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Manager, Data Analytics

Manager, Data Analytics

Hong Leong Assurance BerhadPetaling Jaya, Selangor, Malaysia
17 jam yang lalu
Penerangan pekerjaan

HR Business Partner at Hong Leong Assurance

Job Description

  • Responsible in develop and implement data science capabilities and models that support business objectives, including segmentation, profiling, identify quality leads, next best offer, etc.
  • Apply predictive modeling, machine learning, and statistical techniques to solve complex business problems, enhance operational processes, and identify cross-sell and upsell opportunities.
  • Lead data science initiatives from ideation to deployment, including business case identification, requirements gathering, assessment, solution design, development, testing, implementation, performance tracking, and automation.
  • Work closely with business stakeholders, IT and other functional teams in a dynamic environment to ensure alignment and successful delivery of solutions.
  • Write SQL scripts to integrate and transform data from multiple sources, to perform data-mining and extraction for ad-hoc analytics requests such as business performance insights and regulatory reporting.
  • Develop comprehensive, timely and accurate analysis, and presentations by using analytical and visualization software to communicate insights and recommendation to stakeholders.
  • Analyze complex datasets using statistical tools and techniques to identify trends, correlations and patterns that inform business decisions.
  • Practice discipline in progress tracking, attentive communication & collaboration, documentation and building sustainable & scalable solutions.
  • Stay current with industry trends, emerging technologies, and best practices in data science and analytics.

Job Requirement

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Actuarial Science, or a related field.
  • Solid understanding of machine learning algorithms, statistical modeling and data engineering principles.
  • Experience in propensity modelling and strong knowledge in using advanced analytics tool and languages to analyze large datasets from multiple data sources.
  • Knowledge of life insurance practices preferred.
  • At least 5 years of data science experience in the financial or insurance industry is preferred. Candidate with supervisory experience is preferred.
  • Strong proficiency in SAS, SQL and Python / R.
  • Familiar with data visualization tool e.g. Tableau
  • Advantageous to have experience in RDBMS and data mining tools such as MS SQL Server Mgmt Studio, Google Cloud Platform, etc.
  • University degree or equivalent.
  • At least 5 years of relevant working experience.
  • Possess strong leadership qualities, Excellent interpersonal skills, Able to collaborate with other teams to drive positive outcomes and ability to manage multiple priorities and manage senior stakeholders.
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Analyst
  • Industries

  • Financial Services, Insurance, and Banking
  • #J-18808-Ljbffr

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