# Analytics Project Manager

**Company**: Visa
**Location**: Singapore, SG
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/SG---Singapore/Manager--Data-Science---Analytics-Consulting_REF082107W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0c559936-21d

## Description

We are seeking an Analytics Project Manager to join our team at Visa. As an Analytics Project Manager, you will manage and deliver analytics projects from conception to completion with actionable insights and recommendations. You will define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques.

Responsibilities:

- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations

- Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques

- Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients

- Enhance existing analytic techniques by promoting new methodology and best practices in analytics

- Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions

- Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies

- Collaborate with cross-functional teams to build and automate re-usable and scalable solutions

Qualifications:

- 5+ years experience plus a Bachelor’s degree in an analytical field such as data science, computer science, computer engineering, mathematics, or similar others (graduate degree is a plus)

- Python: Experience with common ML libraries and PySpark, familiarity with developing in Jupyter notebooks

- ML techniques: Strong experience with XGBoost; solid understanding of training, validation, and test splits, as well as optimal feature selection

- ML training lifecycle: Proficiency in data hygiene, EDA patterns, hypothesis formulation, sampling, and model outcome reporting (e.g. VDR and false positive rates)

- Hands-on in developing machine learning solutions, delivering end-to-end data science projects, scaling up data solutions

- Proficiency in statistical techniques such as Regression, Decision Trees, Random Forests, Neural Networks, etc.

- Proficiency in data mining and modeling techniques like Predictive Modeling, Classification, and Decision Trees

- Proficient in big data aggregation using Hive, Spark, SQL, R/Python, and familiar with typical deep learning toolkits and packages

- Competence in Excel and BI Tools such as PowerPoint or Tableau

- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically

- Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization

- Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects

- Experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders

Good-to-have Qualifications:

- Cloud: Experience with AWS (or other cloud environments) and the ability to ramp up quickly

- Experience in developing and applying Generative AI and Agentic AI solutions

- Experience in geospatial data analysis

- Banking /Payment /e-Commerce industry experiences are not desired but preferred.

## Skills

### Required
- Python
- PySpark
- XGBoost
- Machine Learning
- Data Science
- Statistics
- Data Mining
- Big Data
- Hive
- Spark
- SQL
- R
- Excel
- Tableau

### Nice to have
- AWS
- Generative AI
- Agentic AI
- Geospatial Data Analysis
- Banking
- Payment
- e-Commerce

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Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/SG---Singapore/Manager--Data-Science---Analytics-Consulting_REF082107W?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)