CSS Service Insights Analyst

HP Inc.

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Vancouver, WA
Salary
$105,050–$152,350 / yr
Posted
50 days ago
Freshness
Confirmed live today
Closes
Mar 15, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $149k
This role $129k
$96k $189k
below market most similar roles pay here above market

This role pays less than 62% of similar roles. Most pay $117,830–$180,087 — the blue band above. At the midpoint, this role pays about $129k versus about $149k for comparable roles.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 140 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 111 roles with salary data.

Most-posted roles

View all roles at HP Inc.

At a glance

TL;DR · CSS Service Insights Analyst

The CSS Service Insights Analyst joins the Services organization to deliver advanced analytical insights that drive business growth and improve customer engagement. This role involves analyzing large, complex datasets to identify customer behaviors, performance trends, and monetization opportunities. You will develop measurement frameworks, define analytical requirements, and create executive-ready dashboards and data-driven narratives. Key responsibilities include designing experiments, performing A/B testing, and synthesizing data from enterprise warehouses and behavioral sources. You will utilize SQL, Python, and statistical methods like logistic regression and clustering. Proficiency with Power BI, Looker, ThoughtSpot, Google Analytics, Databricks SQL, and Amazon Redshift is required. The role solves business problems by transforming raw data into actionable recommendations to enhance subscriptions, retention, and product strategy across digital channels including email and mobile applications.

What you'll do

  • Analyze large datasets using SQL, Python, and statistical methods to identify customer behaviors and performance trends.
  • Design experiments and measurement frameworks to support growth initiatives and improve business decision-making.
  • Partner with data engineering teams to define analytical requirements and develop scalable data assets.
  • Synthesize data from multiple sources to develop hypotheses and recommend actions that influence business strategy.
  • Create executive-ready dashboards and data stories to communicate findings and opportunities to stakeholders.
  • Apply machine learning and AI-enabled analytical capabilities to uncover patterns and explain business performance.
  • Identify opportunities to leverage emerging AI technologies to improve analytical efficiency and business insights.

What we're looking for

  • Bachelor’s or Graduate degree in Mathematics, Analytics, Data Science, Marketing, Engineering, or Economics (Graduate degree preferred).
  • 7+ years of analytic work experience with an emphasis on email and in-app campaigns for digital products.
  • 3+ years of experience working collaboratively with product teams.
  • Advanced SQL proficiency for complex queries and Python proficiency for analytical workflows and automation.
  • Expertise in business intelligence platforms including Power BI, Looker, ThoughtSpot, and Google Analytics.
  • Experience with enterprise data platforms such as Databricks SQL and Amazon Redshift.
  • Demonstrated expertise in quantitative analysis, statistical methods, and machine learning techniques.
  • Experience designing and evaluating A/B tests and multivariate experiments across digital channels.

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