

Strategic Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Strategic Data Analyst with 3-5 years of experience in financial services or technology. Contract length is unspecified, with a pay rate of "unknown". Key skills include Advanced Excel, VBA, Power BI, SQL, and Python.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 19, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Sheffield, England, United Kingdom
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π§ - Skills detailed
#Python #BI (Business Intelligence) #Strategy #Consulting #VBA (Visual Basic for Applications) #SQL (Structured Query Language) #Data Analysis #Microsoft Power BI #SharePoint
Role description
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Profile Strategic Data Analyst senior analyst in finance or risk with strong modelling skills or technology analyst
Mandatory capabilities
The successful candidate will have submitted to the Sourcer a sample of their work and responded to 2 questions Sourcers should forward CVs of candidates who shared credible work samples and responses to the questions
3 to 5 years of experience in consulting financial services or technology
Technical skills would cover Advanced Excel VBA Power BI Power Query SharePoint SQL Python etc
They seek exposure to csuite strategy work and career acceleration
They combine analytical rigour practical knowhow and stakeholder management skills
Updated Screening Process
To help ensure we are selecting the strongest candidates for our limited assessment slots we are adding two prescreening questions at the CV sourcing stage These help us identify candidates with genuine handson experience
Required Candidate Questions at Sourcing stage
Tool Experience For Excel Power Query Power BI and SharePoint Rate your proficiency and describe one specific challenge or limitation you have encountered with each tool in real project work
Work Sample Please attach an Excel sample of your analytical work and explain What would you do differently if you redid this analysis What was the most challenging aspect of the data