• Design, maintain, and automate key company dashboards, ensuring they provide actionable insights for the CEO and executive team. • Use AI tools and scripting (Python/SQL) to automate data delivery, reducing manual intervention to the bare minimum. • Conduct thorough research to identify trends, anomalies, and opportunities. • Maintain and evolve our analytical layer (Snowflake/BigQuery), ensuring data is consistent, scalable, and optimized for both human and AI-tooling consumption. • Partner with the Data Engineering team to improve pipelines and documentation. • Support data quality and normalization initiatives.

Role Description The mission of OIGI is to conduct independent investigations into allegations of misconduct involving WFP staff, partners, and other contracted entities or persons. To understand case trends and patterns and to report to stakeholders on statistics, OIGI collects, extracts, and analyzes data from its case management system. The successful candidate will ensure that the data in OIGI’s case management system is complete and accurate, correcting errors as identified and adding missing information as appropriate. The position is home-based and limited to a 90-day engagement. The candidate will report to the Director, Office of Inspections and Investigations (OIGI) or their designate. Accountabilities/Responsibilities - Review case data in the OIGI case management system to identify incomplete fields or inaccurate information. - Obtain accurate case information from the case folder, through review of correspondence and WFP systems, and by liaising with others. - Add information to the case management system in line with applicable naming conventions and other guidance. - Other responsibilities, as assigned. Deliverables at the End of the Contract - Successful completion of tasks listed under above TORs, as assigned. Qualifications - A university degree in data management, finance, statistics, or any other field or relevant work experience. - Previous exposure to investigations, case management systems, and data review or cleaning. - Previous experience working with the United Nations system or other international organizations is desirable. Knowledge & Skills - Analytical Insight: Leveraging analytical tools and methodologies to uncover insights and support decision-making. - Resourcefulness, initiative, maturity, and the ability to work independently. - Strategic Planning: Devising comprehensive plans for effective data management. - Communication and cultural sensitivity: Coordinating effectively with colleagues. 4Ps Core Organisational Capabilities - Purpose - Understand and communicate the Strategic Objectives: Understands WFP's Strategic Objectives and the link to own work objectives. - Be a force for positive change: Flexibly adapts individual contributions to accommodate changes in direction from supervisors and internal/external changes. - Make the mission inspiring to our team: Recognizes and shares with team members the ways in which individual contributions relate to WFP's mission. - Make our mission visible in everyday actions: Sets own goals in alignment with WFP's overall operations, and is able to communicate this link to others. - People - Look for ways to strengthen people's skills: Assesses own strengths and weaknesses to increase self-awareness. - Create an inclusive culture: Participates in open dialogue, and values the diverse opinion of others. - Be a coach & provide constructive feedback: Proactively seeks feedback and coaching to build confidence. - Create an "I will"/"We will" spirit: Participates in accomplishing team activities and goals in the face of challenging circumstances. - Performance - Encourage innovation & creative solutions: Shows willingness to explore and experiment with new ideas and approaches in own work. - Focus on getting results: Consistently delivers results within individual scope of work on time, on budget, and without errors. - Make commitments and make good on commitments: Commits to upholding individual accountabilities and responsibilities. - Be Decisive: Makes rational decisions about individual activities when faced with uncertain circumstances. - Partnership - Connect and share across WFP units: Seeks to understand and adapt to internal or cross-unit teams' priorities. - Build strong external partnerships: Demonstrates ability to understand and appropriately respond to needs of external partners. - Be politically agile & adaptable: Portrays an informed and professional demeanor toward internal and external partners. - Be clear about the value WFP brings to partnerships: Provides operational support on analyses and assessments. Languages - Written and oral proficiency in English is a must for this position. - Fluency in French, Arabic, Spanish, Russian, or Portuguese is an advantage.

At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities. The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled. The Data Analyst role will support ACS’s constituent data strategy by developing measurement frameworks, analyzing data sets, and generating insights. This role contributes analytical support to enterprise initiatives such as the Constituent Data Strategy, helping ensure digital product insights, constituent behavior patterns, and experience data are aligned with ACS’s broader goals of improving data quality, establishing data confidence, and activating trusted constituent data across the organization. ***Please note, this is a temporary part-time opportunity with approximately 15-20 hours per week. This is a fully remote role and can be home-cased anywhere within the United States. *** MAJOR RESPONSIBILITIES Responsibilities will include the following: - Work with Digital Product & Experience leadership team to analyze constituent data patterns, insights and opportunities. - Support data quality validation through analysis such as constituent duplication issues, inconsistent identifiers, and driving sources of duplication - flagging gaps in attribution, linkage, or engagement capture that impact downstream systems. - Support refinement of predictive long‑term value (LTV) models, incorporating digital behavior and experience signals. - Contribute to models that help identify constituents most likely to rise into higher‑value engagement segments or giving tiers. - Support parallel analyses for additional segments (e.g., Non‑Individual/Organization constituents) as ACS moves toward a fully unified constituent model. - Conduct project, technical, and industry related research and landscaping as requested - Write internal and external memos, summaries and reporting including visual depictions of data; assist in the preparation and delivery of presentations relating to impact data and other initiatives KNOWLEDGE/SKILLS FORMAL KNOWLEDGE: - Currently enrolled in a Bachelor’s degree or equivalent program with preference for focus or concentration in data, analytics, statistics, accounting, finance or business; - Experience with data, analytics, impact, sustainability, venture capital, or some combination of such preferred. COMPETENCIES/SKILLS: - Advanced knowledge of Microsoft windows and suite of products (Word, Excel, PowerPoint, Teams, Outlook); familiar with digital systems and processes; able to learn and master new digital and technology solutions and tools - Knowledge of programming, machine learning, data analysis, data visualization and modeling preferable - Knowledge of business intelligence and data visualization software (such at Tableau) viewed favorably - Knowledge of sustainability, ESG, and/or impact viewed favorably - Attention to detail and willing to take on new opportunities and challenges while working to develop optimized work processes - Strong oral and written communication skills—reports and summaries; creating presentations - Analytical/evaluative thinker with strong attention to detail The starting rate is $30 per hour. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education. ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.

• Responsible for working cross-functionally to collect data and develop models to determine trends • Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools • Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations