Data Analytics Manager - Payment Success

Checkout.com; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Checkout.com in Dubai is seeking a Data Analytics Manager to lead the Payment Success team's analytics program, crafting a data-driven payments strategy for Tier-1 merchants. You will be the primary contact for merchants on payment performance and work with engineers and data scientists to deliver insights.

You will build tools for monitoring and optimizing performance, run experiments (including ML-based solutions), and partner with cross-functional teams to drive merchant ROI and a superior

Qualifications

• 5 years experience as data scientist with large datasets.
• Payments experience is mandatory.
• Bachelor's degree in Math/Stats/CS/Engineering or equivalent.

Responsibilities

• Deliver optimal payments strategy for top merchants.
• Perform deep-dive data analyses to reveal insights.
• Run experiments and A/B tests including ML solutions.
• Develop automation tools to monitor merchant performance.
• Measure impact on revenue and ROI for stakeholders.
• Collaborate with cross-functional teams for product needs.
• Elevate awareness of merchant services across the executive team.
• Foster cross-team learning.

Skills

Data science

Payments domain

SQL

Python

Git

Spark/Databricks

Education

Bachelor's degree

Tools

Databricks

Retool

API

Job description

We empower businesses in the digital economy and we know that every payment counts. Our Payment Performance teams mission is to manage and optimise merchants payment flow to achieve optimal conversion compliance and cost.

is looking for a Data Analytics Manager to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance. You will play a critical role in defining delivering and building tools for the right insights to showcase the value of our optimal payment strategies.

You will work closely with Payment Performance engineers and data scientists leveraging cutting‑edge technology and data insights. You will also collaborate regularly with other teams and cross‑functional stakeholders to establish priorities and drive merchant performance improvements.

What youll be doing:

• Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
• Conduct deep-dive exploratory data analysis to uncover insights and anomalies
• Conduct experiments and A/B tests to improve performance including ML based solutions.
• Develop cutting‑edge automation tools aimed at monitoring and optimising merchants performance.
• Implement robust measurements to assess how proposed solutions impact merchants performance and revenue providing valuable insights for both internal and external ROI.
• Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
• Elevate internal awareness particularly within the executive team regarding the full spectrum of merchant services and benefits provided
• Drive a culture of cross-team learning and knowledge sharing

Qualifications :

• 5 years experience as data scientist working with large and diversified data sets
• Payments experience is mandatory for this role
• Bachelors degree preferably in Mathematics / Statistics / Computer Science / Engineering Finance or equivalent
• SQL/ Python knowledge to extract & analyse data from our Data Warehouse
• Experience with Git & Spark Databricks Retool API
• Ability to find creative and effective solutions for business problems
• Flexible adaptable and has a willingness to learn

Additional Information :

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world and so do we. Hiring hard‑working people and giving them a community to thrive in is critical to our success.

When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.

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  Employment Type :

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