Data Visualization Engineer

Data Analytics & Visualization Engineer

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Employment Type: Contract / Contract-to-Hire

Engagement Length: Initial 3–6 months, with potential for extension or conversion

Location: Remote — candidates in North America, Latin America, and Eastern Europe preferred

About the Role

G2i is partnering with Human Cloud, a technology-enabled platform that helps organizations discover, evaluate, and deploy flexible workforce solutions.

We’re looking for a hands-on Data Analytics & Visualization Engineer to help build and enhance enterprise analytics and data visualization solutions. This role is ideal for a mid-to-senior-level engineer who combines strong execution skills with the ability to translate business requirements into clear, reliable, and useful data products.

You’ll work across analytics, visualization, and application development using Python, TypeScript, and enterprise productivity ecosystems. You should also be comfortable incorporating AI tools into your everyday development and analytical workflows.

What You’ll Do

Design and build enterprise-grade analytics and data visualization solutions

Develop interactive dashboards, reporting experiences, and data-driven applications

Use Python to transform, analyze, and prepare data for reporting and visualization

Build frontend features and visualization components using TypeScript

Integrate analytics solutions with enterprise Microsoft tools and Google Workspace

Translate business questions and stakeholder needs into practical technical solutions

Improve the usability, performance, and maintainability of existing analytics platforms

Use AI-assisted tools to accelerate development, analysis, documentation, and problem-solving

Collaborate with technical and non-technical stakeholders in a remote environment

Take ownership of deliverables from initial requirements through implementation

What We’re Looking For

Professional experience building analytics platforms, dashboards, or data visualization products

Strong proficiency with Python for data processing, analysis, or backend development

Experience with TypeScript and modern web application development

Practical knowledge of data visualization principles and libraries or BI platforms

Experience working with enterprise data sources, APIs, and reporting workflows

Familiarity with the Microsoft enterprise ecosystem, such as Power BI, Excel, Azure, Microsoft 365, or related tools

Familiarity with Google Workspace and its data or productivity tools

Experience using AI coding assistants or generative AI tools in day-to-day workflows

Ability to work independently, make sound implementation decisions, and deliver production-ready solutions

Strong written and verbal English communication skills

Availability to collaborate with teams working primarily across North American time zones

Nice to Have

Experience with Power BI, Tableau, Looker, D3.js, Plotly, Recharts, or similar technologies

Experience building custom analytics applications rather than working exclusively in traditional BI tools

Knowledge of SQL, data modeling, ETL/ELT workflows, and cloud data platforms

Experience integrating Microsoft and Google Workspace services through APIs

Previous experience in consulting, client-facing delivery, or fast-moving project environments

* Experience using LLMs or AI agents to support analytics, reporting, or data exploration

What Success Looks Like

You can quickly understand business needs, work effectively within an existing enterprise technology environment, and turn complex data into intuitive, actionable experiences. You are comfortable owning execution, collaborating remotely, and using modern AI-enabled workflows to deliver high-quality work efficiently.