HP France

Data Architect – Analytics Lead

HP France

full-time

Posted on:

Location Type: Office

Location: Boise • Idaho, Washington • 🇺🇸 United States

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Salary

💰 $130,750 - $205,200 per year

Job Level

Senior

Tech Stack

PythonSQL

About the role

  • Manage team analytics ecosystem, including data engineering and database administration within a SQL environment
  • Design and develop solutions within the DataBricks environment to enable automation and insight generation
  • Troubleshoot data gaps or data quality issues as they arise
  • Extract, translate, and load critical data feeds that drive important downstream processes
  • Creative data modeling that allow us to understand and predict HPS performance
  • Manage the publication of key reports and analysis
  • Support various ad-hoc requests from all levels of management

Requirements

  • BA or BS in CS, MIS, Business, Finance, or related field
  • 10+ years experience
  • Strong SQL programming experience
  • Relational database administration
  • Power Shell understanding
  • Familiar with Power BI and Power Automate
  • Data management & data modeling
  • Business and financial acumen
  • Strong experience with Microsoft Excel
  • Experience or interest in predictive analytics (Python/R/ML)
  • Strong teamwork and facilitation abilities
  • Self-starter with ability to drive projects with minimal supervision
  • Ability to influence without authority
  • Detail-orientated
  • Capability to work on multiple high-priority projects while prioritizing workload to meet commitments
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata engineeringdatabase administrationdata modelingpredictive analyticsPythonRmachine learningPower BIPower Automate
Soft skills
teamworkfacilitationself-starterinfluence without authoritydetail-orientedproject managementcommunicationproblem-solvingadaptabilitytime management