Reward Data Science Analyst

at  Lloyds Banking Group

Bristol, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jan, 2025GBP 51060 Annual25 Oct, 2024N/AData Models,Relational Databases,Collaboration,Data Manipulation,Machine Learning,Pandas,Decision Making,Data Analytics,Tableau,Storytelling,Communication SkillsNoNo
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Description:

End Date
Thursday 07 November 2024
Salary Range
£0 - £0
We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job Share
Job Description Summary
.
Job Description
JOB TITLE: Reward Data Science Analyst

Responsibilities:

Your purpose is to decipher complex data, uncover trends, and deliver actionable insights to stakeholders

  • Your foremost responsibility is to conduct thorough and insightful data analysis. You extract, clean, and transform Reward and wider relevant HR data, deriving significant insights to drive evidence-based decision-making.
  • Conduct rapid data analysis to extract insights from HR datasets, identifying trends, anomalies, and opportunities for optimisation.
  • Generate reports, presentations, and visualisations that effectively convey data-driven insights to non-technical stakeholder

Responsibilities:

  • Data Analysis and Modelling: Conduct in-depth analysis of Reward and HR data to identify trends, patterns, and opportunities for improvement.
  • Build and refine predictive models to forecast workforce dynamics and attrition risk.
  • Algorithm Development: Create innovative machine learning algorithms to optimise our Total Reward offering in line with market benchmarks and personalising to specific role types.
  • Continuous Improvement: Stay abreast of the latest data science techniques and trends, continuously enhancing the bank’s HR analytics capabilities.
  • Perform exploratory data analysis on Reward and HR datasets to uncover trends and anomalies.
  • Use visualisation tools and techniques to provide user friendly insight to help answer specific questions.
  • Providing accurate and insightful data analysis to support the strategy of the team.
  • Create and evolve tools, dashboards and models to drive decision making on key Reward topics.
  • Collaborate with HR teams to understand use cases before designing and implementing innovative solutions
  • Lead efforts to enhance data quality, integrity, and security within Reward data sources


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

Bristol, United Kingdom