

N Consulting Global
Business Analyst - Data Algorithms
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst - Data Algorithms in London, UK, on a hybrid basis for 8+ years. Pay rate is competitive. Key skills include SQL, data analysis, and experience in Banking or Financial Services. Certifications like CBAP are desirable.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure #SQL (Structured Query Language) #Data Governance #Documentation #Stories #Data Analysis #UAT (User Acceptance Testing) #Data Science #Datasets #Computer Science #BI (Business Intelligence) #Data Lineage #Scrum #ML (Machine Learning) #Data Engineering #Mathematics #Cloud #Data Mapping #AWS (Amazon Web Services) #Data Quality #Microsoft Power BI #Agile #Business Analysis #Python #Requirements Gathering #Tableau
Role description
Business Analyst / Data Analyst – Data Algorithms
Location: London, UK
Work Mode: Hybrid (3 days/week onsite)
Experience: 8+ Years
Job Overview
We are looking for an experienced Business Analyst (BA) or a Data Analyst (DA) with strong analytical capabilities to join our Data Algorithms team. The ideal candidate will have extensive experience gathering and translating business requirements into data-driven solutions, working closely with business stakeholders, product teams, and technical teams to support algorithm development, data modelling, and decision-making.
This role is ideal for:
• Business Analysts with 8+ years of BA experience, or
• Data Analysts with several years of Data Analytics experience supplemented by Business Analysis experience.
Experience within Banking or Financial Services is highly desirable.
Key Responsibilities
• Work with business stakeholders to gather, analyse, and document business and functional requirements.
• Translate business problems into analytical and data-driven solutions.
• Support the design and enhancement of data algorithms and analytical models.
• Produce high-quality Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), user stories, and process flows.
• Perform data analysis to identify trends, patterns, anomalies, and opportunities.
• Work closely with Data Engineers, Data Scientists, Architects, and Technology teams to deliver data solutions.
• Create data mappings, business rules, and data dictionaries.
• Validate business requirements through workshops, walkthroughs, and stakeholder reviews.
• Support UAT planning, execution, and defect management.
• Facilitate Agile ceremonies including backlog refinement, sprint planning, and reviews.
• Ensure solutions align with governance, data quality, and regulatory standards.
• Communicate project progress, risks, dependencies, and recommendations to stakeholders.
Required Skills & Experience
• 8+ years of Business Analysis experience, or equivalent combination of Data Analysis and Business Analysis.
• Strong experience in requirements gathering and stakeholder management.
• Experience working on Data Algorithms, analytics, or data-centric projects.
• Strong SQL skills for analysing and validating data.
• Experience with data mapping, data lineage, and data quality analysis.
• Ability to analyse large datasets and derive meaningful business insights.
• Experience creating process maps using BPMN, Visio, or similar tools.
• Strong documentation skills including BRDs, FRDs, user stories, and acceptance criteria.
• Experience working within Agile/Scrum delivery environments.
• Excellent communication and presentation skills.
• Strong problem-solving and analytical mindset.
Preferred Skills
• Banking or Financial Services domain experience.
• Experience with Reference Data, Master Data, or Data Governance.
• Knowledge of data modelling concepts.
• Experience with Python, Power BI, Tableau, or other analytics tools.
• Familiarity with cloud data platforms such as AWS or Azure.
• Experience working alongside Data Science or Machine Learning teams.
• Understanding of regulatory reporting and data governance frameworks.
Qualifications
• Bachelor's degree in Business, Computer Science, Information Systems, Mathematics, or a related discipline.
• CBAP, CCBA, PMI-PBA, or IIBA certification is desirable.
• Agile Business Analysis or Scrum certification is an advantage.
Key Competencies
• Business Analysis
• Data Analysis
• Data Algorithms
• SQL
• Requirements Gathering
• Stakeholder Management
• Data Mapping
• Business Process Analysis
• User Stories
• Agile / Scrum
• Data Quality
• Data Governance
• Analytical Thinking
• Problem Solving
• Banking Domain (Preferred)
This role offers the opportunity to work on innovative data initiatives, collaborating with cross-functional teams to deliver data-driven business solutions in a fast-paced, Agile environment.
Business Analyst / Data Analyst – Data Algorithms
Location: London, UK
Work Mode: Hybrid (3 days/week onsite)
Experience: 8+ Years
Job Overview
We are looking for an experienced Business Analyst (BA) or a Data Analyst (DA) with strong analytical capabilities to join our Data Algorithms team. The ideal candidate will have extensive experience gathering and translating business requirements into data-driven solutions, working closely with business stakeholders, product teams, and technical teams to support algorithm development, data modelling, and decision-making.
This role is ideal for:
• Business Analysts with 8+ years of BA experience, or
• Data Analysts with several years of Data Analytics experience supplemented by Business Analysis experience.
Experience within Banking or Financial Services is highly desirable.
Key Responsibilities
• Work with business stakeholders to gather, analyse, and document business and functional requirements.
• Translate business problems into analytical and data-driven solutions.
• Support the design and enhancement of data algorithms and analytical models.
• Produce high-quality Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), user stories, and process flows.
• Perform data analysis to identify trends, patterns, anomalies, and opportunities.
• Work closely with Data Engineers, Data Scientists, Architects, and Technology teams to deliver data solutions.
• Create data mappings, business rules, and data dictionaries.
• Validate business requirements through workshops, walkthroughs, and stakeholder reviews.
• Support UAT planning, execution, and defect management.
• Facilitate Agile ceremonies including backlog refinement, sprint planning, and reviews.
• Ensure solutions align with governance, data quality, and regulatory standards.
• Communicate project progress, risks, dependencies, and recommendations to stakeholders.
Required Skills & Experience
• 8+ years of Business Analysis experience, or equivalent combination of Data Analysis and Business Analysis.
• Strong experience in requirements gathering and stakeholder management.
• Experience working on Data Algorithms, analytics, or data-centric projects.
• Strong SQL skills for analysing and validating data.
• Experience with data mapping, data lineage, and data quality analysis.
• Ability to analyse large datasets and derive meaningful business insights.
• Experience creating process maps using BPMN, Visio, or similar tools.
• Strong documentation skills including BRDs, FRDs, user stories, and acceptance criteria.
• Experience working within Agile/Scrum delivery environments.
• Excellent communication and presentation skills.
• Strong problem-solving and analytical mindset.
Preferred Skills
• Banking or Financial Services domain experience.
• Experience with Reference Data, Master Data, or Data Governance.
• Knowledge of data modelling concepts.
• Experience with Python, Power BI, Tableau, or other analytics tools.
• Familiarity with cloud data platforms such as AWS or Azure.
• Experience working alongside Data Science or Machine Learning teams.
• Understanding of regulatory reporting and data governance frameworks.
Qualifications
• Bachelor's degree in Business, Computer Science, Information Systems, Mathematics, or a related discipline.
• CBAP, CCBA, PMI-PBA, or IIBA certification is desirable.
• Agile Business Analysis or Scrum certification is an advantage.
Key Competencies
• Business Analysis
• Data Analysis
• Data Algorithms
• SQL
• Requirements Gathering
• Stakeholder Management
• Data Mapping
• Business Process Analysis
• User Stories
• Agile / Scrum
• Data Quality
• Data Governance
• Analytical Thinking
• Problem Solving
• Banking Domain (Preferred)
This role offers the opportunity to work on innovative data initiatives, collaborating with cross-functional teams to deliver data-driven business solutions in a fast-paced, Agile environment.






