Data Analytics Engineer

vstglobal; Pleasanton (CA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible work schedule

Vacation and paid time off

Health insurance

Tuition reimbursement

IT certification costs covered

Job summary

vstglobal in Pleasanton, California is hiring a Data Analytics Engineer responsible for building and maintaining data pipelines, tools, and visualizations. You will partner with stakeholders and engineers to enable data-driven decision-making and develop KPI reports.

The ideal candidate should have a Master’s degree in a related field and over 5 years of experience in data analytics. This role offers flexible work schedules, health insurance, and opportunities for continuous learning.

Qualifications

• 5+ years of experience in data analytics, business intelligence, or related fields.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience creating interactive dashboards.

Responsibilities

• Develop and maintain data pipelines, tooling, and visualizations.
• Identify and validate appropriate data sources for KPI reports.
• Partner with data engineers on data architecture design.

Skills

Python

R

SQL

Machine learning

Data visualization

Communication skills

Education

Master’s degree in Computer Science, Statistics, Mathematics, or related field

Tools

Tableau

Power BI

scikit-learn

TensorFlow

Job description

In this role as Data Analytics Engineer, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You’ll develop KPI reports, partner with engineers on data architecture, investigate metric changes, and explore trends for opportunities. Additionally, you’ll collaborate with stakeholders, foster data‑driven decision‑making, and promote scalable, self‑service data solutions.

Responsibilities

• Develop and maintain data pipelines, tooling, and visualizations that make insights widely available across the organization.
• Identify, compute, and validate the appropriate data sources and metrics to create KPI reports.
• Partner with data engineers to design and implement a data architecture that bridges across data sources, analytics, and operational reporting.
• Conduct investigations into changes in business metrics in collaboration with stakeholders and engineering.
• Proactively explore trends in business KPIs to surface future opportunities for enhancement.
• Cultivate strong partnerships with cross‑functional stakeholders.
• Coach partners to self‑serve with existing tools and evangelize scaled approaches to expand data access and insights.

Requirements

• Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analytics, business intelligence, data science, or related fields.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning concepts and libraries/frameworks (e.g., scikit‑learn, TensorFlow).
• Experience creating interactive dashboards with Tableau, Power BI, and other tools.
• Proven communication and presentation skills to deliver actionable insights.
• Ability to manage time‑sensitive projects through completion while balancing evolving priorities and diverse stakeholders.
• Experience working with operations functions.

Benefits

• Flexibility with work schedule and telecommuting.
• Vacation and paid time off.
• Employee discounts and rewards.
• Health insurance and wellness program.
• Continuous learning programs and mentorship opportunities.
• Flat and agile structure that values employee voice and ideas.
• Community support and celebration of achievements.
• Unique perks such as vacation reimbursement, tuition reimbursement, and full cost for IT certifications.