JOB DESCRIPTION. Fundraising Strategy & Knowledge / Analysis Team. 35hrs per week, Monday to Friday, 9.30am 5.30pm. Band 7: 35,746-42,554 per annum

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1 JOB DESCRIPTION Job Title Reporting to: Department/Team Location Hours Salary Band/Grade Duration Analysis Manager Fundraising Strategy & Knowledge / Analysis Team Unicef House, 30a Great Sutton Street, London, EC1V 0DU 35hrs per week, Monday to Friday, 9.30am 5.30pm Band 7: 35,746-42,554 per annum 12 month fixed term contract Position in the organisation This post reports to the Analysis Manager within the Analysis team. The Analysis team is part of the Fundraising Strategy & Knowledge team at Unicef UK. The purpose of the Fundraising Strategy & Knowledge team is to lead the strategic planning process in fundraising, champion market knowledge, deliver insight through research and analysis and co-ordinate the fundraising budgeting process. All s are responsible for providing an integrated view of supporter behaviour through digital and non-digital channels therefore there is strong link with the Digital Hub. The Digital Hub s strategic mission is to lead Unicef UK s digital engagement strategy and be a centre of digital excellence, providing leadership and consultancy to achieve organisation wide adoption of effective digital marketing techniques. The (Digital specialism) has a dotted management line to the Head of Digital Engagement to propel alignment of these strategies. The position in the team is as shown here: The United Kingdom Committee for Unicef Company Limited by Guarantee Registered Charity No England and Wales) and SC (Scotland) Registered Office: 30a Great Sutton Street London EC1V 0DU

2 Director of Fundraising Head of Fundraising Strategy Fundraising Strategist Analysis Manager Head of Leadership Relationships Fundraising Financial Analyst (Digital specialist) Prospect Development & Research Manager New Ventures Manager Digital Hub Prospect Researcher Data Analyst Prospect Researcher Purpose of Post Unicef UK are in the first year of a very ambitious 5 year plan, which seeks to grow fundraising significantly. This role is critical to aiding growth by facilitating evidence-based decision making. The specific purpose of this post is to:- 1. Conduct strategic analysis using relational databases and/or digital data sources and make actionable recommendations that inform and support evidence-based decision making for Fundraising teams. 2. Identify and deliver data models to optimise profitability or efficiency, or to enable scenario assessment. 3. Championing an evidence-based decision making culture through communicating key findings and insights widely throughout the directorate and implementing good knowledge management practices 4. Work closely with other teams to ensure that supporter data used for fundraising activity is accurate and fit for purpose. Responsibilities Analysis Conduct high-level strategic analysis work, interpret results, draw conclusions and actionable recommendations to guide evidence-based decision making, inform future activity and optimise business opportunities. Identify, develop and deliver data-driven solutions that maximise supporter responsiveness, engagement, loyalty and support e.g. predictive data models, propensity models, attribution models, forecasting models.

3 Spearhead the adoption of robust analytical approaches throughout the organisation, e.g. through our segmentation, donation prompting and testing strategies, by providing peer review, recommendations and/or assessing whether programme changes deliver as anticipated. Commission and co-ordinate outsourced analytical work as required ensuring appropriate agreements are in place and services are delivered as agreed. Planning & KPI Reporting Guide the development of dashboards that enables effective performance review against strategy and/or business objectives, this includes defining and setting targets for Key Performance Indicators. Contribute to planning and reforecast processes and the review of performance against plans as required. Relationships Work closely with stakeholders at all levels to evaluate business needs, share knowledge and recommendations, and influence strategic change. Empower others, through training and support, to develop their analytical and interpretation skills thus building organisational capacity. Data, Systems & Processes Proactively contribute to discussions and recommend improvements on data use, definition and management so that Unicef UK s data is accurate and fit for purpose. This will include understanding of how data is stored on our relational databases and digital data sources. Set up processes that enable self-service reporting and/or commission standard reporting through our Marketing Data team. Continually improve our knowledge management processes so learnings, insight and analysis are captured and easily accessible by all. Line Management [as required] Manage a Data Analyst, in line with Unicef s Common Approach principles, to ensure that work is delivered to time and requirements and that the data analyst has the knowledge, skills and resources needed to successfully meet objectives. Core This role involves the post holder working beyond the standard working hours from time to time and occasional foreign travel. Commitment to continuing professional development including advising on new analytical approaches, technology trends and activity within the not-for-profit sector. Carry out other duties as required and requested in keeping with the wider needs of the team, particularly in emergencies and in order to support a flexible team approach.

4 PERSON SPECIFICATION This section details the skills, behaviours and experience required for the role. All criteria in the Person Specification are essential. Effective Behaviours Criterion 1: Communication Criterion 2: Creating & Innovating Criterion 3: Positive relationships Criterion 4: Results focused Criterion 5: Good management Ability to Convey complex ideas in a compelling manner, tailoring arguments to persuade the listener and using story-telling to bring analysis to life. Use a range of creative and engaging formats to win understanding, commitment and support at all levels. Identify, assess and make recommendations and / or implement better ways of doing things to deliver competitive advantage. Nurtures professional relationships with colleagues at all levels and with external contacts and partners to support collaborative working and achievement of objectives. Prioritises and sustains focus on work that will have the greatest impact on agreed aims. Reviews results and extracts learning to optimise future performance. Work with others and supervises effectively, giving full information, encouragement, support and understanding. Relevant Experience Criterion 6: Analytical techniques such as building models to predict customer behaviour, developing and reviewing robust marketing tests (A/B or multivariate testing), optimising customer/user journeys, conducting life time value, audience profiling, KPI development, attrition and other analysis to deliver business benefits in a marketing context Criterion 7: Technical experience of Excel (including advanced functions, pivot tables), SQL (on any platform), and at least one relevant industry standard software such as digital analysis packages (e.g. Google Analytics), reporting tools (e.g. Tableau), statistical software (e.g. SPSS) Criterion 8: Enhancing data for reporting, analysis and marketing purposes e.g. recommending income coding or new data fields to improve behaviour tracking, or recommending site-wide tagging strategies for new and existing digital data sources. Specific Skills Criterion 9: Think logically, manipulate and analyse data to extract key learning and provide pragmatic problem solving solutions. Specific Knowledge Criterion 10: Direct and digital marketing a solid understanding of marketing from a data perspective; with the ability to identify opportunities and contribute to planning discussions and strategies.

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