At a Glance
- Tasks: Analyse data to support agricultural initiatives and drive impactful change.
- Company: Join a growing organisation dedicated to environmental health and rural economy.
- Benefits: Supportive culture, individual development, and opportunities for career growth.
- Why this job: Make a real difference in agriculture while developing your analytical skills.
- Qualifications: Experience in data analysis and a passion for making an impact.
- Other info: Be part of a collaborative team focused on innovation and inclusivity.
The predicted salary is between 28800 - 48000 Β£ per year.
This is a brilliant time to join RPA. Our organisation is growing and we are 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 & Innovation Business Area is a multidisciplinary team including Geospatial Analysts, Data Engineers and Architects, Data Analysts and Intelligence Analysts. Together, we are 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.
The roles being advertised are to cover a range of activities from data engineering, analysis and development all will sit within our Data and Analysis team, working closely with colleagues throughout the RPA.
Responsibilities
- 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 isnβt 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.
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people.
Higher Data Analyst in Leeds employer: Rural Payments Agency
Contact Detail:
Rural Payments Agency Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Higher Data Analyst in Leeds
β¨Tip Number 1
Network like a pro! Reach out to current employees at RPA on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Data & Innovation team.
β¨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss specific tools and techniques you've used in the past, and how they can apply to the work at RPA. Show us you know your stuff!
β¨Tip Number 3
Donβt just focus on your technical skills; highlight your soft skills too! RPA values collaboration and support, so be sure to share examples of how you've worked well in teams or helped colleagues in previous roles.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our mission to make a difference in the agricultural community.
We think you need these skills to ace Higher Data Analyst in Leeds
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your CV and cover letter for the Higher Data Analyst role. Highlight your relevant skills and experiences that align with the job description, especially those related to data analysis and collaboration.
Showcase Your Analytical Skills: In your application, donβt just list your skills; demonstrate them! Use examples from your past work where youβve successfully analysed data and provided insights. This will show us how you can contribute to our mission.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We want to see your ability to communicate complex information simply, just like you would in the role.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way to ensure your application gets to us quickly and efficiently. Plus, youβll find all the details you need about the role there!
How to prepare for a job interview at Rural Payments Agency
β¨Know Your Data Tools
Familiarise yourself with the data analysis tools and techniques mentioned in the job description. Be ready to discuss your experience with relational databases and any specific software youβve used. This shows youβre not just a numbers person, but someone who can leverage technology effectively.
β¨Understand the Bigger Picture
Research RPAβs role in the agricultural transition and how data impacts their mission. Being able to connect your analytical skills to their goals will demonstrate your genuine interest in the position and the organisation's values.
β¨Prepare for Deep Dives
Think of examples where you've conducted deep dives into data sets. Be prepared to explain your analytical process and how you derived insights from complex data. This will showcase your problem-solving skills and ability to communicate findings clearly.
β¨Show Collaborative Spirit
Since the role involves working closely with various teams, be ready to share experiences where you collaborated on projects. Highlight how you contributed to team success and how you value input from others, aligning with RPAβs supportive culture.