

Experis UK
Senior Data Analyst, Business Intelligence Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst, Business Intelligence Data Analyst, based in Middlesex, on a 12-month contract with a pay rate up to £65k. Requires 5+ years in analytics, advanced Excel, ETL tools, and data visualization proficiency.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 6, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Strategy #Datasets #Python #Data Pipeline #Tableau #Pivot Tables #Visualization #QlikView #"ETL (Extract #Transform #Load)" #R #Data Modeling #Data Manipulation #Alteryx #Data Engineering #Microsoft Power BI #BI (Business Intelligence) #SQL (Structured Query Language) #CRM (Customer Relationship Management) #Data Analysis
Role description
Job Title: Business Intelligence Data Analyst
Location: Middlesex
12 Month Contract
Salary up to £65k + Benefits
Job Type: Full-time
Department: Sales Operations / Business Analytics
Job Overview
Are you passionate about transforming data into strategic insights that drive business success? We are looking for a Business Intelligence Data Analyst to support our Global Virtual Sales (GVS) team across EMEA. This role is essential to enabling data-driven decision-making that maximizes sales effectiveness and enhances operational efficiency.
As part of a dynamic and collaborative environment, you’ll work closely with cross-functional teams—including Sales, Finance, Operations, Strategy & Planning, and IT—to analyze complex datasets and deliver actionable insights. Your work will directly influence how we execute our Sales Go-to-Market strategy and shape the future of virtual selling
Key Responsibilities
• Enable and support data-driven decision-making across sales operations to enhance productivity and revenue growth.
• Conduct advanced analysis of complex datasets spanning sales, operations, marketing, and planning.
• Design and develop reports and dashboards to track performance, identify trends, and uncover growth opportunities.
• Collaborate with global and regional teams to ensure business continuity and alignment across functions.
• Work with data engineering and IT teams to integrate, clean, and optimize data pipelines and analytical tools.
• Partner with internal Business Intelligence groups to evolve analytics capabilities, specifically within the virtual sales ecosystem.
• Translate business questions into analytical problems and provide data-backed recommendations.
Minimum Qualifications
• 5+ years of experience in a Business Intelligence, Data Analyst, or Applied Analytics role.
• Proven ability to analyze and interpret complex data to deliver clear insights and strategic recommendations.
• Exceptional attention to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities.
• Advanced Excel skills, including pivot tables, formulas, and data modeling.
• Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep).
• Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo.
Preferred Qualifications
• Experience in sales operations or go-to-market strategy analytics.
• Knowledge of CRM systems like Salesforce.
• Familiarity with SQL, Python, or R for data manipulation and analysis.
• Experience working in a large-scale enterprise environment with cross-functional global teams.
Job Title: Business Intelligence Data Analyst
Location: Middlesex
12 Month Contract
Salary up to £65k + Benefits
Job Type: Full-time
Department: Sales Operations / Business Analytics
Job Overview
Are you passionate about transforming data into strategic insights that drive business success? We are looking for a Business Intelligence Data Analyst to support our Global Virtual Sales (GVS) team across EMEA. This role is essential to enabling data-driven decision-making that maximizes sales effectiveness and enhances operational efficiency.
As part of a dynamic and collaborative environment, you’ll work closely with cross-functional teams—including Sales, Finance, Operations, Strategy & Planning, and IT—to analyze complex datasets and deliver actionable insights. Your work will directly influence how we execute our Sales Go-to-Market strategy and shape the future of virtual selling
Key Responsibilities
• Enable and support data-driven decision-making across sales operations to enhance productivity and revenue growth.
• Conduct advanced analysis of complex datasets spanning sales, operations, marketing, and planning.
• Design and develop reports and dashboards to track performance, identify trends, and uncover growth opportunities.
• Collaborate with global and regional teams to ensure business continuity and alignment across functions.
• Work with data engineering and IT teams to integrate, clean, and optimize data pipelines and analytical tools.
• Partner with internal Business Intelligence groups to evolve analytics capabilities, specifically within the virtual sales ecosystem.
• Translate business questions into analytical problems and provide data-backed recommendations.
Minimum Qualifications
• 5+ years of experience in a Business Intelligence, Data Analyst, or Applied Analytics role.
• Proven ability to analyze and interpret complex data to deliver clear insights and strategic recommendations.
• Exceptional attention to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities.
• Advanced Excel skills, including pivot tables, formulas, and data modeling.
• Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep).
• Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo.
Preferred Qualifications
• Experience in sales operations or go-to-market strategy analytics.
• Knowledge of CRM systems like Salesforce.
• Familiarity with SQL, Python, or R for data manipulation and analysis.
• Experience working in a large-scale enterprise environment with cross-functional global teams.