Empresaria Group plc

Business Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst in London, UK (Hybrid – 3 days onsite) until October 2026, with a pay rate of "unknown." Requires 8+ years in Data Analytics, strong SQL, visualization tools, and experience in customer success or operations.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 6, 2026
🕒 - Duration
More than 6 months
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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
#AI (Artificial Intelligence) #Tableau #Data Science #Scala #ML (Machine Learning) #Databricks #Snowflake #Big Data #Qlik #Data Integrity #"ETL (Extract #Transform #Load)" #Data Pipeline #SQL (Structured Query Language) #Spark (Apache Spark) #A/B Testing #Visualization #Python #Data Extraction #Data Analysis #R
Role description
Job Title: Business Data Analyst Location: London, UK (Hybrid – 3 days onsite) Duration: Until October 2026 Responsibilities: • Build and maintain scalable data pipelines, ensuring data integrity and governance across international markets • Develop intuitive dashboards and reports to deliver actionable business insights • Perform deep-dive analysis to identify customer pain points and operational inefficiencies • Support A/B testing and experimentation to drive continuous improvement • Leverage AI tools to automate reporting and enhance predictive analytics • Collaborate with cross-functional teams and communicate insights to stakeholders Skills: • Strong SQL expertise for data extraction and transformation • Experience with visualization tools (Tableau, Qlik, or similar) • Knowledge of big data platforms such as Snowflake, Databricks, or Spark • Proficiency in Python or R (preferred) • Understanding of statistical analysis and experimentation methods • Strong problem-solving and stakeholder communication skills Qualifications: • 8+ years of experience in Data Analytics or Data Science • Experience in customer success, operations, or digital experience domains preferred • Exposure to AI/ML or Generative AI is a plus • Bachelor’s or Master’s degree in a quantitative field (preferred) If you are interested kindly share your updated CV on manjusha.kumaran@empresaria.com Let's connect to discuss more.