This is a brilliant time to join RPA – our organisation is growing and we’re at the heart of delivering the Government’s agricultural transition and making a genuine difference to the health of our environment and rural economy. We continue to make year on year improvements in performance as we become a data and intelligence-led organisation, embedding our vision of customer excellence at every level and growing our reputation to make a difference every day.
Our Data, Insight & Outcomes Business Area is a multidisciplinary team including Geospatial Analysts, Data Engineers and Architects, Data and Intelligence Analysts and a national Field Team. Together, we’re in a unique position to use our specialist skills to work with the agricultural community to deliver big, impactful change, supporting high level environmental and animal welfare outcomes and the move towards net zero. This is a really exciting time to join our team as we grow and develop our ability to continuously analyse nationwide agricultural activity and provide agile, directed data and evidence-driven support to the farming community.
We have clear values that we are embedding at every level in our organisation – improving engagement and innovating to be a more inclusive, supportive, and engaging employer. Our people own our values and bring them to life in everything we do – recent new starters have talked glowingly about how supportive and caring their new colleagues are.
We are proud of this culture; how open and approachable we are and our commitment to individual development, investing in the skills of our people and creating an environment in which everyone can flourish. We hope this appeals to you!
The roles being advertised are to cover a range of activities including data exploration, analysis, forecasting and business intelligence. All roles will sit within our Data and Analysis team, working closely with colleagues throughout the RPA.
As a Higher Data Analyst you will:
- provide data, analysis and insight to support the agencies work, using the most appropriate tools and techniques
- explore the large relational datasets available within our Data Warehouse, understanding how data interlinks and how meaningful analysis can be produced
- undertake deep dives into subsets of data, utilising a range of analytical techniques to understand what the data is telling us and communicate it to customers and stakeholders
- develop complex code to assure system rules and business logic is working correctly and develop tactical solutions where the system isn’t functioning as needed, enabling the agency to achieve its customer service goals
- work collaboratively with profiling and operational colleagues to develop intelligence on specific issues, analyse findings and draw appropriate inferences
- explore the benefits of new technologies to bring efficiencies to the current service, and extend the scope of our analytical offering
- enable efficient, effective and timely decision making, by providing high quality analysis, using the most appropriate data and methodology
- summarise and interpret information accurately, making use of different tools and data sources, to conduct analysis of key data sets using clear and simple terms
- utilise a range of data and intelligence to develop and maintain performance forecasting models, to help guide RPA’s resource deployment decisions
