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Customer Success & Data Insights Engineer

HP


Job Location:

Singapore - Singapore

Monthly Salary: Not provided by the employer
Posted: 6 June 2026 (30+ days ago)
Application Deadline: 3 September 2026
Vacancies: 1 Vacancy

Job Summary

Customer Success & Data Insights Engineer

Description -

The Customer Success & Data Insights Engineer is responsible for collecting analyzing interpreting and presenting data to support decision-making and provide insights to the organization. The role applies statistical and analytical methods to explore data identify trends patterns and anomalies and extract actionable insights. The role helps organization make data-driven decisions optimize processes and achieve their strategic objectives. The role provides strategic recommendations to senior management based on data insights.

What a Customer Success & Data Insights Engineer does at HP:

  • Participates as a member of team of other data science engineers carrying out the investigation design development execution and implementation of data science projects to generate new insights products technologies and intellectual property.

  • In accordance with plan performs/executes data collection and analysis procedures and data insight visualizations for assigned projects.

  • Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.

  • Collects records and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.

  • Assists in literature and presentations for peer review publication and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.

  • Utilizes scientific design and data collection methodologies tools and analysis packages to collect validate and analyze research data.

  • Develops algorithms and mathematical models performs experimentation and supports data-driven apps to translate data into intelligence.

  • Participates in the data quality governance framework design and optimization including process standards rules etc.

  • Utilizes advanced analytical techniques to extract clean and analyze complex data sets from various sources.

  • Works independently on moderate scope problems applying professional expertise exercising judgment and resolving various issues by following company policies and procedures.

Individuals who do well in this role at HP usually possess:

  • Graduate Degree in Mathematics Statistics Economics Computer Science or any other related discipline or commensurate work experience or demonstrated competence.

  • Minimum 2 years of relevant work experience preferably in data analytics database management statistical analysis or a related field or an advanced degree with little or no work experience.

  • Programming Language/s Certification (SQL Python or similar)


Knowledge & Skills
Agile Methodology
Business Intelligence
Computer Science
Dashboard
Data Analysis
Data Management
Data Modeling
Data Quality
Data Science
Data Visualization
Data Warehousing
Extract Transform Load (ETL)
Machine Learning
Power BI
Python (Programming Language)
R (Programming Language)
SAS (Software)
SQL (Programming Language)
Statistics
Tableau (Business Intelligence Software)

Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Impact & Scope
Impacts immediate team and acts as an informed team member providing analysis of information and limited project direction input.

Complexity
Responds to routine issues within established guidelines.

Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties skills responsibilities knowledge etc. These may be subject to change and additional functions may be assigned as needed by management.

Sustainable impact is HPs commitment to create positive lasting change for the planet its people and our communities. This serves as a guiding principle for delivering on our corporate vision to create technology that makes life better for everyone everywhere.

HP is a Human Capital Partner we commit to human capital development and adopting progressive workplace practices in Singapore.

#Li-Post

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Singapore)

Travel -

No

Relocation -

No

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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal


Required Experience:

IC