Data Analyst
Gofractional
Role
Who you are
- 2–4 years of experience in data analytics, business intelligence, or a similar technical-functional role
- Ability to take a structured task and identify the necessary logic, filters, and edge cases (e.g., how to handle partial months) independently
- Enthusiasm for using AI (LLMs) to speed up SQL writing, debug code, and draft initial documentation templates
- Strong SQL and/or Python or R skills; ability to manipulate and handle large volumes of data, work across data from disparate sources and environments, perform data transformation with ease, and debug others' code with minimal guidance
- Demonstrated experience building and publishing reports using modern BI tools; experience with Tableau, Mode, or PowerBI strongly preferred
- Clear and concise written communication, being able to explain a data discrepancy to a stakeholder without overwhelming them with technical jargon
- Basic understanding of data warehousing concepts (Star Schema, Fact vs. Dimension tables)
What the job involves
- This position is an individual contributor who supports the end-to-end data lifecycle by taking defined business problems and turning them into clean, validated data assets
- You will work under the guidance of a Senior Analyst and Manager to bridge the gap between "raw data" and "business answers." You are the engine of execution — someone who has mastered the technical basics and is now navigating the complexities of business requirements and cross-functional collaboration
- This is a 12 Month Fixed Term Contract (FTC) role based in our London
- Assist in workshops with business/compliance teams to document user requirements, business rules, and reporting requirements
- Create and maintain data dictionaries and source-to-target mapping documents to ensure everyone speaks the same "data language"
- Map out existing business processes to identify where data is captured and where it is missing
- Write and optimise modular SQL queries to transform raw data into "analyst-ready" tables
- Perform initial exploratory data analysis (EDA) to flag inconsistencies, null values, or outliers to the Senior Analysts and Data Engineers
- Run the primary tests for User Acceptance Testing (UAT), comparing expected outcomes against newly built solutions
- Build and iterate on data visualizations (Tableau, Mode, PowerBI, etc.) based on business requirements, established wireframes, and functional specs
- Monitor existing dashboards for performance issues or data freshness, troubleshooting and fixing logic errors as they arise
Work Arrangement
- Location: London
- Schedule: 2-3 days a week in office
- Contract Type: 12 Month Fixed Term Contract
Reference: WJ-766_22199647