Data Analytics Specialist
other jobs eFinancialCareers
Added before 2 Days
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
Full job description London based family office is looking for an experienced Data and Reporting Specialist to become an integral part of their team. This is an exciting and unique opportunity to join this dynamic and well regarded organisation. You will work independently as well as with the investment team across Public equities, hedge funds, private equity and real estate.
Responsibilities include:
Build, maintain, and optimise data pipelines from multiple sources including market data providers, internal systems and third-party platforms
Ensure data integrity, consistency and accuracy across all analytical outputs
Design and maintain dashboards to report on performance, attribution and risk
Prepare regular investment reporting packs for internal committees and clients
Assist with the automation of manual workflows and processes across the business
Document all procedures, controls and methodologies
You will likely possess at least 3 years relevant experience in a Data Analytics role most likely with some performance/ attribution experience within Asset Management. You will be proficient in SQL and Python and hold prior experience in building dashboards and reports using BI.
Responsibilities include:
Build, maintain, and optimise data pipelines from multiple sources including market data providers, internal systems and third-party platforms
Ensure data integrity, consistency and accuracy across all analytical outputs
Design and maintain dashboards to report on performance, attribution and risk
Prepare regular investment reporting packs for internal committees and clients
Assist with the automation of manual workflows and processes across the business
Document all procedures, controls and methodologies
You will likely possess at least 3 years relevant experience in a Data Analytics role most likely with some performance/ attribution experience within Asset Management. You will be proficient in SQL and Python and hold prior experience in building dashboards and reports using BI.
Job number 3814961
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