Data Visualization Engineer

Data Analytics & Visualization Engineer

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.