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Open nowFirst seen 32 hours ago

Data Analyst (Big Data)

Spearing Executive Search87 open roles

Where
Singapore
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Your applicationOpen nowData Analyst (Big Data)Spearing Executive Search · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Spearing Executive Search's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 32 hours ago

The posting

Job Description

Our client is looking for someone who has a keen eye for detail, technical and logical thought process and has the ability to prioritize.

As the Big Data Analyst, you will be responsible for collecting and transforming data into useful information that meets a certain quality standard in order for the business to consider it trustable and usable. The job also requires the analyst to understand data transformation tools, techniques and algorithms in order to transfer the data into scalable data.

About the role

As a Big Data analyst you need to have a keen eye for detail in order to capture the most amount of data and not let any valuable information go to waste. This means that you will need to be able to prioritize more important information in order to get the most value out of the information found.

Job Responsibilities

  • Transform and integrate various data into a scalable data repository (such as a data warehouse, data lake, cloud).
  • Understand different data transformation tools, techniques and algorithms.
  • Implement technical processes and business logic to transform collected data into meaningful and valuable information. This data should meet the necessary quality, governance and compliance considerations for operational and business usage to be considered trustable.
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  2. 25 readers review it

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  4. Every reply, sorted

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3×

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