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
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - 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.