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- Act as a mentor and provide technical leadership to other members of the team
- Work collaboratively with other disciplines in multi-disciplinary teams to communicate clearly on progress
- Develop and maintain close working relationships with internal stakeholders, to understand relevant developments which may have implications
- Scope projects and pieces of analysis, working with domain experts and key stakeholders to understand their business problems and translate these into analytical solutions
- Lead and contribute to projects, advising on appropriate and innovative qualitative and/or quantitative methods and applying these to solve complex problems
- Implement agile working practices
- Identify any issues with data quality or gaps, and flag/address these where possible
- Create documentation, reports, and dashboards to support the dissemination of research, analysis and insights
- Effectively and clearly communicate technical findings and recommendations to both technical and non-technical stakeholders
- Be the owner of the risk and control environment for your area and be accountable for the quality of you and your team’s outputs
- Exercise cost control and manage expenditure to work within the agreed operating budget
- Excellent data analysis skills, including the ability to handle a variety of complex datasets
- Basic knowledge in all the following areas, with expertise in several and knowledge of when to apply which methods:
- Excel modelling
- Knowledge of statistical modelling, methods and techniques
- Data visualisation skills and tools (e.g. Tableau)
- Data manipulation skills and tools (e.g. SQL, NoSQL, Alteryx)
- Programming skills (e.g., Python, R)
- Knowledge of data science techniques (e.g. text analytics) and tools (e.g. Hadoop)
- Social research methods, focus groups, workshops, survey design and key informant interviews
- Familiarity with Monitoring, Evaluation and Learning frameworks and their construction and implementation
- Strong experience with all stages of the data analysis process (problem identification and structuring, data collection and storage, data investigation and exploratory analysis, data cleaning and manipulation, analysis and modelling, visualisation and communication)
- Strong project management experience – from conception to development to delivery
