RedCat Digital

Business Intelligence Analyst – High Level SQL Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst with high-level SQL experience, offering £280/day for a 3-month rolling contract in London. Key skills include SQL, Tableau/Qlik, ETL processes, and A/B testing, with call center data experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
304
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🗓️ - Date
March 27, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Tableau #A/B Testing #Data Accuracy #Databricks #Quality Assurance #BI (Business Intelligence) #Data Science #Data Manipulation #Qlik #SQL (Structured Query Language) #Python #Scala #"ETL (Extract #Transform #Load)" #Migration #Data Governance #Databases
Role description
Business Intelligence Analyst – High Level SQL experience Day rate: £280/day inside IR35 3 Month rolling contract Location: London, UK Start: ASAP We are seeking a highly motivated and experienced Business Intelligence Analyst to join a dynamic Customer Success team on a 3-month rolling contract. In this role, you will play a key part in driving data-led decision-making across Growth, Retention, and Customer Experience functions. You will be responsible for leading and supporting the evolution of business-critical reporting, including the migration of dashboards from country-level to regional-level views, and redesigning underlying SQL (Databricks) queries and ETL pipelines to support this transition. You will also collaborate closely with Data Science and senior stakeholders to enhance KPI dashboards used at C-suite level, ensuring insights are aligned to evolving business needs. Working closely with end users and cross-functional teams, you will gather requirements, refine key metrics, and redesign dashboards (Tableau/Qlik) to deliver clear, actionable insights across customer journeys, retention, and revenue-generating activities. This role requires a strong technical background, especially in SQL, as you will be expected to demonstrate your SQL proficiency during the interview process. Day to Day: • Maintain Digital Recommendations reporting and add new use cases. • Support the CS analytics team on experiments related to revenue-generating activities. • Maintain Agent Recommendations reporting and provide insights to the Growth & Retention teams. • Improve Retention reporting to reflect revenue metrics. • Support the transition of data structures from the existing market model to a new regional model. • Support Growth & Retention business reviews with insights to enhance revenue-generating programs. • Create dashboards to visualize end-to-end customer journeys, supporting improvements in the Customer Experience. Key Responsibilities: 1. Dashboard Development: • Design and build interactive, intuitive dashboards to monitor retention and revenue-generating activities. • Develop and maintain scalable ETL processes to integrate data and support dashboard creation. • Utilize SQL and Python to query databases, perform data manipulation, and automate analysis. 1. Experimentation: • Support the Growth & Retention teams by analysing and reporting on A/B testing results. • Provide historical data for key metrics to establish baseline performance and experiment targets. 1. Collaboration: • Work closely with Customer Success, Sales, and Marketing teams to understand reporting needs and refine dashboard functionalities. • Present data-driven insights to business stakeholders and executives in a clear, concise manner. 1. Quality Assurance: • Ensure data accuracy and integrity by implementing best practices in data governance and quality control. • Troubleshoot and resolve any data-related issues quickly. Technical Skills: • Strong expertise in SQL for reporting, querying, data manipulation, and ensuring robust data solutions. This skill will be rigorously tested during the interview process. • Proven experience in building dashboards using tools such as Tableau, Qliksense, or similar platforms. • Familiarity with ETL processes and tools. • Experience with A/B testing methodologies and analysis. Industry Experience: • Experience with call center data, including understanding relevant metrics and KPIs. • Familiarity with web data and digital support tools, along with associated KPIs.