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Data Analyst

3 months ago

Davao City, Davao, Philippines Zywave, Inc. Full time
  • Analyze and assess new databases/datasets from data share partners.
  • Create business rules and functional requirements necessary to set up ETL processes to ingest new datasets, as well as recurring.
  • Ensure quality and accuracy of the DSP datasets, this includes:

-Creating business logic and processes to QA new and re-occurring data loads.

-Maintain data standards and structure by producing validation and quality assurance reports to ensure data quality

and consistency.

Identify, analyze, and interpret trends or patterns in data sets.

Interpret data and develop recommendations based on findings.

Interface with company's clients and third parties as needed to obtain and interpret data.

Perform other tasks on projects as needed/assigned by management.

Handling any ad-hoc requests related to DSP data.

  • Create business rules and functional requirements necessary to modify existing DSP processes, as well as any new processes proposed by the data team.
  • Support products that depend on Property and Casualty data.
  • Answer and address any related data issues.
  • Work with developers to support the team.

Qualifications:

  • BS/BA in Information Systems, Statistics, Mathematics, Business, Economics or other related discipline, or equivalent combination of education and experience.
  • Can understand and write SQL scripts on any of modern relational databases (Oracle/SQL Sever/Postgres/MySQL).
  • Able to identify patterns and trends in large data sets using descriptive and inferential statistics.
  • Familiarity with property and casualty insurance data and general knowledge of insurance industry preferred.
  • Experience in data mining techniques and procedures and ability to apply these techniques appropriately.
  • Well-established understanding of various graphical and textual data presentation and their appropriate uses to convey information to our users and clients.
  • Ability to create functional specifications.
  • Experience working with BI tools (domo, micro strategy, etc.)
  • Extensive experience in using statistical tools (preferably R) to summarize and analyze large data sets and present analysis.
Seniority level
  • Seniority level Associate
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology, Analyst
  • Industries Software Development
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