Pricing Data Analysis Manager
Western Union
Santa Ana, San Jose, CR
hace 5 días

Pricing Data Analysis Manager Santa Ana, Costa Rica

Are you ready to join an advanced team in a global company that customers depend on to prevent fraudulent transactions? Are you energized by working with others to tackle problems and improve processes?

Join Western Union as a Pricing Data Analysis Manager.

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 8,000 employees serving 200 countries and territories. We believe when money moves, better things happen.

Better requires process discipline and simplification

As a member of the Global Pricing Team, you will be responsible for building and maintaining a scalable centralized analytics data environment to support Pricing and Customer Analytics businesses.

You will develop database solutions by defining a structure, functional capabilities, security, back-up and recovery specifications.

Conducting business analyses for large-scale initiatives to support the design of future pricing tools, strategies and decision will be an essential part of your role too.

Other core functions you will have include the creation and monitoring of data quality scripts and tools, converting prototype model code to be production- ready for automated updates, and lead pricing initiatives across the Globe.

For such a detail-driven role, you need to have a bachelor’s degree in Business or Engineering and 6-8 years of working experience in a similar function related to Data Mining / Science, Database Administrator or Senior Business Analyst with strong knowledge in SQL, in combination with a track record of delivering well-documented data requirements, and with extensive experience in Waterfall, Agile, and blended software development methodologies.

You should be able to understand and integrate predictive and prescriptive analytics, as well as automate standardized data cleansing rules and logic.

You should have strong interpersonal, analytical, problem-solving, influencing, prioritization, and decision-making skills, together with the ability to interact and communicate effectively.

High English proficiency will be evaluated too. Strong intellectual curiosity and demonstrated experience in both traditional data warehousing and big data technologies such as SQL, Python, Snowflake, Power BI, Hadoop and Sage Maker are highly desired skills to stand out in this role.

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