Reed

Business Data Analyst

Morgan McKinley
London, UK
£250 – £300
about 14 hours ago

Skills & Technologies

PythonData AnalyticsSQLETLData ScienceStatisticsTableauQlikSparkSnowflakeDatabricksA/B TestingGenAIKPIsCustomer SuccessBIReportingAIAutomationDocumentation

Job Description

Business Data Analyst London (Hybrid, 2 days per week in office) | Contract | £250 - 300pd

We're working with a leading global tech organisation to hire a Business Data Analyst to help build and scale core data capabilities across multiple international markets. This is a high-impact role focused on turning data into actionable insight, strengthening data foundations and enabling AI-ready analytics across Customer Success, Digital Experience, Service Delivery and Support functions.

You'll sit in the International Customer Success analytics team and play a key role in improving how customer outcomes are measured, understood and improved across non-US markets. This is not a pure BI role, it's end-to-end analytics, from building data foundations through to dashboards, insight generation and strategic storytelling.

Key Responsibilities

Build and strengthen data foundations, pipelines and governance, ensuring scalable, consistent datasets across international regions

Support AI-ready data structures, including clear documentation, standardisation and data quality improvements for downstream AI consumption

Design and deliver scalable dashboards and reporting, connecting customer journey metrics

Perform deep-dive analysis and root cause insights to identify drivers of customer issues, digital adoption and operational performance

Support A/B testing and experimentation, analysing outcomes and quantifying business impact

Communicate insights through strong storytelling, translating complex analysis into clear, actionable recommendations

Skills & Experience

Experience in Data Analytics or Data Science, ideally within Customer Success, Digital or Operations environments

Strong SQL skills (essential)

Experience with Tableau, Qlik or PowerBI

Exposure to Snowflake, Databricks, Spark or ETL processes (desirable)

Python experience (nice to have)

Strong understanding of statistics, A/B testing and experimentation

Experience working with customer/digital or contact centre KPIs preferred

Comfortable working in fast-paced, ambiguous environments with multiple priorities

Genuine interest in AI and automation, with curiosity around how GenAI can improve analytics workflows

About You

You're a proactive data analyst who goes beyond reporting, someone who connects the dots between data, insight and business impact. You're comfortable engaging with stakeholders, challenging requirements where needed and thinking strategically about the "so what" behind the numbers.

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

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