Data & Analytics Lead

Description -

Job Summary

HP is seeking a highly skilled Data & Analytics Lead to lead the design, development, and modernization of enterprise analytics solutions that drive business decisions across digital channels, customer experiences, and commercial operations. This role combines advanced analytical expertise, data engineering knowledge, business intelligence capabilities, and strategic consulting skills to transform complex data into actionable business insights.

The ideal candidate will serve as a trusted advisor to business leaders while driving reporting automation, data-platform transformation, self-service analytics, and enterprise-scale data governance initiatives.

Responsibilities

Analytics & Insights Leadership

• Lead advanced analytical initiatives to identify opportunities, trends, customer behaviors, and business performance drivers.
• Translate complex business questions into scalable analytical frameworks and actionable recommendations.
• Develop executive-level insights, dashboards, scorecards, and performance reporting.
• Perform deep-dive analyses to support strategic decisions and uncover growth opportunities.

Data Platform & Engineering

• Design, develop, and optimize modern data pipelines and data models across enterprise platforms.
• Support data lake, cloud analytics, and next-generation reporting transformations.
• Drive migration of legacy reporting environments to scalable cloud-based architectures.
• Ensure data quality, governance, validation, and ongoing operational excellence.

Reporting & Automation

• Modernize reporting capabilities using Power BI and other enterprise analytics tools.
• Automate recurring reporting, ingestion, validation, and monitoring processes.
• Develop scalable self-service reporting solutions that improve accessibility and decision-making.
• Reduce manual operational effort through intelligent automation and process redesign.

Business Partnership

• Act as a strategic analytics consultant to business, product, marketing, digital, and services organizations.
• Partner with stakeholders to define KPIs, success metrics, and measurement frameworks.
• Communicate findings to both technical and non-technical audiences.
• Influence decisions through data-driven storytelling and executive communication.

Innovation & Continuous Improvement

• Evaluate emerging technologies and analytics capabilities.
• Drive adoption of modern data platforms and best practices.
• Contribute to enterprise data strategy and future-state architecture planning.
• Mentor team members and promote analytics excellence across the organization.

Knowledge & Skills

Required

• Advanced experience in Business Intelligence, Data Analytics, or Data Engineering.
• Expertise with Power BI, SQL, and enterprise reporting platforms.
• Strong understanding of data modeling, ETL/ELT processes, and data quality management.
• Experience building and maintaining scalable analytics solutions.
• Ability to convert ambiguous business challenges into structured analytical solutions.
• Strong stakeholder management and cross-functional collaboration skills.
• Excellent presentation and data storytelling capabilities.

Preferred

• Experience with Databricks, Snowflake, Azure Data Platform, or similar cloud analytics environments.
• Knowledge of enterprise data lake architectures.
• Experience with automation frameworks and modern data engineering practices.
• Agile project delivery experience.
• Analytics certifications and advanced BI training.

Education & Experience

• Bachelor's or Master's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or related field.
• Typically 8+ years of experience in analytics, business intelligence, data engineering, or related disciplines.
• Demonstrated success delivering enterprise-scale analytics and transformation initiatives.

Impact & Scope

• Influences strategic business decisions through analytics and insights.
• Leads complex cross-functional analytics initiatives.
• Drives modernization of enterprise reporting and data platforms.
• Improves operational efficiency through automation and scalable solutions.
• Serves as a recognized subject matter expert in data, analytics, and business intelligence.

Success Metrics

• Increased business adoption of analytics solutions.
• Reduction in manual reporting effort through automation.
• Improved data quality and reporting accuracy.
• Delivery of actionable insights that influence business outcomes.
• Successful execution of data modernization and transformation initiatives.

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Equal Opportunity Employer (EEO)-

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "