Data Analyst at Petco utilizing advanced analytical techniques to optimize customer behavior insights. Collaborating with teams to influence decisions, enhance retention, and improve performance.
About the role
- Climate Data Analyst integrating climate forecasts into IRC's crisis analysis supporting humanitarian efforts. Collaborating with diverse stakeholders to produce timely reports and insights.
Responsibilities
- Conduct and automate regular climate analysis, including historical and forecast data (rainfall, drought, floods, heatwaves, cyclones, water scarcity) in IRC countries
- Review and interpret monthly forecasts from sources like Columbia IRI and CHIRPS
- Develop systems for automated short- and long-term hazard forecasting and reporting
- Collaborate with other teams to build data products integrating climate analysis
- Liaise with Country Programs, Regions and Technical Advisors to interpret forecasts and guide anticipatory action
- Host regular calls with key stakeholders to discuss impacts of forecasted hazards
- Issue rapid alerts for impending climate events and support preparedness planning
- Produce monthly global climate briefs summarizing forecasts, risks, and recommended actions
- Contribute climate analysis to IRC’s Emergency Watchlist and other risk-tracking analysis
- Collaborate across technical units to link climate hazards to sectoral impacts
- Build IRC’s expertise on climate risk management through internal capacity development
Requirements
- Experience and familiarity with climate forecasting tools (e.g. IRI)
- Skills in geospatial & remote sensing (e.g., GIS tools, analysis, ArcGIS, QGIS, Carto)
- Experience with Google Earth Engine for Surface water mapping, precipitation time series analysis (CHIRPS), flood mapping using SAR imagery, and drought mapping using MODIS NDVI
- Strong data analysis skills
- Demonstrated experience in managing multiple stakeholders and partnerships with external organizations
- Capacity to communicate and collaborate effectively in multicultural teams
- Excellent critical thinking and problem-solving abilities
- Excellent organizational skills
- Excellent interpersonal and communication skills
- Excellent digital literacy: MS Word, Excel
- Excellent written English, including the ability to synthesize information and draft high-quality reports.
Benefits
- Work that has meaning
- Global scale, dynamic workplace
- Challenging work, innovative solutions
- Community centered
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
SVP role leading Data Analytics and Customer Experience at U.S. Bank. Driving insights and analytics for Wealth, Commercial, and Institutional Banking initiatives.
Manage a team of data analysts and develop complex reports for a leading risk and claims administrator. Overseeing data analysis education and providing client - specific technical support.
People Analytics Specialist supporting HR leadership with data - driven insights. Develop models for analyzing business performance metrics to drive strategic decisions.
Data Analyst supporting ENERGY STAR Certification and energy performance benchmarking. Managing energy models and educating Property Teams for sustainability efforts at Cushman & Wakefield.
Consultant developing innovative SAP solutions for energy customers. Engaging in project tasks and enhancing development processes with modern technologies.
Business Data Analyst translating business goals into actionable insights for GoEngineer. Collaborating across the organization to develop analytics solutions and advance maturity toward prescriptive decision - making.
Business Data Analyst leveraging data governance and analytics to drive decision - making at GoEngineer. Collaborating with leadership and developing solutions using NetSuite, Azure SQL, and Power BI.
Data Analyst turning data into insights for clients at Shalion. Engaging in product decisions through actionable data and insights.
Technical Data Analyst supporting Avalon Healthcare's Health Analytics team. Managing core data functions and delivering insights for business decision - making and strategies.