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Data Strategy & Analytics Solutions Lead
Hewlett Packard Enterprise. Design, develop, and optimize enterprise solutions, processes, and analytics supporting the end-to-end sales lifecycle .
Posted 10/22/2026full-timeSunnyvale • California • United StatesSenior💰 $109,500 - $220,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing enterprise data solutions, with a strong focus on analytics, data quality, and process automation. Proven ability to integrate systems like SAP and Salesforce while providing actionable insights to drive strategic decision-making.
Highest-signal resume keywords
Data AnalyticsSnowflakeDatabricksSQLEnterprise Reporting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsSQLPythonETL ToolsEnterprise-Scale Analytics DesignData QualityProcess AutomationReal-Time Data StreamingDashboard BuildingData Governance
Soft Skills
Excellent CommunicationStakeholder ManagementAnalytical SkillsProblem-Solving SkillsPresentation Skills
Tools & Technologies
SAPSalesforcePower BITableauKafkaEvent Hubs
Industry Keywords
Sales LifecycleData LakeBusiness AnalyticsCloud Data SolutionsSelf-Service Analytics
Tech Stack
Tools & technologiesCloudETLKafkaPythonSQLTableau
About the role
Key responsibilities & impact- Design, develop, and optimize enterprise solutions, processes, and analytics supporting the end-to-end sales lifecycle
- Deliver scalable data-driven solutions and enhance sales automation
- Provide actionable insights into pipeline, bookings, revenue, and operational performance
- Design and deliver scalable data and analytics solutions for enterprise reporting
- Integrate SAP, Salesforce, and other enterprise data sources
- 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
- Lead complex initiatives, drive process improvements, and deliver scalable data solutions
- Exercise independent judgment and partner with stakeholders to solve business challenges and enable strategic decision-making
Requirements
What you’ll need- 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 a Cloud Data Lake
- Hands-on experience with SQL, Python, Snowflake, Databricks, ETL tools, modern data technologies, SAP, and Salesforce
- Experience designing enterprise-scale analytics platforms
- 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
- Snowflake Cortex AI or Databricks Genie experience is nice to have
- Real-time data streaming with Kafka or Event Hubs is nice to have
- Experience building dashboards using Power BI or Tableau is nice to have
Benefits
Comp & perks- Comprehensive health, financial, and emotional wellbeing benefits
- Personal and professional development programs
- Flexible work and personal needs management
- Inclusive workplace
- Employee benefits offered in the US