QC Data Analyst - Data Quality & Methods

Responsibilities: Day-to-day: Able to act independently under guided supervision to investigate issues Co-ordinate work and build strong relationships with On-Shore Managers Able to form views on how new processes ought to be constructed. Able to contribute both to BAU (Business as Usual) enhancements and to work under the umbrella of a project. Responsible for End of Period checks : volume & quantity extremes and trends checks (comparison with external data ) Communication Skills: Excellent written and verbal communication skills to effectively communicate with diverse audiences. Understanding the wider business Develops a basic understanding of the Operations functions Develop an understanding of the Commercial usage of our data Develop a broader understanding of our direct competitors Training & Development Take ownership for self-development and where available participate in structured training. Gains proficiency in all relevant databases, data interrogation and reporting tools (for example Databricks, SQL, Python , Excel, MyWorldpanel etc.) Communication & Collaboration Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email) Adhering to deadlines and escalating where there is a risk of delays Demonstrate and role model best practise and techniques including positive communication style. Displays a proactive attitude when working both within and outside of the team. Demonstrates clear, direct and to the point communication at Data Methods team meetings Issue Management and Best Practice Proactive identification and root cause analysis of Data Methods issues and development of best practice solutions to improve the underlying methodology and processes. Support regular methodology review meetings with On-Shore Manager and Leads to establish priorities and future requirements. Knowledge sharing through the team, in either team meeting or day-to-day with the wider Data Methods team Able to think through complex processes and to how to construct and improve them, considering in detail the positive and negative implications of different approaches and how best to test and assess them. Resource management Organising your workload efficiently Adhering to schedules Escalating any risks to deadlines and capacity challenges

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