Find Business Data Analyst-ETL -Hybrid|NYC-PD Job in New York, New York | Snaprecruit

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Business Data Analyst-ETL -Hybrid|NYC-PD

  • ... New York, New York, United States
  • ... Full time
  • ... Salary: 70 per hour
  • Posted on: Feb 29, 2024       Expires on: Apr 14, 2024

Business Data Analyst-ETL -Hybrid|NYC-PD   

JOB TITLE:

Business Data Analyst-ETL -Hybrid|NYC-PD

JOB TYPE:

Contract

JOB LOCATION:

New York New York United States

JOB DESCRIPTION:

Our direct client , a major P&C insurance company is seeking a Business Data Analyst for a long term consulting engagement.


This position is hybrid, 4 days per week onsite in midtown NYC , 1 day remote.


Compensation-$65.
00- $70.
00 per hour W2

Business Data Analyst

Pay rate is $65 to $70 per hour
Must Have Qualifications:
- Experience in ETL and Data Warehouse methods and technologies
- Strong SQL
- Review designs
- Bachelors Degree
Plusses
- Insurance and Claims Data or TPA Experience
Day-to-Day Responsibilities:
- Identify and write technical specifications for data structures and ETL
- Mapping of multiple source databases to centralized SQL Server target system(s)
- Identify and analyze data discrepancies and data quality issues


I look forward to hearing from you!

Position Details

POSTED:

Feb 29, 2024

EMPLOYMENT:

Full-time

SALARY:

70 per year

SNAPRECRUIT ID:

S-1709848516-03f22241be31b155a2e0757609503431

LOCATION:

New York United States

CITY:

New York

Job Origin:

jpick2

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Our direct client , a major P&C insurance company is seeking a Business Data Analyst for a long term consulting engagement.

This position is hybrid, 4 days per week onsite in midtown NYC , 1 day remote.

Compensation-$65.00- $70.00 per hour W2

Business Data Analyst

Pay rate is $65 to $70 per hour
Must Have Qualifications:
- Experience in ETL and Data Warehouse methods and technologies
- Strong SQL
- Review designs
- Bachelors Degree
Plusses
- Insurance and Claims Data or TPA Experience
Day-to-Day Responsibilities:
- Identify and write technical specifications for data structures and ETL
- Mapping of multiple source databases to centralized SQL Server target system(s)
- Identify and analyze data discrepancies and data quality issues


I look forward to hearing from you!

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