Are you ready for a role that takes your analytical skills to a whole new level? How about offering up your skills in a global business that is committed to moving money for better?
Join Western Union as a Senior Analyst, Customer Analytics.
Motivated by our values : purpose driven, globally minded, and trustworthy & respectful
We’re a FinTech that’s using insight from customers and colleagues worldwide to improve financial services for families, small businesses, multinational corporations, and non-profit organizations.
We’re a team of over 10,000 people spanning 200 countries and territories. We believe when money moves, better things happen.
Better requires process discipline and simplification
In this role, you will be responsible for building and maintaining a scalable centralized analytics data environment to support Pricing and Consumer Analytics.
The preferred candidate will have both Data Engineering and Analytics skills experience and be able to manage large datasets to fuel analytical applications and data science modeling.
You’ll lead transformation of enterprise data into analytical datasets and automation of data flow and processing for use by the Pricing and Consumer Analytics teams.
Also, you’ll define, apply and automate standardized data cleansing rules and logic. You’ll create and monitor data quality scripts and tools and partner with the Product & Platform team to resolve them.
Besides, you’ll convert prototype model code to be production-ready for automated updates, calibration, and integration into the Machine Learning pipeline.
You’ll support design of the future state of pricing tools, data and processes.
For this role, you’ll need a bachelor’s degree or student in Computer Science, Engineering, or other technical career field related and you’ll need to have more than 2 years of experience in supporting analytics and / or data science teams.
Experience in financial services a plus. Advanced English level is required. You’ll need strong intellectual curiosity and demonstrated experience in both traditional data warehousing and big data technologies .
Also, you’ll need experience with SQL, Python, Snowflake, Power BI, Hadoop, SageMaker and AWS or other major cloud technologies is a plus.
The key to fulfilling this role will be to bring a mindset of continuous improvement, driving personal growth and development.
Besides, you’ll be self-starter with ability to be resourceful and manage multiple projects simultaneously. You’ll be able to work in a fast-paced environment, iterates and pivots quickly.
You’ll have a developed understanding of best practices around data modeling, data pipelining, performance optimization and reporting techniques.