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Data Analyst
Data Analyst Principal – Principal Responsibilities & Role Overview
The Principal responsibilities will involve:
- Turning large quantities of complex client data into insights that inform decision-making and drive business benefit
- Quickly identifying incomplete and diverse data sets, pinpointing potential issues that could affect the accuracy and completeness of analysis
- Recognising the value of deep data understanding, validating information, and reconciling data sets as part of the Data Analytics Cycle
- Producing data visualisations, detailed reporting, and analytics with clear business commentary
- Collaborating closely with multi-disciplined teams to deliver end-to-end client solutions in a timely manner
- Balancing technical and analytical demands while maintaining flexibility
- Being open-minded, curious, and committed to continuous learning and development
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Responsibilities
- Deliver clear, concise, and insightful data analytics to help clients make sound business decisions based on fact
- Translate data analysis into targeted information that drives actionable improvements—tailored to specific client or industry needs
- Enhance Sagacity’s Product Suite through the delivery of robust data insights
- Take accountability and ownership for both client and internal deliverables
- Support the Data Analytics team through:
- Knowledge transfer
- Peer-to-peer reviews
- Mentoring to increase team skills and continuous learning
Qualifications
- Proficiency in analytical programming languages such as Python and/or SQL
- Understanding of relational databases and principles of data querying
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Required Skills
- Skills in SQL, Tableau, and/or Power BI
- Ability to manage multiple projects efficiently by:
- Planning backwards from deadlines (incl. testing/QA)
- Proactively identifying risks and mitigations
- Inquisitive mindset—suggests further analysis and flows findings into actionable insights
- Commercial experience in Telecoms, Banking, or Utilities industries, or within a data-related consultancy, preferred
- Willingness to travel throughout the UK
- Able to work based at London Office (minimum of 2 days per week on site)
Preferred Skills
- Experience with data visualisation tools and techniques
- Strong communication skills for presenting findings to stakeholders
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Skills
Data Analysis
Python
SQL
Data Visualization
Tableau
Power BI
Analytical Skills
Communication Skills
Problem Solving
Time Management
Risk Identification
Mentoring
Client Solutions
Data Validation
Reporting
Continuous Learning
Location