

Deloitte
Business Analyst – Data / MI / Planning / Forecasting
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst – Data / MI / Planning / Forecasting with a 6-month contract, hybrid work in East London or Manchester, starting ASAP. Key skills include BI tools, data governance, and forecasting experience in financial services.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 2, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#BI (Business Intelligence) #Datasets #"ETL (Extract #Transform #Load)" #Data Manipulation #Data Governance #Data Quality #Forecasting #Business Analysis
Role description
Role: Business Analyst – Data / MI / Planning / Forecasting
Location : Hybrid, 2 -4 days per week in East London or Manchester
Start: ASAP, likely 2026
Duration: 6 months initially, plus likely extension (Inside IR35)
This is an exciting opportunity to be part of a dynamic large-scale operation in the financial services industry.
We have a number of roles as follows:-
Business Analyst – Data / MI / Planning / Forecasting
We are seeking a h ighly analytical and detail driven BA with significant experience working with Data / MI / Planning / Forecasting
Key Responsibilities
· Translating business needs into clear requirements and supporting the delivery of data solutions, dashboards and reporting capabilities.
· Analysing existing MI tools, planning processes and data flows, identifying gaps and improvement opportunities.
· Analysing complex datasets to validate requirements and assess data quality
· T ranslate business logic into operational MI and planning datasets.
· Validate outputs such as dashboards, reports and planning models to ensure accuracy.
· Demand planning as an input into integrated business planning (IBP) and driving the end-to-end supply chain.
· Generating business value from data and analytics
About You
· Familiarity with BI tools and data manipulation tools for analysis.
· Exposure to data governance, data quality frameworks.
· Experience working on transformation programmes
· Experience developing driver-based monthly forecasts, reviewing and adjusting these forecasts, and measuring monthly demand plan performance.
· Experience preparing value forecasts from volume forecasts, optimizing forecast parameters, and facilitating reviews with cross-functional teams
Role: Business Analyst – Data / MI / Planning / Forecasting
Location : Hybrid, 2 -4 days per week in East London or Manchester
Start: ASAP, likely 2026
Duration: 6 months initially, plus likely extension (Inside IR35)
This is an exciting opportunity to be part of a dynamic large-scale operation in the financial services industry.
We have a number of roles as follows:-
Business Analyst – Data / MI / Planning / Forecasting
We are seeking a h ighly analytical and detail driven BA with significant experience working with Data / MI / Planning / Forecasting
Key Responsibilities
· Translating business needs into clear requirements and supporting the delivery of data solutions, dashboards and reporting capabilities.
· Analysing existing MI tools, planning processes and data flows, identifying gaps and improvement opportunities.
· Analysing complex datasets to validate requirements and assess data quality
· T ranslate business logic into operational MI and planning datasets.
· Validate outputs such as dashboards, reports and planning models to ensure accuracy.
· Demand planning as an input into integrated business planning (IBP) and driving the end-to-end supply chain.
· Generating business value from data and analytics
About You
· Familiarity with BI tools and data manipulation tools for analysis.
· Exposure to data governance, data quality frameworks.
· Experience working on transformation programmes
· Experience developing driver-based monthly forecasts, reviewing and adjusting these forecasts, and measuring monthly demand plan performance.
· Experience preparing value forecasts from volume forecasts, optimizing forecast parameters, and facilitating reviews with cross-functional teams






