Business Data Analyst

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Business Data Analyst London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The successful candidate will join a growing Business Data & Analytics (BDA) team playing a key role in supporting the development of our applications. In this role, you will collaborate with cross functional teams to transform internal and external data into high-value insight for senior stakeholder Your Future Role within QRT · Partner with talent and business teams to create and deliver people analytics solutions · Conduct advanced analysis across internal and external datasets to uncover trends, insights, and new perspectives on people data · Develop and enhance analytical tools and prototype features that provide clear and actionable insights for senior stakeholders · Apply creative and analytical thinking to explore new ways of structuring, visualising, and communicating complex datasets and ideas · Manage the end-to-end analytics lifecycle, from data collection and validation through to reporting and visualisation, ensuring strong data integrity and reliability · Work cross-functionally to improve existing analytics capabilities and identify new opportunities for insight generation and workflow enhancement Your Present Skill Set · 1-3 years of experience in Data Science, Analytics,

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