Senior Data Analyst

At HPE, we deliver equal opportunities, flexible work-life balance and constantly evolving career growth as well as competitive benefits, salary and shared values and purpose.

HPE is an equal opportunity employer: minority, female, veterans, individuals with disabilities, LGBTQIA+ and affirmative action. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives and skills. We do not discriminate and all decisions are made on the basis of qualifications, merit and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Responsibilities: 

• Execution, maintenance and development of packages/procedures to enable Single Source of Truth data for Partner Delivery business process
• Support Partner Delivery business owners with data validation, analysis cleansing, and global Partner performance monitoring
• Manage the so called “Charm’D” database, ensuring operational stability and data integrity
• Lead automation of data loads to enhance quality, efficiency, and process documentation
• Participates in cross-functional teams meetings to align on requirements, timelines and deliverables specifics
• Designs, prepares and executes data validation procedures
• Demonstrates technical leadership, and exerts influence outside of immediate team.
• Develops innovative team solutions to complex data problems.
• Contributes to strategic direction for data planning for Partner Delivery and other businesses
• Integrates technical expertise and business understanding to create superior solutions for clients.
• Consults with team members and other organizations, clients and vendors on complex issues, when

Education and Experience Required: 

• Typically a technical Bachelor's degree or equivalent experience and a minimum of 4 years of related experience or a Master's degree and a minimum of 4 years of experience.

Knowledge and Skills: 

• Advanced Microsoft SQL skills
• Advanced Visual Studio Data Tools skills including C# and VBA scripting
• Proven experience in complex ETL process ownership
• Maturity in managing high-volume data environments and automating data load processes. Knowledge of process documentation and workflow optimization
• Strong data loading and cleansing capabilities. Critical thinking and problem-solving skills for data-related issues
• Additional skills with other platforms like Oracle, Presto, Vertica would be an advantage
• Skills in use of API calls and response handling
• Good understanding of Microsoft's Power Platform universe of software solutions - PowerBI/Fabric, Power Automate, Power Apps, etc.
• Scripting skills in Python, Shell, Bash would be and advantage
• Skills in AWS, Azure, Hive or other cloud solutions would be an advantage
• Skills with incorporation of AI agents/chatbots would be an advantage
• Basic awareness of Artificial Intelligence techniques and methodologies would be an advantage