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Data Orchard CIC
Multiple Locations
£26,000 - £30,000 per year
Join the fab Data Orchard CIC team to provide analytical support for a range of amazing social sector clients. Be creative and innovative.

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GLF Schools
Banstead, Surrey
£28,000 per year
We are looking for a digital practitioner who can develop our data management systems to provide insight for the Trust.
Birmingham and Solihull Women's Aid
£27,741 per year
To play a key role in the organisation’s ongoing measurement of its impact through processing and analysing data
Great Ormond Street Hospital Charity
City of London
£36000 - £40000 per annum
Cats Protection
Multiple Locations
£35000.00-£40000.00 per year
Senior Infrastructure Analyst
Great Ormond Street Hospital Charity
City of London
£37,000 to £41,000 per annum
Data Orchard CIC
Multiple Locations
£26,000 - £30,000 per year
Join the fab Data Orchard CIC team to oversee the collection and analysis of our data to evaluate our impact; and support sales and delivery
Multiple Locations
£38,890 per year (+ Location Weighting)
Education Development Trust
£37,000 - £41,000 per year (dependent on experience)
Be an advocate for technology and influence the wider use of technology to move the trust towards being a digital organisation.
Page 1 of 7
Hereford, Herefordshire
£26,000 - £30,000 per year
Contract, 12 month contract with a view to become permanent, Full-time
Job description

Data Orchard is looking for a Data Analyst to come and join our team. Here you will find the job description, purpose, and responsibilities of the role. We have specified the essential and desirable personal skills and attributes we’re looking for in applicants.In addition, there are general responsibilities expected of all staff and information about working for Data Orchard.The recruitment schedule is provided at the end. The role responsible to the Co-Chief Executive (Madeleine Spinks) and is predominantly remote working but we do have a small office in Hereforsdhire and are open to emmployees using a co-working office space near their home. The right to work in the UK is required. 

Overall Purpose of Job

●To provide analytical support on client projects for a range of not-for-profit organisations (including charities, social enterprises, housing associations and public sector).

●To explore, test and demonstrate tools and techniques contributing to our reputation for high quality, creative, and innovative data analysis.

Specific responsibilities

●Data cleaning, preparation, and analysis to support the team on a range of client projects.

●Data management, merging and manipulation of multiple complex datasets.

●Statistical analysis of datasets from a range of surveys, databases, spreadsheet and open data sources.

●Maintain good data governance and data security, maintaining and updating data assets, recording of processes and ensuring data protection at all times.

●Data visualisation to demonstrate patterns and trends to communicate in accessible ways to different audiences.

●Produce and contribute to reports, blogs, presentations and interactive web tools.

●Work with colleagues to design and deliver workshops and training including teaching data skills to clients.

●Horizon scanning for tools and techniques for presenting and communicating data in accessible and effective ways.

●Participate in learning and building our specialist knowledge and skills.

●Contribute to the continuous improvement of the company’s processes, tools, products, services, and impact evaluation.

Personal skills and attributes


Professional skills and expertise: Relevant degree in a subject with a quantitative component. or evidence of equivalent knowledge gained through career experience. Have knowledge of the client sectors Data Orchard serves.

Analytical and problem-solving skills: Understand how to apply analytical techniques to data.Synthesise and present clear findings that colleagues and clients can understand and use. Know when and how to involve your team in analysis and synthesis.

Analysis tools: Knowledge and experience of a range of statistical programming, analysis and visualisation tools including spreadsheets, Python and/or R, and ideally, a range of dashboard/business intelligence tools.

Curious and Questioning:Curious and questioning approach when thinking about data and how to explore it. Evidenced based approach to certainty and uncertainty in data. 

Organised and Systematic: Logical, structured approach to making sense of data.

Attention to Detail: meticulous and exacting in ensuring data quality, identifying and checking detail. Recognise and identify appropriate ways to collect, collate and prepare data. 

Data visualisation and presentation: Know how to use the most appropriate medium to visualise data to tell compelling stories. Present, communicate and disseminate data (written/verbal).

Communication: Communicate clearly in writing and verbally, with good presentation skills. Relate well to people with differing perspectives. Able to communicate information to technical and non-technical audiences. Able to build positive relationships and work well within a team.Ideally, experience of facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 

Self-motivated: Uses initiative and self-motivated to explore and learn to develop knowledge and skills, and to share these.

Time Management: Able to manage your time and work priorities and identify and reach out when you need support.

Resourceful: Draws on inner resources and is resilient in difficult situations. Remains productive and focused in a pressurised environment;. Acts quickly to pull together plans and resources to get things done, and knows when to ask for help.


Passionate: Has the drive, energy and enthusiasm to champion the data4good cause and support other organisations to develop their data capabilities.

Training skills: Experience of delivering online training and facilitation online workshops:

Project management skills: Know how to manage projects in relation to time, budgets and deliverables. 

General responsibilities for all staff

To support and promote Data Orchard’s core values at all times:

  • Collaboration: Cooperate, trust, listen, and communicate with team members, clients and partners.
  • Respect: Carry out all responsibilities in accordance with Data Orchard’s Equality and Diversity Policy.Show mutual respect and consideration for one-another. Ensure peoples’ diverse backgrounds, ideas and opinions can be heard.
  • Openness: Contribute to a culture of trust and shared learning. To constructively challenge and be open to being challenged by others. Be inquisitive and receptive to discussion, new ideas and ways of doing things. 
  • Quality: Apply high standards of professionalism in the work we deliver to clients and how we interact with them, our colleagues and partners.Ensure our work meets legal and ethical standards and is quality assured.
  • Honesty: Be truthful and fair. To behave with integrity and objectivity. To take responsibility and keep promises.
  • Performance Management: Actively participate in reviews of what went well and what didn't (projects, own work, the organisation).
  • Learning and Development: Identifying and undertaking training and development activities as agreed with your line manager. Participate in company procedures and learning.
  • Health and Safety: Ensure all work is undertaken in accordance with health and safety legislation rules and regulations.Follow procedures and be aware of matters that relate to the duties of the post.
  • Use of Resources: Ensure value for money and best use of resources in the role and all activities related to Data Orchard.

Working for Data Orchard

Data Orchard combines specialist skills in research, statistics and data with a passion for making the world a better place socially, economically and environmentally. Our mission is to enable organisations to use data for better decisions and greater impact.

As a social enterprise we are values driven and use our profits and assets for public good. Our values are: honesty, quality, collaboration, respect and openness.

We have a goal to support and train more young and diverse people into data and not-for-profit sector careers. We are committed to promoting diversity and inclusion in the workplace and enabling flexible and collaborative online working.We actively encourage and welcome applications from candidates of diverse cultures, perspectives and lived experiences.

New employees are given a contract and induction to include a staff handbook, policies and procedures.Here's a summary of the benefits of working here:

Flexible and Remote Working

Data Orchard offers flexible working, such as compressed working week, home/remote working, part time and job sharing. We are committed to supporting a healthy work life balance among our staff.

Learning and Career Development

We provide a wide range of learning opportunities to help develop skills and expertise to achieve the potential and aspirations of each staff member. We think the work is interesting and hope you will too!


Data Orchard offers a staff pension scheme.This requires a contribution of 5% of your gross earnings which Data Orchard will match with 4%. If you wish to contribute over and above this percentage, you may do so.


The holiday entitlement for full time employees is 25 days per year plus 8 bank and public holidays, with an increase of one day per year of service (up to a maximum of 5).Your holiday entitlement will be pro-rata to your hours of work if you work part time.The holiday year runs from 1st April to 31st March. Holiday entitlement for this post is 33 days per annum FTE.

Parental Leave

All pregnant employees are entitled to take up to 26 weeks ordinary maternity leave and up to 26 weeks additional maternity leave. Salary will be replaced by statutory maternity pay if you are eligible to receive it. Please refer to the maternity policy for more detail.

Paternity, shared parental and adoption leave meet statutory requirements and are detailed in the Staff Handbook.

Other types of leave

Arrangements for other types of leave are found in the Staff Handbook and Sick AbsencePolicy. 

Probationary Period

All new appointments are subject to a probationary period of 3 months. 

Recruitment Schedule

Deadline for Applications midnight Friday 3rd December

Notification of whether candidates have been shortlisted or not Tuesday 7th December.

Analytical Task for shortlisted candidates from 7th to noon Monday 13th December *

Interviews Thursday 16th December 2021

Job Offer 17th December with confirmation required by 21st December 2021

*shortlisted candidates will be required to complete an analytical task to present at the interview. We estimate this should take no more than 4 hours to prepare and all shortlisted candidates will be paid for their time on the task regardless of whether or not they are offered the role. 

Additional documents
Data Analyst Job Pack (.docx)
Check commute
Starting Address
Mode of transport
Refreshed on: 19 November 2021
Closing date: 03 December 2021
Job ref: DA2021
Tags: Policy/Research,Digital

The client requests no contact from agencies or media sales.

Job closes in 4 days
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