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HP Inc. Toner Insights Analyst in Vancouver, Washington


This role is a position of analysis, partnership, influence, and leadership within the overall team, responsible for ensuring that insights and reporting are gleaned for the toner business. This person will develop new analytical techniques to gain customer insights on why customers choose to use HP Original supplies. This person will ensure those insights are leveraged across the A3 & A4 business units

  • Provide insights on toners supplies business

  • Ability to focus and prioritize deliverables with multiple requests and stakeholders.

  • Develop consistent and reliable analytical techniques: Big Data andthird-party and financial metrics

  • Partner with driver and forecasting teams on a regular cadence

  • Ramp the toner big data and 3rd party analytics capabilities

  • Influence management and leadership

  • Pro-actively influence business planning and product strategy based on business insights.

  • Develop new capabilities and analytical techniques using artificial intelligence and machine learning that result in business growth for the toner business

  • Deliver critical and relevant insights and direction to cross-functional leadership

  • Excellent written, verbal and presentation skills are required.

  • Able to produce crisp and actionable insights that drive business planning and strategy. Clearly articulate what it means with thebusiness. Work with key stakeholders to influence business decisions.

  • Drive continuous improvement and advancements in data analytics

  • Advance data analytic tools to identify Market Share risks and future quarter outlook: velocity, acceleration, online reporting, etc.

  • Ad Hoc requests provide as needed support regarding desk reviews, business reviews, and any relevant upper management analyses, presentations, or checkpoints.


Analytics and Insight: Capacity to source, organize and interpret complex data sets to gain deeper understanding and guide strategy formulation. Communicate the deeper understanding to provide new and actionable insights in support of decision making to create productive action. Application of Strategic/Critical thinking and Problem Solving to move the business forward.

Effective Communication & Storytelling: Capacity to create and communicate persuasively. Create compelling narrative and actionable insights from data analysis. Know the audience and tailor communication.

Customer Mindset: Creating positive user experiences through deep customer knowledge and focus on customer needs


  • Mines data using modern tools and programming languages.

  • Defines and implements models to uncover patterns and predictions creating business value and innovation.

  • Works with project team to understand problem statements, initiates and direction.

  • Tells stories with the data using visualization tools/methods to demonstrate insight impact.

  • Assures accuracy, integrity, and compliance of cleansed data.

  • Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

  • Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.

Knowledge & Skills

  • Using statistics, mathematics, algorithms and programming languages.

  • Ability to apply analytical and problem-solving skills.

  • Understanding of disparate unstructured and structured data in a distributed environment.

  • Solid grasp of structured and unstructured data and modern data transformation methodologies

  • Ability to create models to pull valuable insights from data.

  • Create stories and visualizations to describe and communicate data insights.

  • Strong analytical and problem-solving skills.

  • Creative.

  • Excellent written and verbal communication skills; mastery in English and local language.

  • Ability to effectively communicate data insights negotiate options.

Scope & Impact

  • Collaborates with peers, junior engineers, data scientists and project team.

  • Typically partners with high-level Individual Contributors and Managers.

  • Supports projects requiring data engineering solutions expertise.

Education & Experience

  • Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.

  • Typically 2-4 years’ experience including graduate or postgraduate research.

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.

So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.

From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive!

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).