Senior Data Warehouse Analyst
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Key skills for this role
About the Role
Worldpay is seeking a Senior Data Warehouse Analyst to join their data engineering team. The role involves identifying insights from large datasets, building machine learning models, and creating data workflows.
Key Skills for This Role
Responsibilities
- Identify meaningful insights from large data and communicate findings
- Create workflows to pre process data, build machine learning models, and evaluate effectiveness
- Use MS Excel/PowerPoint to summarize findings and communicate to product team
- Provide consultation to users and lead cross functional teams
- Work with business leaders to develop metrics and visualizations
- Partner with business teams to gather and document business requirements for data modeling
- Compile data from various sources into consumable datasets, including design of data cubes
Requirements
- 5+ years experience with Spark, Scala and/or Python programming languages
- 5+ years experience with end to end systems development life cycles
- 5+ years experience with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL)
- 5+ years experience with development methodologies in Cloud Data environment (AWS, Snowflake, Azure)
- 1+ years experience with Snowflake Intelligence including Cortex Analyst
- Bachelor's degree in business or information technology, or equivalent
- Strong analytical acumen with ability to uncover insights and create stories
Full Job Posting
Job Description
- Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Warehouse Analyst to join our data engineering team and help shape the future of global commerce.
What You’ll Own
- Identifies meaningful insights from large data, interprets, and communicates insights from analysis and experiments
- Creates workflows to pre process data, build machine learning models, and evaluate the effectiveness of those models on large data sets
- Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results
- Uses MS Excel/PowerPoint to summarize findings and communicate effectively to the product team
- May provide consultation to users and lead cross functional teams to address business issues
- Interprets and communicates insights to product, service and business management
- Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies
- Partners with business teams to gather, document, and maintain business requirements that will inform data modeling decisions
- Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes
What You’ll Bring
- 5+ years’ experience with Spark, Scala and/or Python programming languages, as well as heavy cloud experience in AWS, Snowflake, Databricks, etc.
- 5+ years’ experience with end to end systems development life cycles, e.g., iterative and other modern approaches to software development
- 5+ years’ experience with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL)
- Strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
- 5+ years’ experience with development methodologies in the Cloud Data environment, including but not limited to AWS, Snowflake, Azure and analytical tools including but not limited to Tableau, Streamlit or similar BI applications
- 1+ years’ experience with Snowflake Intelligence including Cortex Analyst and other AI models
- Bachelor’s degree in business or information technology, or the equivalent combination of education, training, or work experience
About The Team
- Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career.
- Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact.
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