Turn large quantities of complex client data into insights which can be used to inform decision making and drive business benefit
Are quick to identify incomplete and diverse data sets, pin pointing data issues which may affect the accuracy and completeness of any analysis performed
Recognise the importance and value of understanding the data they are analysing, validating the information provided and reconciling the data • sets as part of the Data Analytics Cycle
Produce data visualisations, detailed reporting and analytics underpinned with clear business commentary
Work closely with multi-disciplined teams to deliver end to end client solutions in a timely manner • Balance the technical and analytical demands of their role
Are open minded and flexible with a thirst for knowledge and an appetite for continuous development
What Success Looks Like in the Role
Clear, concise and insightful data analytics which enable our clients to make sound business decisions based on fact
Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client / industry need
Continued improvement of Sagacity’s Product Suite through the delivery of robust data insight
Ability to take accountability and ownership for client and internal deliverables
Work as part of a Data Analytics team proving knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team’s skill sites and drive continuous learning
Competencies and Behaviours
Proficiency in analytical programming language such as python and/or SQL
Understanding of relational databases and concepts for querying data
Proficiency in tools like Tableau, and/or Power BI
Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation
Is inquisitive, suggests 'next steps’ analysis and translates analytical findings to actionable insight
Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial
Able to travel throughout the UK
Can be based at our London Office (min 2 days per week on site)
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