HP

Data Analyst 4

Vancouver, British Columbia US
USD 104k - 158k
CSS SQL Python Machine Learning
Description
Data Analyst 4

Description -

It is an exciting time to join the Consumer Services and Solutions (CSS) organization at HP. The Program Analyst will support business initiatives and offers the opportunity to truly impact our business. If you enjoy building subscription businesses with direct relationships with consumers, this role will offer you the chance to do that at a global scale.


This position will be a member of the Service Analytics organization and work with a cross-functional team chartered with improving service engagement and driving product sales and subscription enrolments through multiple customer communications channels.  They will be responsible for providing ongoing insights to product managers, as well as other business stakeholders.

 
KEY RESPONSIBILITIES

  • Support business initiatives and campaigns with experiment design, performance reporting, and development of customers insights.

  • Develop dashboards to support the delivery of key insights to key stakeholders and leadership.

  • Partnering with our customer engagement team, identify opportunities for driving subscriptions and product purchases.  

  • Work closely with data engineering to build and launch data products that enable insights.  

  • Deliver actionable insights and influence business decisions by synthesizing data from multiple sources (data warehouse, surveys, research).  Contribute to the development of hypotheses, tests, and actions.

  • Create compelling stories with data and deliver succinct, persuasive presentations of insights to a variety of audiences including program teams and management.  

  • Consistently identify new ways to leverage data and analysis in support of business goals.

  • Previous experience designing and  A/B and multivariate tests and assessing campaign performance through a variety of communication channels including email, app, and text.  

EDUCATION AND EXPERIENCE REQUIRED

  • Bachelor’s or Graduate degree in Mathematics, Data Science, Marketing, Engineering, or Economics.  Graduate degree preferred. 

  •  7+ years  experience with an emphasis on email and in-app campaigns and experiences in support of digital products.

KNOWLEDGE AND SKILLS REQUIRED

  • Expert in BI tools and technologies such as Power BI, Looker, Thoughtspot, Google Analytics.

  • Expertise in SQL and Python.

  • Familiarity with enterprise data warehouse solutions (Redshift, Databricks).

  • Demonstrated expertise in quantitative analysis geared towards drawing actionable insights from complex datasets.  

  • Experience dealing with ambiguity with the ability to structure complex issues to drive insights. statistical and machine learning methods such as logistic regression, generalized linear models, decision trees, factor analysis, cluster analysis, etc.      

  • Storyteller with proven record of delivering intuitive presentations of complex information and actionable insights to Senior Management, and/or to a heterogeneous audience.  

  • Demonstrated business acumen, development of deep customer understanding, and customer empathy in previous roles.

  • Proven ability to effectively collaborate across variety of technical and non-technical functions to drive towards common business goals.

The base pay range for this role is $104,800 to $158,250 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

  • HP offers a comprehensive benefits package for this position, including:

  • Health insurance

  • Dental insurance

  • Vision insurance

  • Long term/short term disability insurance

  • Employee assistance program

  • Flexible spending account

  • Life insurance

  • Generous time off policies, including; 

  • 4-12 weeks fully paid parental leave based on tenure

  • 11 paid holidays

  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Yes

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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