

N Consulting Global
Senior Data Analyst / Data Modeler
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Analyst / Data Modeler contract position in London, UK, for 10+ years of experienced professionals. Key skills include SQL, Power BI, data modeling tools, and expertise in financial services.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
Unknown
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ποΈ - Date
March 27, 2026
π - Duration
Unknown
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ποΈ - Location
On-site
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π - Contract
Fixed Term
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π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#Data Pipeline #Business Analysis #Jira #MIFID (Markets in Financial Instruments Directive) #Physical Data Model #Data Analysis #Data Quality #Azure #Migration #Data Governance #Compliance #Microsoft Power BI #UML (Unified Modeling Language) #Visualization #Data Extraction #Big Data #Scrum #Data Migration #Datasets #MySQL #Data Mapping #Cloud #Agile #GCP (Google Cloud Platform) #BI (Business Intelligence) #BigQuery #API (Application Programming Interface) #Automation #ERWin #QlikView #Oracle #Data Science #SQL Server #Data Integrity #Python #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language)
Role description
π Weβre Hiring: Senior Data Analyst / Data Modeler
π Location: London, UK
πΌ Experience: 10+ Years
π Employment Type: Contract /FTC
Role Overview
We are looking for a highly experienced Senior Data Analyst / Data Modeler with a strong background in data analytics, data modelling, and business analysis within enterprise environments. The ideal candidate will have expertise in financial services, digital transformation, and large-scale data-driven projects.
Key Responsibilities
β’ Design and develop logical and physical data models using tools like ERWIN, Visio, or similar
β’ Analyze large datasets to generate actionable insights and support strategic decision-making
β’ Collaborate with business stakeholders to gather and translate requirements into data solutions
β’ Build and maintain dashboards and reports using Power BI, QlikSense, or similar tools
β’ Define data flows, data mappings, and ensure data integrity across systems
β’ Support data migration and transformation initiatives for legacy to cloud platforms
β’ Work closely with engineering teams on API integrations and data pipelines
β’ Implement data governance, data quality, and compliance standards (e.g., regulatory reporting)
β’ Use SQL, Python, and BigQuery for data extraction, transformation, and analysis
β’ Drive continuous improvement in data processes and reporting capabilities
Required Skills & Experience
β’ 10+ years of IT experience with strong focus on data analytics and data modelling
β’ Proven experience in banking/financial services, telecom, or e-commerce domains
β’ Expertise in SQL (MySQL, Oracle, SQL Server) and data querying
β’ Strong experience in data visualization tools (Power BI, QlikSense, QlikView)
β’ Hands-on experience with data modelling tools (ERWIN, UML, BPMN)
β’ Experience with cloud platforms such as Azure or GCP
β’ Strong understanding of data warehousing, ETL processes, and big data technologies
β’ Knowledge of regulatory frameworks (KYC, AML, Basel, MiFID II) is a plus
β’ Familiarity with Agile/Scrum methodologies and tools like Jira, Confluence
Soft Skills
β’ Excellent stakeholder management and communication skills
β’ Strong analytical thinking and problem-solving ability
β’ Ability to work in cross-functional, global teams
β’ Proactive mindset with ownership and delivery focus
Nice to Have
β’ Certifications in Azure, Power BI, or Scrum
β’ Experience in API integrations and workflow automation
β’ Exposure to data science or predictive analytics
π Weβre Hiring: Senior Data Analyst / Data Modeler
π Location: London, UK
πΌ Experience: 10+ Years
π Employment Type: Contract /FTC
Role Overview
We are looking for a highly experienced Senior Data Analyst / Data Modeler with a strong background in data analytics, data modelling, and business analysis within enterprise environments. The ideal candidate will have expertise in financial services, digital transformation, and large-scale data-driven projects.
Key Responsibilities
β’ Design and develop logical and physical data models using tools like ERWIN, Visio, or similar
β’ Analyze large datasets to generate actionable insights and support strategic decision-making
β’ Collaborate with business stakeholders to gather and translate requirements into data solutions
β’ Build and maintain dashboards and reports using Power BI, QlikSense, or similar tools
β’ Define data flows, data mappings, and ensure data integrity across systems
β’ Support data migration and transformation initiatives for legacy to cloud platforms
β’ Work closely with engineering teams on API integrations and data pipelines
β’ Implement data governance, data quality, and compliance standards (e.g., regulatory reporting)
β’ Use SQL, Python, and BigQuery for data extraction, transformation, and analysis
β’ Drive continuous improvement in data processes and reporting capabilities
Required Skills & Experience
β’ 10+ years of IT experience with strong focus on data analytics and data modelling
β’ Proven experience in banking/financial services, telecom, or e-commerce domains
β’ Expertise in SQL (MySQL, Oracle, SQL Server) and data querying
β’ Strong experience in data visualization tools (Power BI, QlikSense, QlikView)
β’ Hands-on experience with data modelling tools (ERWIN, UML, BPMN)
β’ Experience with cloud platforms such as Azure or GCP
β’ Strong understanding of data warehousing, ETL processes, and big data technologies
β’ Knowledge of regulatory frameworks (KYC, AML, Basel, MiFID II) is a plus
β’ Familiarity with Agile/Scrum methodologies and tools like Jira, Confluence
Soft Skills
β’ Excellent stakeholder management and communication skills
β’ Strong analytical thinking and problem-solving ability
β’ Ability to work in cross-functional, global teams
β’ Proactive mindset with ownership and delivery focus
Nice to Have
β’ Certifications in Azure, Power BI, or Scrum
β’ Experience in API integrations and workflow automation
β’ Exposure to data science or predictive analytics






