Job Vacancy in PharmEasy

Application’s are Invited by PharmEasy , By widely utilizing the most recent in equipment and programming innovation, we are additionally dedicated to kill counterfeit meds from the Pharma biological system that add to generally 30% of medication volumes in India. Our item developments have considered total information straightforwardness in the whole Pharma production network to engage even the end-clients to approve the realness and validity of the medications for each medication sold, utilizing builds, for example, novel barcoding of data like expiry dates, beginning of medications and so on.

Interested and qualified applicants for the Business Analyst Post in Mumbai who fulfilling the criteria may submit or apply their application according to the prescribed format along with the details CV as per Norms. For any query or full details visit their official websites..https://pharmeasy.in/

And If you are a fresher/experienced remember always a well-written application/resume would be of great value. Before you start to writing you application letter, at first know what the company is looking for and whether you are a right fit to the company culture or norms in the given below:

NAME OF THE POST:

Business Analyst

LOCATION:

 Bangalore, Mumbai, Hyderabad ,Pune, Delhi

REQUIRED SKILLS:

2 to 6 years of work experience in the relevant field, preferably in a consumer facing company

Proficient in MySQL & PostgreSQL, ability to handle complex/inner queries

Hands-on with Microsoft Excel (basic data cleaning, pivoting and data exploration)

Must have worked on any one Data Visualization Tool (Tableau, Qlikview, Qliksense, Spotfire,Power BI etc)

RESPONSIBILITIES:

Obtaining business needs from the relevant Business Teams, figuring out the underlying business case, and creating a universal solution.
Data extraction and exploration from databases and other potential sources are necessary, as is cleansing the data to check for errors or missing values.
transforming the cleaned data into useful insights and disseminating the same to pertinent
Audience
Automation of recursively occurring data issues and solutions
In the event that data sanity issues are present, flagging Data Engineering should be done.

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