Reward Data Science Analyst
at Lloyds Banking Group
Bristol, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Jan, 2025 | GBP 51060 Annual | 25 Oct, 2024 | N/A | Data Models,Relational Databases,Collaboration,Data Manipulation,Machine Learning,Pandas,Decision Making,Data Analytics,Tableau,Storytelling,Communication Skills | No | No |
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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
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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