Analytics Engineer

If you are based in Latin America, have a strong English level and SQL, BigQuery, and Looker skills, come help our client by delivering proactive insights and data products on this AI-focused team!

About Virtasant

Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.

Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.

About the role

Our client develops a powerful AI-powered training and communication SaaS platform that gives frontline workers the knowledge they’re missing to drive measurable business performance.

The Intermediate Analytics Developer works at the intersection of data analysis, software development, and AI. You will partner with our client's product and development teams to deliver proactive insights and data products, such as user-facing reports, that enable data-informed decisions. You will also work with AI agents to support intelligent data applications, help automate complex workflows, and surface insights for our client's customers and internal stakeholders.

What You’ll Do

• Build and maintain

  user-facing reports

  that help our client's customers understand their workforce and spot opportunities for improvement.

• Develop and maintain data models

  and

  pipelines

  in

  Google BigQuery

  , using techniques like

  partitioning and clustering

  to keep

  reporting fast and cost-effective.

• Apply statistical techniques

  to provide meaningful

  insights and support data-informed decisions

  .

• Work with team members - including Product Managers, Developers, Designers, and UX Researchers - to

  complete feature analyses

  ,

  respond to ad-hoc data requests

  , and

  deliver reports that surface product insights.

• Review data schemas

  for

  new features

  to ensure they'll support

  future analytics needs.

• Provide

  constructive feedback on PR reviews

  to support

  high-quality code delivery.

• Troubleshoot issues

  across the

  analytics stack

  • from

  data ingestion through the warehouse and semantic layer

  • to find the root cause of

  data discrepancies

  .

• Work with AI agent tools

  within our data applications to

  support automation and surface insights

  for customers and internal teams.

• Contribute to the

  Data team's shared knowledge base

  and

  stay current on emerging practices

  in

  analytics and data development.

What We’re Looking For

• Degree in a quantitative field, or equivalent experience.

• 3+ years of experience in data analysis or a similar role.

• Strong

  SQL

  skills, with hands-on experience in

  BigQuery and Looker.

• Experience with

  Python

  for

  data tasks such as scripting, data engineering, or pipeline work.

• Familiarity with

  Generative AI tools and LLMs

  for use cases like

  code generation, data cleaning, or workflow automation.

• Working knowledge of

  data warehousing concepts

  and how they apply to analytics and reporting.

• Solid foundation in

  statistics

  , including techniques like

  t-tests and linear regression.

• Ability to

  communicate clearly

  about

  data topics

  with both

  technical and non-technical audiences.

• Good product and business sense

  ; you understand how data connects to what our client's customers need.

• Experience

  building and managing projects within BigQuery Analytics Hub

  is considered a strong asset (but not mandatory).

• Knowledge of

  Java

  is considered a strong asset (but not mandatory).

Our recruitment process

• Recruiter interview (30 min)

• Tech interview (30 min)

• Client interview - Hiring manager interview (1 hour)

• Client interview - Technical interview 1 (1 hour)

• Client interview - Technical interview 2 (1 hour)

• Client interview - Executive interview (30 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.

What we offer

• Totally remote, full-time (40h/week)

• Work hours - 8 hours a day, East Coast office hours

• Independent contractor agreement

• Payment in USD, biweekly or monthly - your choice