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Hewlett Packard Enterprise

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 fit
Core 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

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Applicant Tracking System Keywords

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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 & technologies
CloudETLKafkaPythonSQLTableau

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