Senior Data Analysit

hace 5 horas


Colombia i-APS A tiempo completo

Senior Data Analyst - i-APS Colombia Apply by: Jan 15, 2025 Working hours: Full Time (40 hours) Location: Colombia Job Description i-APS Colombia is looking for a Senior Data Analyst to support i-APS in Venezuela, Honduras, Colombia, and the Latin America Region. Full time Based in Bogota, Colombia. The Senior Data Analyst is responsible for carrying out tasks assigned by the Data Analysis Department Manager, Program Technical Manager, or Manager of Operations and works alongside the Global Data Analysis Department team members within i-APS to continuously review, improve, and define improved data collection and analysis processes from the people, system, and processes perspective. Main Areas of Work: Assisting i-APS Colombia and i-APS Latin America Teams in Venezuela, Honduras, and the region, technical experts, and project managers in analyzing results and providing a range of data analysis tasks, including: Supporting the creation of sampling lists for the identification of beneficiaries and sample audience. Designing data collection tools. Conducting data cleaning and validation. Identifying patterns and trends in data sets. Traveling to monitor field data collection. Supporting project team with review of reports, writing the report, gathering additional information, and finalizing the reports (Spanish and English). Performing translation functions as needed. Creating specific data visualization and program management indicators dashboard using Google Data Studio. Providing regular weekly and monthly updates. Working with GIS experts to produce a map of all field data collection. Conducting data flow and people interactive mapping process and documenting data management process, identifying efficiencies, and providing improvements, including design and delivery of training programs. Supporting team with all functions related to data management flow process, training, and reporting. Working with and providing technical support to i-APS technical experts and project managers in designing data. Contributing to the production of data dashboards, high-quality charts, graphs, and maps to present project-specific and organization-wide data in a clear and concise way. Supporting the development and maintenance of i-APS Latin America regional project management and data visualization tools to ensure a smooth and automated flow of information from the field to the program managers to the clients (through the use of scripts). Strengthening Data Protection and Management activities and protocols: Manipulating, analyzing, and interpreting complex data sets in relation to clients’ needs, including data review and quality assurance of the entire i-APS Latin America Data Analysis Department team. Strengthening i-APS Latin America Office practices on data cleaning and analysis: removing data that may distort the analysis or standardizing data into a single format. Using statistical tools to analyze and interpret data through various programming languages. Strengthening i-APS Latin America Office practices on i-APS collective data mining: Introducing best practices to structure the raw data and formulate or recognize the various patterns in the data through mathematical formulas. Pinpointing trends and patterns: finding trends, correlations, and patterns in complicated datasets. Supporting development of i-APS Latin America Office and country-specific data protection, safety, and management policies, practices, and training. Maintaining databases and data systems: ensuring that the storage, availability, and coherence of electronically stored data meet our organization’s needs. Qualifications: Bachelor's degree in statistics, economics, engineering, or related fields. English and Spanish proficiency required. Strong organization and time management skills. Ability to plan and prioritize competing tasks. 5 years of proven experience in similar roles. Interested and qualified candidates should send their CV and Application Letter to: Qualified female candidates are strongly encouraged to apply. #J-18808-Ljbffr


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