With the lead of the Senior Data & Analytics Manager and in coordination with the assigned REM Units, they enable fact-based decision-making by delivering impactful data-driven insights. They advocate a customer-focused approach to fundraising concentrated on donor-centricity and business processes.

With and across the REM division:

• Promotes the use of data-driven insights to improve fundraising effectiveness and efficiency;
• Assists Heads of Units and Relationship Managers in reflecting on their fundraising performance and provides concrete recommendations based on data to improve it;
• Coordinates the production of reports, dashboards and insights from business requirements gathering, design and delivery;
• Maintains and updates existing reports and dashboards;
• Ensures compliance with established internal and external needs and regulations.

Within REM IDC:

• Works closely with IDC Donor Care colleagues to streamline updates to Donor data through data automation, including updates to process documentation;
• Works closely with the REM Data Quality Manager so that DQ reporting is developed and maintained;
• Works closely with the other Data and Analytics Managers to ensure that the standard processes in reporting and operational fundraising are enhanced, documented, and adopted.

With REM PSE markets and PSE Centre of Expertise:

• Makes suggestions on the creation of donor segmentation based on donation patterns, demographics, macro-economic and fundraising trends;
• Suggests and delivers the selection criteria for fundraising campaigns;
• Promotes the use of A/B tests in fundraising campaigns to understand donor preferences and hence increase fundraising levels;
• Creates and delivers the output files for third party (printers, telemarketing agencies) for fundraising campaigns;
• Works closely with the PSE Digital team to design and deliver the donor development programme.

With ICT:

• Contributes to the development of the data model and usage of the referential data that supports analysis;
• Actively seeks new sources of internal and external data and works closely with the ICT team to bring these into the institutional Datawarehouse.

Requirements:

• University degree/similar degree in IT;
• Excellent command of English. Knowledge of French and German is an asset;
• Excellent computer proficiency (MS Office suite or similar);
• Proven understanding of BI tools (Tableau);
• Proficient understanding of SQL syntax and relational databases;
• Programming language (R or python an asset);
• Knowledge of statistics applied to business (A/B tests, experiment design) is an advantage;
• Knowledge of ETL processes is a plus.

Professional Experience Required

• Typically 6 – 9 years’ overall professional experience;
• Confirmed experience in a similar field (4 years), including 2 years in large international organizations;
• Ability to efficiently work on multiple tasks and prioritize among objectives and project results;
• Committed and highly motivated teammate;
• Creative and innovative thinking in developing solutions to complex business problems;
• Ability to challenge the way things are done and look at ways to optimize processes; identifies weaknesses in them and proactively propose corrective action to ensure high levels of operational integrity;
• Attention to detail and accuracy;
• Organized and methodical. Applies and carry outs agreed standards and ways of working;
• Well-developed problem-solving skills;
• Self-motivated and flexible, with the ability to deal with complexity, change and evolving processes, often on short notice;
• Excellent interpersonal and organizational skills;
• Ability to interact positively with data users, managers, and other collaborators.