Best professionals offering data validation analyst services in Noida

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ASIT PANDEY
USD$ 10 per hour

ASIT PANDEY

Sr. Survey Programmer

Technology / Internet

A combination of two profiles: Sr. Survey Programmer cum Developer and Data Validation Analyst in Decipher and CMix. Competitive, self-starter, discip ...

Noida, Gautam Buddha Nagar
Data validation analyst + 5
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Data validation analyst in Noida

Service Details for Data Validation Analyst in Noida, Gautam Buddha Nagar

A data validation analyst is responsible for ensuring the accuracy and quality of data. They use their analytical skills to identify discrepancies and inconsistencies in data sets.


Professional Requirements

To perform this service, a candidate should have a strong understanding of statistical concepts and be proficient in using relevant software tools like Excel or SQL.


Recommended Accreditations and Certifications

  • Certified Analytics Professional (CAP)

Tips for Choosing the Best Service Provider

  • Look for professionals with relevant industry experience

Fees for Data Validation Analyst freelancers


The average daily fee for experienced freelancers is ₹ ₹500. 


The fee varies depending on the city in which they are located. For instance, the average daily fee for a data validation analyst in Mumbai is ₹ ₶0000, while in Bengaluru it is ₹ ₷0000, or in Noida it is ₹ 5,000.


data validation analyst jobs near Noida

  • NatWest Group Gurugram

    Join us as a Data Analyst in a cutting edge data team to manage analysis of complex bank data to identify business issues and opportunities. · ...

  • Lagom Retail Private Limited Azadpur, Delhi, Delhi

    +We are looking for a immediate joiner as a Junior Data Analyst with at least 1 year of experience to support reporting, dashboarding, and data analysis. · ...

  • Data Analyst

    4 weeks ago

    Citi Gurgaon

    +We are seeking a highly motivated and skilled Data Analyst with expertise in Python and Spark to join our team. · +Extract, transform, and load (ETL) data from various sources using Python, SQL, and Spark. · Clean, validate, and organize raw data to ensure accuracy and completen ...