Digital Marketing Executive jobs in Noida at Tidyquant Private Limited

“Tidyquant is looking for a self-starter and pro-active digital marketer to take care of social media channels and content marketing. Among other, the incumbent would be required to perform below listed tasks on everyday basis:-
Distributing social media content (graphical and textual posts) over social media channels, namely Facebook, Twitter and LinkedIn.
Acknowledging and interacting with the respondents on these social posts and answering their queries.
Keeping a track of all these activities and a tab on audiences acquired throughout the course of a social marketing campaign.
Preparing a daily MIS on a day's social media activity and key stats (posts reach, interactions and engagements) and sharing this MIS with management with analysis of each day's activities.
Working in tandem with the team responsible for content creation to exchange ideas on the future course of action.
Reach out to the clients via cold calling and keep a follow up.

The required skill sets are listed, but not limited to the below:-

0-1 years of experience working in the same capacity, ideal for an in-house product/service. We can also consider candidates working for digital marketing agencies provided the candidate possess and demonstrates an understanding for taking care of in-house product/service.
A keen eye on emerging social media trends which, if implemented can add further values to the underway marketing campaign
Reasonably sound oral and written communication skills to understand, acknowledge and respond to interactions received on social media channels.
Should be a fast adapter who can match step with ever evolving social media marketing environment.
Should be proactive, team player with a keen ear for instructions.”

Tidyquant is an ambitious technology start-up, providing scalable data solutions equipped with machine learning capabilities. Were using web-based cloud services (e.g. AWS, Microsoft Azure, Hadoopetc.) in order to load, transform and process the massive amount of unstructured data. Were also embracing open source cutting-edge technologies and programming languages (e.g. PostgreSQL, R, and Python etc.) for the purpose of data wrangling/munging, predictive modeling and time-series forecasting.