Level

HP

Customer Success & Data Insights Engineer

HP is hiring a Customer Success & Data Insights Engineer in Singapore, Singapore. Level rates it ; you can apply on Level.

AI in this role

This data insights engineering role focuses on statistical analysis, data collection, and developing algorithms to support business decision-making.

pythonsql
data-analysisstatistical-modelingalgorithmsdata-governance
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 HP’s 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 HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

How we rate this

Customer Success & Data Insights Engineer at HP rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisStatistical ModelingAlgorithmsData GovernancePythonSQL

Also common in customer service jobs at this level

Pay

Typical customer service job
$106k

This posting doesn't list pay. Use the typical customer service figure when pay comes up. See customer service jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where statistical modeling was part of your work. What did you do?
  3. Tell me about a project where algorithms was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Statistical Modeling, Algorithms, Data Governance, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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