Haystack
Data Analyst
London
£217/day
Posted about 22 hours ago
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The Role
- Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions and governance tailored for international markets.
- Develop data capabilities that function consistently across multiple regions and countries, while adapting to specific local requirements.
- Automate recurring reporting and validation processes, ensuring data structures are optimized for AI consumption.
- Create and maintain scalable dashboards that provide comprehensive visibility into key performance metrics across the entire customer journey.
- Deliver deep-dive analytics by conducting root cause analysis to uncover drivers of customer pain points and operational inefficiencies.
- Translate analytical findings into actionable recommendations to improve customer journeys and optimize operational decisions.
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What You'll Need
- Solid experience in Data Analytics or Data Science, with exposure to Customer Success, Operations, or Digital Experience domains.
- Proficiency in SQL for data extraction, transformation, and pipeline development.
- Experience with dashboarding and visualization tools (e.g., Tableau, Qlik, or similar).
- Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes.
- Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences.
- Strong problem-solving skills with the ability to balance strategic priorities and tactical execution.
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What's On Offer
- Competitive daily rate of up to £217.09 (PAYE).
- A 10-month hybrid contract opportunity.
- Work with groundbreaking AI-native analytics and contribute to a leading global technology company.
- Opportunity to influence strategy and drive significant impact on customer journeys and operational efficiency.
Apply via Haystack today!
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Skills
SQL
Data Analytics
Data Science
Tableau
Qlik
Snowflake
Databricks
Spark
ETL
Dashboarding
Data Visualization
Root Cause Analysis
Data Governance
Pipeline Development
Location