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Job Summary:
The Analyst, Fundraising & Marketing Analytics is responsible for delivery of analytics and data-driven insight in support of the Foundation’s fundraising programs, products and campaigns, as to best drive net revenue growth, supporter loyalty and supporter engagement.
This includes support in data operations, analysis, segmentation, targeting, as well as process documentation and data management. This role primarily supports, but is not exclusive to, the Lottery program.
Working collaboratively with departmental and organizational peers the role will provide analytics support in a fast-paced, fluid environment to ensure data-driven decision-making advances progress toward our mission.
Key Accountabilities
Analytics and Visualization program support (50%)
• Analyze customer behaviour and work with marketing leads to develop and implement supporter segmentation and communication strategies and tactics
• Evaluate tactics and develop data insights to identify opportunities to improve supporter communication, upgrade, cross-sell, retention and lifetime value
• Intake analytics and reporting requests, including documenting requirements, metrics and dimension definitions, mock ups and robust documentation while tracking in task management platform
• Ensure the accurate completion of daily, weekly and campaign performance reports, as well as automated reports and dashboards using BigQuery, PowerBI, Salesforce Marketing Cloud, Google Analytics, Social and Paid Digital channels amongst other data sources.
• In-campaign, track Media, Digital and Offline channel results, provide status updates during weekly meetings and recommend changes mid campaign to drive results
Campaign Planning, Data Operations and Data Management (40%)
• Collaborate in the planning, execution and evaluation of the Foundation’s multi-channel Direct Marketing campaigns
• Manage the marketing campaign calendar ensure critical dates related to data operations are met
• Extract data required for campaign analysis and communications using existing data protocols and request forms
• Document new data protocols to ensure knowledge sharing and transfer
• Work with key stakeholders and media vendors to support media campaign planning
• Ensure data operations meet plan and data sent to and received from external partners is accurate and timely
• Identify when changes or improvements to datasets are required, and collaborate to develop requirements and UAT
• Work with vendors to ensure work is being completed as agreed
• Work across the organization to keep informed of other Foundation programs and activities to identify opportunities for learning, insight and collaboration
• Support priority initiatives and projects
Budgeting and Planning Administration (10%)
• Provide data and insights to support the development of program leads’ annual and short-term plans, forecasts and budgets
• Build strong lateral relationships with IT team and vendors to achieve maximum integrations and synergies
Performance Metrics
Financial (revenue target, budgetary responsibility etc.)
Non- financial (customer / donor retention, stewardship, relationship management etc.)
• Ensure data is done in a manner consistent with the campaign goals and structure
• Ensuring insights inform and support program leads in developing campaigns that lead to maximum donor engagement and revenue
Communication
Contacts / Stakeholders
• Fundraising, Marketing, Constituent Experience, Email, Innovation and Mission Teams
• Procurement & Production Team
• Information Management
• External data partners
Purpose
• Exchange and convey information
• Influence regarding best practices
• Learning and adoption of processes
Frequency (indicate whether occasional, frequent or daily)
• Frequently
Give an example of the most difficult and challenging communication including the frequency and audience (be sure to indicate whether internal or external):
Internal: Intake of analytics requirements while guiding clients (Fundraising, Marketing, CX, Email, Innovation, Mission) through metrics and dimensions, aligning business questions to standardized measurement frameworks and analytical best practices.
Educational Requirements
• University degree in analytics, data science, statistics, finance or equivalent
Work Experience
• Minimum 2 years of analytics or data management experience in a customer-centered organization
• Experience reporting on mass media campaigns including all types of digital and traditional media channels
• Experience delivering data analysis and insight through storytelling and visualization
• Experience in data-visualization and data modeling using tools like Power BI or Tableau
• Experience working with CRM systems, and Cloud Analytics environments like BigQuery, Snowflake or Redshift
• Experience working with Google Analytics and digital marketing performance management
Skills
• Solid experience and understanding of data to inform integrated digital/offline campaign operations, tactics evaluation and results monitoring
• Exceptional data analysis skills using Excel, SQL, DAX
• Data-visualization using tools like Power BI
• Experience integrating AI tools (Co-pilot, Claude, etc…) into an analytics workflow
• A good understanding of customer experience
• Understanding of customer file segmentation and strategic planning based on ongoing interactive communication
• Good project management skills and ability to oversee and execute on complex campaign schedules
• Ability to translate complex ideas to layperson language
• Ceaseless curiosity and an ability to delve into the data to prove/disprove hypothesis
• An extremely strong ability to translate data into action
• Strong ability to manage multiple demands
• Strong interpersonal skills including collaboration and consultation as part of a team
• Self-starter with comfort turning ambiguity into process and action
