Pricing Data Analyst & Automation Specialist

WNS

Sutherland Shire Council

On-site

AUD 90,000 - 120,000

Full time

4 days ago
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Job summary

WNS is seeking a Pricing Data Analyst to develop, deploy and test pricing data and algorithms within pricing systems in our Australia operations. You will prepare test plans, build test cases and gain deep understanding of pricing data sources and data engineering processes.

You will assist in applying statistical and actuarial analyses to pricing systems, design and monitor pricing processes, and explore automation opportunities to improve efficiency while collaborating with cross-functional

Qualifications

  • Graduate in Computer Science, Actuarial, Analytics or similar.
  • Minimum 1-2 years of relevant technical experience.
  • Technical skills: SAS, R, SQL; Excel and dashboarding; BI tools like Cognos or Tableau or R-Shiny; Insurance industry experience desirable.

Responsibilities

  • Focus on dataanalyse, develop, deploy and test pricing data and pricing algorithms in pricing systems.
  • Prepare test plans and construct test cases in pricing systems.
  • Develop understanding of pricing data sources, data engineering and manipulation logic.
  • Assist in implementing statistical, actuarial analysis into pricing systems.
  • Devise, implement and monitor pricing processes within agreed time scales and seek automation to gain efficiencies.

Skills

Analytical skills
Programming
Excel skills
Communication

Education

Bachelor's degree in Computer Science, Actuarial, Analytics or similar

Tools

SAS
R
SQL
BI tools

Job description

WNS is seeking a Pricing Data Analyst to develop, deploy and test pricing data and algorithms within pricing systems in our Australia operations. You will prepare test plans, build test cases and gain deep understanding of pricing data sources and data engineering processes.

You will assist in applying statistical and actuarial analyses to pricing systems, design and monitor pricing processes, and explore automation opportunities to improve efficiency while collaborating with cross-functional

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