replaces older analytics setups across most companies. Comfort querying BigQuery is a natural extension of the SQL requirement and often shows up once analytics data starts living in a data warehouse rather than on a single platform. Familiarity with a visualization tool like Looker, Tableau, or Power BI helps, too, since raw dashboards in Google Analytics rarely meet what stakeholders actually want to see.
The benefits reflect the local employment structure here rather than a generic package. Health insurance is included, paid time off is standard, and performance-linked bonuses are part of total compensation. On top of that, statutory CPF retirement contributions and annual leave apply as they do across the Singapore market, which is worth noting if you're comparing this listing on Naukri Mitra with a role elsewhere with a different benefits structure entirely.
- Health insurance
- Paid time off
- Performance-linked bonuses
- Statutory CPF retirement contributions
- Annual leave, standard for the Singapore market
Raffles Place has a fairly specific mix of employers, heavier on finance and professional services than on pure tech, and web analytics engineer jobs in Singapore based there often come with that context attached: the data questions being solved tend to touch on revenue and compliance reporting as much as on marketing performance. That's a slightly different day-to-day than a similar title at a consumer tech company further out in the city.
Pay of S$12,000 per month lines up reasonably well with what a web analytics engineer's salary in Singapore should be at the senior level, particularly given the added weight of a financial-district employer. Candidates coming from web analytics engineer jobs for experienced professionals elsewhere in the region should find the technical bar familiar, even if the industry context here is a bit more finance-adjacent than most.
Anyone who meets the experience and education requirements above and has genuine hands-on tracking and analytics work to point to should apply directly through the listing.
