Data, Impact and Evaluation

DATA, IMPACT AND EVALUATION OFFICER

Early applications are encouraged - we may conduct interviews as suitable candidates apply and we're ready to hire if we find the right person before the job ad closes.

About the role

We re looking for someone who can help Likewise understand, evidence and communicate the difference our work makes for people, for our community, and for the wider system we re part of.

The Data, Impact and Evaluation Officer will hold and develop our monitoring and evaluation functions, ensuring they reflect the relational nature of our work. Understanding our data, demonstrating our impact, and telling our story in a compelling way are central to our organisation s strategy going forward. Whether that s about generating the income to do our work, making sure more people can access our services, or reporting to funders on the social impact of their investment, this role plays a vital part in ensuring our story is well evidenced, well told and widely understood.

This role combines technical ability in data, reporting and evaluation with relational and strategic strengths in collaboration and influence. You ll work closely with Service Leads, our Fundraising Manager, Wellbeing Support Workers and Volunteers to ensure that data is rigorously collected, recorded, analysed and interrogated. Where you spot gaps in our systems and processes, you ll lead on designing and implementing solutions.

You ll also act as Likewise s lead for GDPR and data protection, ensuring we handle all information ethically, safely and in line with our values.You ll also act as Likewise s lead for GDPR and data protection, ensuring we handle all information ethically, safely and in line with our values.

Key responsibilities

1. Data and systems

• Review Likewise s current data systems and processes and build an understanding of our current strengths, challenges and opportunities for improvement.

• Establish and manage user-friendly, intuitive data collection processes that reflect the realities of our frontline work.

• Ensure the quality, consistency and completeness of data across services, supporting accurate reporting and insight.

• Maintain and develop Likewise s monitoring and evaluation framework, ensuring alignment with organisational priorities and funder requirements.

• Lead on the improvement of digital systems (e.g. CRM, data dashboards) to make data easier to use and learn from.

• Lead on GDPR and data protection, including overseeing data management and storage practices, coordinating team training and acting as first point of contact for any data protection

2. Analysis and reporting (supporting fundraising and contracts)

• Work with the Fundraising and Communications Manager to generate robust evidence and stories for funding bids and reports.

• Provide accurate, insightful data to demonstrate need, reach and outcomes for current and prospective funders.

• Contribute to reporting cycles and project monitoring for grants and commissioned work.

• Help identify and articulate trends or insights that strengthen our funding cases and future proposals.

3. Demonstrate and evidence impact

• Analyse quantitative and qualitative data to show outcomes, learning and social impact.

• Produce clear, engaging reports and summaries for internal learning and external audiences.

• Develop or refine theories of change and outcome measures that capture relational and person-centred change.

• Draw on wider research and evidence to contextualise and strengthen our impact story.

4. Stories and case studies

• Build engagement and understanding across the team in the how and why of data and story collection fostering curiosity, ownership and care.

• Work with staff, students and volunteers to collect stories, vignettes and quotes that bring our work to life.

• Collaborate with the Fundraising and Communications Manager to share stories in accessible, ethical and creative ways through reports, social media or campaigns.

5. Support service improvement and learning

• Help teams use data and feedback to reflect, learn and adapt making learning relevant and motivating.

• Provide practical training and tools to build confidence and data literacy across teams.

• Support Directors and Leads to interpret learning and feed insights into service design and development.

Onboarding and immersion

• Spend time in the early weeks embedded in our work shadowing staff, students and volunteers across our 1-1 and community activities.

• Use this experience to ground frameworks, reporting and data practices in the lived reality of our work.

About you

We re looking for someone who combines curiosity and rigour someone who can handle data confidently, but also cares about the human story behind it.

You ll thrive at Likewise if you are self-motivated and adaptable. You ll need to be comfortable with uncertainty, autonomy, and enjoy working in an environment that s collaborative and ever-evolving. You may find it harder here if you prefer fixed structures, clear hierarchies or rigid processes the way we work asks for flexibility, shared responsibility and mutual accountability.

Essential

• Experience in monitoring, evaluation, data or research within a charity, public sector or community setting.

• Experience working with CRM or case management systems.

• Strong analytical skills (quantitative and qualitative) and confidence with tools such as Excel or Power BI.

• Ability to design or refine data collection frameworks and indicators.

• Excellent written communication, able to translate data into compelling insight and learning.

• Strong relationship-building and influencing skills, with the ability to collaborate across teams.

• Organised and self-motivated, with attention to detail and follow-through.

• Reflective and values-driven, comfortable with complexity and nuance.

Desirable

• Understanding of relational or trauma-informed approaches to care and support.

• Experience in the mental health, social care or community sector.

• Experience supporting organisational learning or delivering training.

• Qualification in social research, data science, or a related field.