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Data Strategy & Analytics Solutions Lead

Sunnyvale, California, United States of America

Pay
USD 109,500–220,500/year · BaseLocation-specific pay — pay source
Expert The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – 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. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
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Work setting
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Employment
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What you’ll work on

Full posting
  • Design and deliver scalable data and analytics solutions for enterprise reporting.

  • Ensure data quality, governance, and performance across analytics solutions.

  • Partner with business and IT stakeholders to translate requirements into scalable technical solutions.

From the employer’s posting
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.
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.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or master’s degree in computer science, Business Analytics or related field.
  • Excellent communication and stakeholder management.
  • Experience in building Dashboards using Power BI / Tableau.
  • 5+ years of experience in Data Analytics.
  • Ability to lead technical discussions.
  • 2+ years of hands-on experience with Snowflake or Databricks.
Qualification wording
Bachelor’s or master’s degree in computer science, Business Analytics or related field.
Excellent communication and stakeholder management.
Experience in building Dashboards using Power BI / Tableau.
5+ years of experience in Data Analytics.
Ability to lead technical discussions. Experience collaborating with cross-functional business and IT teams.
2+ years of hands-on experience with Snowflake or Databricks.
Education & alternatives
Qualifications: - Bachelor’s or master’s degree in computer science, Business Analytics or related field. - 5+ years of experience in Data Analytics.

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Kafka
  • Power BI
  • SAP
  • Snowflake
  • Tableau
Source — Tool mentions in context
- 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.
- 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.
Nice to have: - Snowflake Cortex AI Experience (or) Databricks Genie. - Real-time data streaming (Kafka, Event Hubs).
- Snowflake Cortex AI Experience (or) Databricks Genie. - Real-time data streaming (Kafka, Event Hubs). - Experience in building Dashboards using Power BI / Tableau.
- Real-time data streaming (Kafka, Event Hubs). - Experience in building Dashboards using Power BI / Tableau. Accessibility
- 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.

About HPE

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.

In the employer’s words · Read in context

Posting record

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Open 3 monthsWe first saw this posting 103 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 16, 2026 · 103 days ago
Recorded sightings
130
Last seen by us
Oct 27, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

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  • Check the listed location, eligibility and core experience before starting.

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Job description

View original posting ↗

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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

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.

Accessibility


HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.


Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

Job:

Sales Operations

Job Level:

Expert

    

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– 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.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Source details

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Pay
Expert The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – 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. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
Location & working pattern

Sunnyvale, California, United States of America

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:
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