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Western Union Quantitative Engineering/Programmer – Pricing Analytics (SQL) in Vilnius, Lithuania

Does your expertise lie in pricing strategies? Are you excited about developing a pricing strategy to drive revenue and customer acquisition? Do you want to work on a brand-new team with high visibility? Then join Western Union as the Quantitative Engineering/Programmer – Pricing Analytics (SQL)!

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 is enabled by trust and respect

This role will sit in the Global Pricing team and report to the Pricing Product & Operations Lead. 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. We’ll be looking to you to lead transformation of enterprise data into analytical datasets and automation of data flow & processing for use by the Pricing and Consumer Analytics teams. In addition, define, apply and automate standardized data cleansing rules and logic and partner with the Western Union Platform & Product team to ensure all source data is co-located, accessible and of high-quality in the Pricing Discovery environment.

Successful applicants will have strong intellectual curiosity and demonstrated experience in both traditional data warehousing and big data technologies such as SQL, Python, Snowflake, Power BI, Hadoop. Experience with SageMaker and AWS or other major cloud technologies is a plus, understanding of predictive and prescriptive analytics and data science principles and experience working closely with Data Scientists. The education and experience that would be of interest to us includes B.A./B.S. degree in Computer Science, Engineering, other technical field,  3-5 years experience, at least 3 of which include supporting analytics and/or data science capabilities and any experience in financial services is a plus

Join us, and let’s move money for better

Western Union is transforming its business and shaping the financial services sector by driving quality, convenience, and customer service to new levels of excellence. It’s an exciting time for our organization, as the largest cross-border money transfer operator, trusted by millions of consumers around the world. If you’re ready to unleash your potential to help drive change through bottom-up innovation, apply now.

We’re a company on the move, and we want our people to grow and develop. You’ll have plenty of opportunities to learn new skills and build a career, as well as a great salary and benefits package.

We are passionate about our diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams, while reflecting the communities we serve. We do not discriminate on the basis of race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status.

Annual base salary gross: 20,093 – 47,007,EUR

The base salary range represents the low and high end of the Western Union salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, and competencies. The salary is one component of Western Union’s total compensation package for employees. Other rewards and benefits include short term incentives, health insurance (several options to choose from), accident and life insurance, access to the best in class learning and development platforms, flexible work arrangement, to name just a few!