<PURPOSE OF THE POSITION>

The primary purpose of the Data Strategy Manager is to ensure that the fundraising investments are effectively allocated and translate into high-quality income through a diversified market mix, including sources of substantial income and volume.

This function generates and analyzes quantitative and qualitative, internal and external data relevant to fundraising, and transforms them into strategic information to support decision-making, data driven actions, tactics, and strategies aiming to constantly maximize MSF Korea’s private fundraising results and identify new opportunities as well as challenges. His/her critical thinking should challenge the directions and performances of the different fundraising campaigns; and encourage each fundraising pillar to make data driven decisions.

1. Develops and presents actionable insights, strategic recommendations and business intelligence from analytical output to support strategic decisions on investments and estimate revenue projections
2. Is responsible for building and continuously developing a reporting system (reports, budget, dashboards and KPIs) for the fundraising department, to track results and allow team members to access and visualize the data
3. Develops strategic analysis of developments of different donor portfolios and provides data-driven recommendations on the donor experience/journey
4. Supports, supervises and appraises all aspects of the performance of staff under his/her supervision

<MAIN DUTIES AND RESPONSIBILITIES>

1. Strategic Planning
2. In collaboration with the Fundraising Director and Fundraising Managers, develops actionable recommendations and business intelligence from analytical output to support strategic decisions on investments and the plan of actions
3. Develops a comprehensive annual budget system and planning (including the provision of the calculation bases) and 4-year fundraising projections (RSA)
4. Provides strategic advice to the fundraising team in the analysis/interpretation of metrics and special evaluations of the decision-making process and translates these to actionable advice backed up by data-driven measures
5. Pro-actively signals, advises, inspires and steers on donor insights the Fundraising Director and Managers based on the data analytics
6. Works with BI vendors for benchmark studies and participates in the strategic evaluation, post-processing and action plans derived from benchmark results

2. Reporting & Analysis
3. Is responsible for building and continuously developing a reporting system (reports and dashboards) for the Fundraising department as well as for the general direction
4. Makes strategic and deep analysis with a marketing and business vision by identifying possible flaws or trends
5. Works with the Fundraising Director and Managers to forecast the annual and monthly revenue based on historical data and action plans
6. Makes targeted and actual reconciliation of revenue and expenditure
7. Identifies causes for deviations and advises on the need for action
8. Illustrates data graphically and translates complex findings into written text, reports and presentations
9. Analyzes MSFK data and benchmark against the market and/or other MSF offices
10. Identifies opportunities for improvement of the MSF database to improve the quality of reports and analyses

3. Donor behavior
4. Develops and creates the donor profile analysis with the Fundraising Managers
5. Provides data-driven recommendations on the donor journey through analysis of revenue generating and retention activities
6. Creates a statistical model that forecasts discontinuation rates and trends and shares results with the Fundraising Managers
7. Proposes a customized and automated retention journey in line with donors’ interests and behavior to deepen our donors’ engagement
8. Identifies active mid-level donors for an upgrade through active data mining, rating and ranking
9. Supports Fundraising Managers to identify and qualify new prospects by research and analysis based on DB

4. Data processes and systems
5. Develops the BI structure of MSF Korea fundraising (including the definition of calculated fields required to ensure the correct link between the data warehouse and CRM)
6. Identifies opportunities to optimize data processing, automation and interpretation.
7.  Conducts modeling with high accuracy and applicability to answer key business needs
8.  Improves data segmentation and uses segments to maximize results
9. Develops strategic segmentation proposals and continuous optimization based on the analyzes
10. Leads and manages the end-to-end DB process related to campaigns according to the different needs per target segment: creation of the segments according to ad-hoc criteria, creation of statistically significant test groups, allocation of the various packages, generation of address files, tests
11. Leads and manages the end-to-end process for the rental of prospects lists for acquisition mailings: briefing of the consultant mandated for the purchase, selection and management of the supplier in charge of the data deduplication and supervision of the whole process
12. Optimizes data processes (incl. campaign management and marketing automation)
13.  Collects, records and disseminates information relevant to MSF fundraising business
14. Identifies opportunities for improvement of the MSF database to improve the quality of reports and analyses
15. Be responsible for ensuring the accuracy of data and reports to meet high quality standards
16. Ensures that data stored in the systems are well protected, data privacy policy is being followed and improved security mechanism

5. People management  
6. Sets individual performance objectives, does performance appraisals, and ensures that staff is accountable to MSFK internal policy
7. Interviews, hires, trains and coaches new employees under his/her supervision
8. Monitors if his/her performance is stable and find possible solutions when there is a problem
9. Ensures personal and professional development by proposing training when necessary
10. Provides mentorship to the team
11. Supervises and monitors the full completion of duties and determines priorities

6. Other
7. Proposes, manages and supports any BI related projects
8. Manages the demands in an appropriate manner, prioritizing properly and respecting the deadlines
9. Actively participates in the international data analysis working group

<QUALIFICATIONS AND JOB REQUIREMENTS>

Essential skills and experience

• A college or university degree in Statistics, Mathematics, Economics or related fields
• Minimum 5 years of relevant work experience in fundraising data analysis or business data analysis

Experience

• Demonstrated proficiency with entire BI and stats tools and systems
• Demonstrated proficiency with data modelling and segmentation
• Demonstrated proficiency with reports and dashboards development
• Must possess knowledge of direct marking and statistical principals as well as data management

Skills and competences

• Commitment to the values, principles and MSF’s social mission
• Advanced knowledge of database uploads and extractions, data manipulation, data modelling, segmentation and Business Intelligence tools (i.e. SQL, Excel Query, Tableau, Google Analytics and Microsoft Analysis Services)
• Advanced level in Microsoft Office applications.
• Strong data-processing and information management skills
• Heavy analytics, information system and data science skills
• Highly organized with strong project management skills
• Critical thinker, confident to transform data and information into structured systems and reports
• Creative problem solver, with meticulous attention to detail
• Good interpersonal skills, capacity to work both independently and with a dynamic team
• Fluent in Korean and English

Desirable skills and experience

• Experience in NPO
• Experience in managing people

If you are interested in this position, please send your motivation letter and CV in English to HR Department at:  recruit@seoul.msf.org 
Application Deadline: This position will be closed when the candidate is finalized. Please submit your application at your earliest convenience. 
We will contact the selected candidate within 2 weeks after the submission date.