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
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 DoDesign 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
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
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
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.
