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Marketing data analyst • charlotte nc
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Data Analyst_L3
IPS Technology ServicesMatthews, NC, US- Promoted
Data Analyst
Eliassen GroupCharlotte, NC, USData analyst
RandstadCharlotte, NC, USMarketing Analyst Expert
AfterQueryCharlotte, North Carolina, USData Analyst
Equitable AdvisorsCharlotte, NC, US- Promoted
Senior Data Analyst
K2 IntegrityCharlotte, NC, USData Quality Analyst
Saxon GlobalCharlotte, NC, US- Promoted
Data Analyst III
Pyramid Consulting, IncCharlotte, NC, US- Promoted
Data Analyst
CollaberaCharlotte, NC, USData Analyst
Ferretti SearchMatthews, NC, USData Analyst
AkkodisCharlotte, NC, USData Management Analyst
The Judge Group Inc.Charlotte, NC, USData Analyst - Accounting
Randstad North America, Inc.Charlotte, NC, United StatesData Analyst
Innova solutionsCharlotte, NC, US- New!
Data Analyst II
Dexian - DISYSCharlotte, NC, US- buying (from $ 39,000 to $ 262,500 year)
- facilities management (from $ 78,443 to $ 250,000 year)
- psychiatrist (from $ 20,000 to $ 246,870 year)
- physician (from $ 75,255 to $ 237,500 year)
- private equity (from $ 87,500 to $ 230,410 year)
- medical director (from $ 40,000 to $ 230,000 year)
- venture capital (from $ 195,000 to $ 225,000 year)
- investment banker (from $ 173,300 to $ 222,200 year)
- administrative director (from $ 66,250 to $ 222,200 year)
- banker (from $ 29,250 to $ 222,200 year)
The average salary range is between $ 72,486 and $ 123,825 year , with the average salary hovering around $ 89,193 year .
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Data Analyst_L3
IPS Technology ServicesMatthews, NC, US- Full-time
Job Description
Job Description
This is a remote position.
Job title : Data Analyst_L3
Location : Charlotte, NC
Job Type : Remote
JOB DESCRIPTION :
Looking to build a team of data set creators / labelers for GenAI models to support varied Commercial Insurance user cases across AIG. Applicants should be detail-oriented and organized to design, collect and curate high quality data sets that will power successful outputs of in-production AI models to drive underwriting. The Data Set Creation team will ensure our AI models are trained in accurate and representative data driving continuous improvement of the product.
Responsibilities :
- Partner with product owners to understand underwriting use cases across the company to design / implement data collection strategies & tools.
- Source, gather and organize raw data including broker submissions to produce high quality AI training sets.
- Monitor, maintain and conduct quality assurances and relevancy tests on existing data validation sets
- Collaborate with data scientists, engineers, and product teams to understand mod"