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Associate Data Analyst


Job ID : 34447

Location : San Diego, CA

Company Name : MSIT

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $31000 - $44000  per hour

No. of Positions : I have ongoing need to fill this role


Required Skills : Data cleaning, preparation, Data analysis..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Compare source document data with database reports to detect errors and ensure completeness and conformity with established policies and procedures. Ensure any needed corrections or changes are accomplished.
  • Work with Manager and Senior Analyst to assist brokers with electronic filing questions and surplus lines procedural process questions.
  • Respond to broker questions. Monitor status of all open issues to ensure timely resolution.
  • Respond to inquiries from brokers in a timely manner. Escalate matters to management as appropriate.
  • Gain knowledge of all rules and practices regarding surplus lines law, regulations, and filing procedures.
  • Achieve established quality and quantity objectives for this position.
  • Build proficiency with all programs used in the SLA.
  • Build a working knowledge of the organization’s policies and procedures.

Qualification:

  • Experience using applied mathematics to build analytical models, including linear regression and time-series analysis, as demonstrated in a working environment or collegiate project.
  • Fundamental understanding and some experience building data integrations.
  • Experience with R, C , SQL or Java is a plus.
  • Experience building ETL/ELT pipelines, including data acquisition, transformation/cleansing, and loading into Enterprise Data Warehouse.
  • Ability to analyze data sets to determine relevance and identify anomalies.
  • Passion for solving problems using a variety of advanced analytical methods.

Key Skills:

  • Data cleaning and preparation.
  • Data analysis and exploration.
  • Statistical knowledge.
  • Creating data visualizations.
  • Creating dashboards and reports.
  • Writing and communication.
  • Domain knowledge.

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