About eClerx :
India’s leading process management and data analytics companies, eClerx provides critical business operations services to over fifty global Fortune 500 clients, including some of the world's leading companies across financial services, cable & telecom, retail, fashion, media & entertainment, travel & leisure, software and high-tech.
A publicly traded company for 10+ years on India’s leading stock exchanges, our 9,500 employees work globally through delivery centres in India, Thailand, Italy, and US.
With revenues of $200 million, eClerx is one the leading innovative business process management companies.
eClerx Digital :
The digital world is a continuously morphing landscape that is as exciting as it is limitless. And we’re here to add to its magic.
eClerx Digital is a global digital service provider partnering with the world's leading brands primarily in luxury & fashion, retail, high tech, financial services, automotive and travel industries.
We deliver high impact consulting and value-based production resources to global clients looking to further their digital possibilities.
In an essence, eClerx Digital is a guild of 2500+ talented minds spread from Mumbai, Pune & Chandigarh to Verona and Phuket.
Replete with a variety of strengths ranging from deep digital expertise to path-breaking support processes. We’re here to create value for our employees, customers, clients, shareholders and the world at large.
We’re looking to add to this talent pool a Data Visualization Expert, who will help transform complex data into simple yet, compelling visualizations that drive strategic decisions for global brands.
The Ideal Experience Map :
The ideal candidate has a minimum 4 years of work experience in areas of data visualization, graphic design or related areas.
A Bachelor’s degree in any discipline, preferably in fine arts or commercial arts.
Proven communications skills written and verbal and a keen eye for detail to deliver insights graphically.
Roles and Responsibilities :
Technical and Functional Skills :