Data Processing/ Back Office -(Exp: Fresher / Exp) -(CTC: 2.0 LPA To 3.50 LPA) – US Backend Finance Process @Wakad(Pune)

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Data Processing/ Back Office -(Exp: Fresher / Exp) -(CTC: 2.0 LPA To 3.50 LPA) - US Backend Finance Process @Wakad(Pune)

Posted on – 08th Feb 2023

Client: US Backend Finance Process @Wakad (Pune)

Position: Data Processing / Back Office Executive

No of Positions: 05

Gender: Both Male & Female

Education: Any Graduate

Experience: Fresher / Exp

CTC: 2.0 LPA To 3.50 LPA

Joining: Immediate

Job Location: Wakad (Pune)

Job Description:

This is a non-technical job and requires data cleansing, data processing & validation for financial domain. Excel & English language efficiency is MUST (at least written & reading if not verbal).

 

We’re looking for graduate candidates:

  • Who are interested in non-technical job as this is a non-technical Financial domain.
  • Stays within radius of 10-12 kms ONLY of our Wakad office.
  • Fine with 18 months locking period.
  • The starting designation would be “Data Specialist” (purely basis experience) that would change over a period of time as “Assistant Data Analyst”, Data Analyst & so on.
  • The salary range for fresher would be 15k to 18k per month (depending upon skills). For experienced ones, depending upon domain experience and requisite skills, past salary drawn, etc.
  • Although this is pure day shift, there are chances that the male candidates may have to work for night shift once in 6 months or a year. It’s once in a blue moon.

 The profile for Data analysts will include:

  • Working for Investment Management Firms based in US for their backend financial data updates.
  • Financial data cleansing in specific format from raw files provided by clients in excel.
  • Ensuring the correct data is uploaded on the online tool provided by the client and processing updates using online tool.
  • Once the data is processed successfully, to identify if all updates are reflecting correctly in websites or pushed back due to technical issue.
  • In case of failure, manual updates to be made & ensure correct data is populated as provided by the client in all applicable websites.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Efficiency in Excel is MUST
  • Industry knowledge on Investment Banking is Bonus.