Skip to content

Open nowPosted 7 days ago

Senior Analytics Manager (Payments)

MyCareersFuture94,028 open roles

Pay
SGD 15,000 – SGD 22,000 a Monthly
Where
West, Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Analytics Manager (Payments)MyCareersFuture · West, Singapore
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 7 days ago

The posting

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The Analytics team empowers data-driven decision-making across our product and business units within the Grab Financial Services ecosystem. As part of the Payments Tech Family, we play a crucial role in driving cashless payments across all Grab verticals, focusing on both enhancing the payment experience and strengthening core payment capabilities. If you thrive on intellectually stimulating challenges and have a passion for data, you'll find a great fit with us. Are you skilled in data wrangling, modeling, and visualization? Do you enjoy experimenting with statistics and mathematics to discover new insights? If so, we'd love to have you on our team. Beyond technical expertise, we seek individuals who embody our core values—the 4Hs: heart, hunger, honor, and humility.

Get to know the Role

You will lead payments analytics teams, working closely with cross-functional partners (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will evaluate the feasibility of new business/product ideas and provide actionable recommendations. This role reports into the Head of Analytics, GrabFin & Platform and is based onsite in Grab Singapore office, offering significant opportunities to shape data strategy and grow as a leader. If this sounds like you, apply now!

The Critical Tasks You Will Perform

  • Lead the exploration of business opportunities and formulate data-driven hypotheses to address key challenges, adapting in-production models to new markets to enhance product velocity.
  • Collaborate with product and engineering teams to design, execute, and analyze controlled experiments that directly impact key product decisions.
  • Develop advanced statistical models (e.g., mixed effect, causal inference) to understand interaction effects and establish anomaly detection systems to monitor product metrics.
  • Uphold rigorous standards in measurement and analysis, facilitating the development of analytics tools to assist wider teams in debugging and data summarization.
  • Support team members in their professional development, fostering a data-driven culture and coaching analysts on both classical statistical rigor and modern analytics techniques.
  • Direct the team's adoption of LLM and GenAI-assisted workflows (e.g., natural language to SQL, automated insights) to enhance the speed and quality of decision-making, while prioritizing opportunities to embed AI capabilities into internal tooling.

Qualifications

What Essential Skills You Will Need

  • At least 8 years of experience in Analytics, Product/Business Analytics, or Data Strategy roles, ideally within a Payments or Direct-to-Consumer company dealing with large, high-velocity data.
  • A Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Business Analytics, Operations Research, Statistics, or related fields).
  • Advanced proficiency in data query and manipulation using SQL, alongside expertise in data visualization tools such as PowerBI.
  • Solid foundation in Big Data technologies (e.g., Spark, PySpark) and practical experience conducting controlled experiments in an industry setting.
  • A proven track record of using quantitative analysis to influence product management and impact key business decisions.
  • You have experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.

Additional information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.
  • With GrabFlex, create a benefits package that suits your needs and aspirations.
  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
  • Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.