Data Strategy & Analytics Solutions Lead
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.
Job Description
The Data Strategy & Analytics Solutions Lead designs, develops, and optimizes enterprise solutions, processes, and analytics that support the end-to-end sales lifecycle, including pricing, quoting, order management, invoicing, forecasting, and sales operations. The role is responsible for delivering scalable data-driven solutions, enhancing sales automation, and providing actionable insights into pipeline, bookings, revenue, and operational performance to improve business efficiency and drive growth.
Management Level Definition
Serves as a functional / Technical expert, leading complex initiatives, driving process improvements, and delivering scalable data solutions. Exercises independent judgment, mentors team members, and partners with stakeholders to solve business challenges and enable strategic decision-making.
Key Responsibilities
•Design and deliver scalable data and analytics solutions for enterprise reporting.
•Integrate SAP, Salesforce, and other enterprise data sources to ensure trusted, high-quality data.
•Modernize BI platforms and enable self-service analytics.
•Ensure data quality, governance, and performance across analytics solutions.
•Partner with business and IT stakeholders to translate requirements into scalable technical solutions.
•Drive process automation, optimization, and continuous improvement.
•Provide technical leadership, establish best practices, and mentor team members.
Qualifications
•Bachelor's or master's degree in computer science, Business Analytics or related field.
•5+ years of experience in Data Analytics.
•2+ years of hands-on experience with Snowflake or Databricks.
•Experience integrating SAP and Salesforce enterprise (or) Sales application data to Cloud Data Lake.
•Hands-on experience with SQL, Python, Snowflake, Databricks, ETL tools, and modern data technologies, SAP & Salesforce.
•Experience designing enterprise-scale analytics platforms.
Soft Skills
•Excellent communication and stakeholder management.
•Strong analytical and problem-solving skills.
•Ability to lead technical discussions. Experience collaborating with cross-functional business and IT teams.
•Strong documentation and presentation skills.
•Ability to manage multiple priorities in a fast-paced environment.
Nice to Have
•Snowflake Cortex AI Experience (or) Databricks Genie.
•Real-time data streaming (Kafka, Event Hubs).
•Experience in building Dashboards using Power BI / Tableau.
What We Can Offer You
Health & Wellbeing — We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development — We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion — We are unconditionally inclusive in the way we work and celebrate individual uniqueness.
Salary
The expected salary/wage range for this position: United States of America: Annual Salary USD 109,500.00 - 220,500.00 in California. The listed salary range reflects base salary. Variable incentives may also be offered.
