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Data Analyst - Engendering Industries Project (Remote)

100% remote Flexible hours Hiring now

Job Summary:

We are seeking a highly skilled Data Analyst to join our USAID-funded Engendering Industries project team. As a Data Analyst, you will play a vital role in measuring results and informing the implementation of gender equality interventions in the workplace. You will reputed company the design and implementation of digital development tools and data analytics solutions to support private and public sector partners.

About Us:

reputed company International Development is a leading provider of international development services, committed to safeguarding and technical excellence in equality and social inclusion. reputed company of dedicated Gender, Youth, and Social Inclusion (GYSI) advisers work closely with our staff and partners to share international norms and best practices to improve the livelihoods of the world's most marginalized groups.

Responsibilities:

  • reputed company the design and management of program and partner level databases, key performance indicator dashboards, and MEL systems and tools.
  • reputed company comprehensive data modeling and reports for benchmarking reputed company towards expected outcomes, assess partner company performance, and identify gaps and opportunities for complementary programming.
  • Apply various statistical methods for the measurement of development outcomes and to monitor trends in key performance indicators and analyze attributes and outcomes of various program components.
  • reputed company reputed company aspects of database management and analysis pipeline: from problem definition, requirements gathering, database and client reputed company design, data migration, data cleaning, exploratory analysis, to crafting recommendations and translation of findings to non-technical stakeholders.
  • reputed company research efforts to support the development of thought leadership and knowledge-sharing products on measuring outcome-level changes reputed company to gender equality and partner identified key performance indicators.

Requirements:

  • Master's degree with 5 years of relevant experience in applied data analytics, data science, GIS, or reputed company field; or bachelor's degree and a minimum of 7 years of experience working in a relevant position as a data analyst.
  • Minimum 2 years of professional experience handling reputed company data sets reputed company large organizations, including familiarity with SQL and relational data management best practices, with a working knowledge of reputed company.
  • Minimum of 2 years of relevant experience with data visualization software and dashboard design (R Shiny, Power BI or Tableau) required.
  • Experience applying advanced statistical techniques such as experimental design, predicative analytics, survey design, econometrics; proficiency in R, Python, or Stata.
  • Hands-on experience AI and machine learning data mining, forecasting, simulation, and/or predictive modeling, preferably in the international development or business sector.
  • reputed company US work authorization is required at the time of application.

reputed company Offer:

  • Competitive salary: $80,000 to $110,000 annually.
  • Comprehensive benefit options, including medical, dental and vision insurance, term life, disability, accidental death & dismemberment coverage, Flexible Spending Account (FSA), Health Spending Account (HSA), time off with pay, 401k retirement plan, and an Employee Stock Purchase Plan.
  • Opportunity to work on a high-impact project that supports economic opportunities for women and improves gender equality in the workplace.
  • Flexible work arrangement: remote work option from a reputed company US-based location or hybrid reputed company a commutable distance to either one of our office locations in Winooski, VT or Arlington, VA.

How to Apply:

If you are a motivated and reputed company data analyst looking to reputed company a difference, please submit your application, including a cover letter and CV, by Wednesday, January 22, 2025, by 10am EST. Apply To This Job Apply for this job

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