Full Time: Front End Developer at Locus Analytics in New York, NY

About Locus Analytics

Locus Analytics, a research firm in New York City, studies the network of relationships within the global economy.

Locus has developed methods incorporating linguistics, complex systems, and graph theory for analyzing large, unstructured datasets.

This methodology is used to model economic interactions at all scales, from small informal enterprises to major technology conglomerates.

We have used our proprietary classification system to construct a database that indexes thousands of companies worldwide.

Locus has grown rapidly over the past few years, and we have used our proprietary system to construct a unique database that indexes global economic entities -- from companies, to workers, to industries -- according to our standardized definition of their function.

Researchers and analysts have been central to this endeavor, transforming the way that we approach our work.

Locus has developed applications in economic development, education, finance, and more.

We hope to change the way the world describes, analyzes, and builds the economic systems that enable our lives.

About the Position

A major goal at Locus is to address methodological shortcomings in economic thinking and to democratize access to economic analysis tools.

This role is an opportunity to shape and facilitate how diverse audiences -- from children and consumers to investors, entrepreneurs, business leaders and governments -- interact with economic data.

We are seeking a design-minded web developer to prototype and build a platform rich with data visualizations, interactives and other tools for conveying the value of our models as applied to real economic data.

We envision this platform to be novel, intuitive, and impactful as our first public-facing application following nearly two decades of research and development.

You will be encouraged to push the boundaries of information design on the web and in economic development.

You will be working across teams to synthesize abstract concepts and prototype data visualizations.

Our teams work across many fields, including systems theory, machine learning, linguistics, network theory, community modeling, and data analytics, among others.

Our interdisciplinary environment is complemented by a culture of lifelong learning; all team members are expected to take the plunge into the array of topics underpinning our work.

Our ideal candidate is excited about blurring the boundaries between web development, design, and content creation.

Responsibilities


Design, develop, and execute compelling data visualizations, dashboards, and tools using Open Source technologies (JavaScript, D3, HTML, CSS, JQuery, React.js etc.)
Support the Data Analytics, Education, and Marketing teams by understanding data requirements and iteratively designing visualizations for initial concepts and prototypes
Apply design and data analysis techniques to organize the presentation of data in visually innovative ways in order to make it easier to understand, insightful, and actionable by end users
Maintain a repository of data visualization templates
Maintain awareness of industry trends at the intersection of design, data, and technology
Effectively conceptualize, design and create high-quality visuals in a variety of digital formats including - PPT, infographics, and maps


Skills and Expertise


3+ years relevant work and project experience, including demonstrated experience in creating well-designed and usable web-based interfaces
Expert knowledge of data visualization tools such as D3.js (Examples of past work will be required)
Expert CSS, HTML, JS skills
Demonstrated proficiency with data modeling and visualization
Desire to gain insights from data through design
Strong analytical, decision-making, and problem solving skills; ability to swiftly iterate on design and interaction issues
Proven ability to act as a leader in communicating conceptual ideas and design rationale
Understanding of the importance of user research and usability studies, ability to drive guerrilla style research
Collaboratively identify the best means to visually depict both intermediate and final results, providing effective processes for extracting new insights

Apply

Source: Clevertech