World Vision
World Vision
World Vision एक वैश्विक मानवीय संगठन है, जो गरीबी और अन्याय से निपटने के लिए बच्चों, परिवारों, समुदायों और स्थानीय साझेदारों के साथ काम करता है। इसका कार्य सतत विकास, आपदा राहत, वकालत और समुदाय-नेतृत्व वाले कार्यक्रमों तक फैला है, जिनका उद्देश्य कमजोर आबादी को सशक्त बनाना और स्थायी सामाजिक परिवर्तन को बढ़ावा देना है। World Vision में करियर मानवीय प्रतिक्रिया, विकास तथा विभिन्न समुदायों और साझेदार नेटवर्कों के बीच सहयोग से जुड़े कार्यों के माध्यम से इस अंतरराष्ट्रीय मिशन में योगदान करने का अवसर प्रदान करता है।

Data Analyst and Modeler

Build Power BI and DAX data models for VisionFund’s inclusive financial services. Support financial reporting, data governance, and evidence-based work to improve outcomes for children.

विवरण

  • Create, deploy, optimize, and maintain data models.
  • Translate customer needs into data models and reports.
  • Manage data extraction and sources used in models, reports, and analyses.
  • Work with data owners and stakeholders to protect data integrity and address quality issues.
  • Maintain VFI Power BI models for financial reporting, analysis, and other assigned departments.
  • Help users work with existing data models.
  • Document data models and their fields.
  • Design and implement data governance practices.
  • Coordinate with GTD and other departments to refresh, maintain, and validate data models.
  • Attend assigned meetings, team events, conferences, chapel services, and devotions.
  • Uphold World Vision values and encourage accountability.

आवश्यकताएँ

  • Bring at least four years of experience in data analysis or a related field.
  • Have experience working for an international nonprofit organization or multinational corporation.
  • Bring at least one year of experience with business intelligence tools or financial software, such as SunSystems, data warehouses, dashboards, and reporting tools.
  • Have at least two years of Power BI data modeling experience, including writing complex DAX code for data manipulation.
  • Hold a bachelor’s or university degree in finance, computer science, or a related field.
  • Apply structured problem-solving skills to complex analyses and produce meaningful, actionable insights.
  • Understand multiple data sources and how they relate to one another.
  • Have strong Microsoft Office skills.
  • Communicate clearly in writing and verbally, with accuracy and close attention to detail.
  • Explain technical information to nontechnical audiences.
  • Demonstrate strong organization, prioritization, and self-motivation.
  • Be a local applicant.

लाभ

  • Hybrid work may be available to GCMO employees, subject to GCMO and/or GFSC hybrid policies and procedures.
  • Travel may be required up to 5% of the time.

संबंधित नौकरियाँ

Thermo Fisher Scientific

Workforce Analytics Specialist I – Hybrid Night Shift

Thermo Fisher Scientific

Analyze contact center performance and prepare reports for Thermo Fisher Scientific’s medical communications team. Support real-time workforce scheduling during night-shift operations in a hybrid setting.

खोलें
Human8

Advanced Analytics Specialist

Human8
501 – 1,000 कर्मचारी
B2Bपरामर्श

Apply statistical modelling and marketing science to solve client challenges at Human8. Build validated models, simulators and insights using Sawtooth, R, SPSS, Python and Excel.

खोलें
DysrupIT

Data Analyst

DysrupIT

Guide data management, quality, modelling and integration initiatives for DysrupIT’s technology consulting clients. Help teams build reusable data products and strengthen data governance.

खोलें
TaskUs

Data Visualization Analyst, Power BI – TaskUs, Pasig Hybrid

TaskUs

Build Power BI dashboards and reports for TaskUs, turning complex data into clear insights. Partner with internal and external stakeholders across the business.

खोलें
Manulife

Senior Data Analyst, Power BI & Power Apps (Hybrid)

Manulife

Build Power Apps, dashboards, and business intelligence solutions for Manulife’s international financial services operations. Connect Microsoft platforms and convert business data into actionable insights.

खोलें