Data Insights Analyst
hace 3 semanas
About the Role
As a key member of the Global Client Business team, you will play a crucial role in developing reporting solutions that deliver actionable insights to drive business growth. Your expertise in data analysis, statistical modeling, and machine learning will enable you to refine ambiguous business questions into key performance metrics, providing thought leadership on improving global reports and supporting bespoke business needs.
Main Responsibilities:
- Refine business questions into key performance metrics through deep understanding of data, clients, and business
- Understand purpose of reporting to business stakeholders and provide thought leadership on improving global reports
- Create high-visibility dashboards, reports, and visualizations to ensure timely delivery of valuable metrics and actionable insights
- Act as resource for citizen developers within client business unit developing their own bespoke reporting
- Collaborate with other members of data science and analytics community across firm on best practices, code review, internal tools and process improvements
Key Requirements:
- Effective collaboration and presentation skills with technical and non-technical partners
- Understanding of decision science, statistical modeling techniques, and machine learning
- Excellent SQL, Python/R, data analysis, and problem-solving skills
- Highly quantitative with keen eye for teasing out insights from volumes of data
- Bachelor's or Master's degree in Math, Computer Science, Statistics, Economics, Physics, Engineering or another quantitative field
Compensation Package:
$80,000 - $120,000 per year, depending on experience
About Us:
We are Engineering UK, a leading provider of innovative engineering solutions. Our mission is to help more people experience financial well-being by delivering smart investment solutions. We pride ourselves on creating an inclusive environment where our colleagues feel valued and supported. As an equal opportunities employer, we welcome applications from diverse candidates.
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