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Data Business Analyst

Job Title: Data Business Analyst
Contract Type: Permanent
Location: Jersey City, New Jersey
Industry:
Salary: £65000 - £75000 per annum
: ASAP
REF: 1007201_1520461292
Contact Name: Daryl Medlin
Contact Email: Daryl.Medlin@ojassociates.com
Job Published: 4 months ago

Job Description

Requirements:

  • Strong domain knowledge and experience in P&C insurance. Exposure to P&C insurance specific data systems and processes. Knowledge on reporting requirements such as bureau, regulatory is a plus.
  • Solid knowledge of advanced SQL, including stored procedures; knowledge of data management is a plus
  • Comfortable working with structured data in various formats (fixed length, comma/tab delimited, SQL data)
  • Experience coding small to mid-size data transformation, cleansing and validation scripts to be used in data transformation workflows, and exposure to scripting or developmental languages
  • Experience in interpreting "raw" detailed written business rules
  • Provide high quality support to customer needs and support data transformation and development, data quality analysis, uncovering data insights, resolving data and business inquiries
  • Demonstrable data skills such as profiling, data quality assessment, mapping and data lineage
  • Have enough experience as a developer to help in setting up the standards/procedures for a new streamlined development group
  • Have a very good understanding and experience of data manipulation, report generation and data validation procedures; experience with Alteryx or any other data blending tool is a plus
  • Advanced knowledge of Microsoft office toolset (Word, Excel)
  • Working knowledge with any reporting or Business Intelligence tools

Characteristics:

  • Detailed oriented analyst with strong organizational skills
  • Must be a self-starter, self-motivated, and customer-service oriented
  • Strong critical thinking, analytical skills
  • Strong facilitation and excellent verbal and written communication skills
  • Being a team player (seeing the larger picture) while being able to work independently on the details; comfortable with seeking own answers
  • Be able to be productive in a small, informal development group in a large established business environment

Experience / Education:

  • Bachelor's degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, or economics
  • 4+ years of relevant work experience, including at least 1 year of data transformation or data mining experience using large and complex datasets
  • Background in property/casualty insurance; knowledge of ISO statistical plan reporting is a plus