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Data Quality Assurance (DA) Venn Officer The role involves overseeing and maintaining high standards of data accuracy, integrity, and consistency within the organization. Responsibilities include validating data inputs, identifying discrepancies, and implementing corrective measures to ensure compliance with established quality benchmarks. The position demands meticulous attention to detail, proficiency in analytical tools, and a strong understanding of data governance frameworks. Collaboration with cross-functional teams is essential to address data-related challenges and align processes with business objectives. Candidates should possess relevant experience in data validation, quality control methodologies, and a commitment to continuous improvement in data management practices. Raising The Village is seeking a highly motivated and experienced professional to join our team. The ideal candidate will possess a proven track record in sustainable development, community empowerment, and impact measurement, with a minimum of five years of relevant experience. Responsibilities include designing and implementing innovative programs, fostering partnerships with local stakeholders, and leading initiatives to improve livelihoods in underserved communities across Africa. The role demands strong analytical skills, cross-cultural communication proficiency, and a deep commitment to social impact. Fluency in English is essential, while additional language skills are highly desirable. Mbarara With a strong commitment to social impact, this organization seeks a dedicated professional to drive its mission forward. The ideal candidate will possess a proven track record in nonprofit operations, program development, or advocacy, with a deep understanding of the challenges faced by underserved communities. Key responsibilities include designing strategic initiatives, managing donor relationships, and ensuring compliance with regulatory standards. Fluency in English and another language is preferred, along with at least three years of relevant experience in a leadership role. The role demands exceptional organizational skills, cultural sensitivity, and a passion for advancing equity and inclusion in global development. Computer & IT, Business Operations, Science & Engineering, and Social Services & Nonprofit We are seeking a candidate for the VENN department to report to the Senior Officer of Data Quality Assurance, requiring a minimum of three years of relevant experience. The position is based in Barbara, with an expected travel requirement of 20%. At Raising The Village, our mission is to eliminate ultra-poverty across Sub-Saharan Africa. As a fast-paced, rapidly expanding international development organization, we have built a diverse team of 350+ dedicated professionals in Uganda, Rwanda, Tanzania, and the DRC, complemented by a team of 10+ experts based in North America. Through collaborative efforts, we strive to uplift communities from ultra-poverty by deploying innovative strategies and harnessing cutting-edge data analytics to maximize our impact. Our organization has transformed over 1,000,000 lives since 2012 through an integrated, community-driven approach, with ambitious plans to support an additional 1 million individuals each year by 2027. This expansion is driven by strategic partnerships with like-minded global organizations committed to sustainable progress. Explore our transformative initiatives and measurable outcomes at www.raisingthevillage.org. The Data Quality Assurance (DA) Officer ensures the accuracy, consistency, and trustworthiness of Raising The Village’s (RTV) core data throughout its lifecycle—from survey design and field preparation to data collection, monitoring, validation, and reporting. This position oversees operational data quality assurance for all RTV field-based evaluation surveys, encompassing baseline, midline, Edline, routine monitoring, and special studies across all operational countries. A highly analytical and proactive role, it involves rigorous examination of incoming datasets, development of automated quality assurance protocols, assessment of enumerator performance using survey metadata, thorough root-cause analyses of data anomalies, and prompt conversion of findings into corrective measures that enhance field execution and data integrity. Oversee and execute a comprehensive range of duties encompassing strategic planning, operational management, and cross-functional collaboration to drive organizational success. Lead and mentor teams to achieve performance targets while ensuring adherence to established policies, procedures, and industry standards. Analyze complex business challenges, propose data-driven solutions, and implement initiatives to enhance efficiency, productivity, and profitability. Serve as a key liaison between departments, fostering alignment and communication to optimize workflows and achieve collective goals. Monitor key performance indicators, evaluate outcomes, and provide actionable insights to senior leadership to support informed decision-making. Maintain a strong focus on continuous improvement, innovation, and compliance with regulatory and ethical guidelines. We are seeking a dedicated professional to oversee the establishment and maintenance of robust data quality governance frameworks. This role involves developing comprehensive policies and procedures to ensure accuracy, consistency, and reliability of organizational data. Key responsibilities include monitoring data integrity, implementing standardized validation processes, and addressing data quality issues proactively. The ideal candidate will possess strong analytical skills, proficiency in data governance tools, and experience in regulatory compliance. Collaboration with cross-functional teams will be essential to align data standards with business objectives and drive continuous improvement in data management practices.
Perform routine evaluations of data integrity to detect duplicates, outliers, missing entries, logical discrepancies, unusually brief interviews, GPS irregularities, and other potential quality concerns, while providing timely feedback to field teams. Monitor Data Quality Assurance KPIs at the end of every data collection initiative, identifying risks, trends, and actionable recommendations to ensure accuracy and reliability. Timely communication of critical data quality risks, integrity concerns, or survey implementation challenges to the Senior Officer Data Quality is required. Responsibilities include conducting on-site monitoring, verification, and audits in the field to ensure compliance with established standards and procedures. This role requires meticulous attention to detail, adherence to regulatory requirements, and the ability to document findings accurately. The position may involve travel to various locations, interacting with stakeholders, and assessing operational effectiveness. Strong analytical skills and familiarity with audit protocols are essential. Oversee the complete audio audit workflow, meticulously examining recordings, evaluating enumerator compliance with survey guidelines, compiling documented observations, and proposing remedial measures. Coordinate and manage field verification processes, such as back-checks and spot checks, by selecting appropriate verification samples, administering review tools, aligning findings with original submissions, and escalating any discrepancies accordingly. Design and oversee real-time field monitoring dashboards to oversee survey advancement, measure enumerator output, and evaluate critical data quality metrics—such as accuracy, completeness, consistency, validity, and timeliness—to ensure robust data integrity and operational efficiency. We generate periodic performance analyses for enumerators and teams to facilitate targeted coaching and immediate or near-immediate performance enhancements. Data Automation, Analytics, and Root-Cause Analysis involve designing, implementing, and optimizing automated data processes to enhance efficiency and reliability. This includes developing and maintaining pipelines to extract, transform, and load data, as well as utilizing advanced analytics tools and techniques to derive actionable insights from large datasets. Additionally, the role requires performing in-depth root-cause analysis to identify underlying issues, trends, or anomalies, enabling data-driven decision-making and continuous process improvement. Design, implement, automate, and oversee data quality pipelines utilizing R, Python, or comparable analytical tools to systematically validate incoming survey data and produce monitoring outputs. Analyze survey metadata—such as interview duration, navigation patterns, GPS records, audit findings, and verification results—to assess data quality risks and investigate their root causes. Conduct comprehensive root-cause analyses to identify whether issues stem from tool design flaws, process inefficiencies, enumerator performance gaps, or broader operational systemic challenges, then propose actionable corrective measures. Maintain the Data Quality Risk Register for the organization by recording recurring issues, tracking mitigation actions, and capturing lessons learned to enhance future survey processes. Develop, maintain, and enhance organizational standards, documentation systems, and capacity-building initiatives to ensure operational excellence, compliance, and continuous improvement across all levels of the team. Position Overview: We are seeking a highly motivated professional to join our team with a strong academic background in education or a related field. Ideal candidates will hold a relevant degree and possess current certifications, such as a teaching license or specialized credentials, where applicable. The role requires a commitment to fostering student development through innovative teaching methods, curriculum design, and collaborative classroom management. Responsibilities include assessing student progress, adapting instruction to diverse learning needs, and maintaining a supportive and inclusive learning environment. Excellent communication skills, adaptability, and a passion for education are essential to thrive in this position. A bachelor’s degree in Statistics, Data Science, Economics, Computer Science, Information Management, or a related quantitative field is required. Seeking a candidate with a proven track record of hands-on experience in a relevant field, demonstrating expertise through practical application. The ideal applicant will possess a minimum of [X] years of professional experience, with a strong emphasis on [specific skills or areas of knowledge]. Responsibilities will include leveraging this experience to [key task or responsibility], while adhering to industry best practices and organizational standards. Proficiency in [specific tools, methodologies, or systems] is essential, along with the ability to apply experience-driven insights to drive [specific outcomes or improvements]. The role demands adaptability, problem-solving skills, and a commitment to continuous learning to stay current with evolving industry trends. With a minimum of three years of hands-on professional experience in Data Quality Assurance and Data Management, preferably within large-scale primary data collection initiatives.
Proven track record in facilitating household surveys or other extensive field-based data collection initiatives within the development sector. Seasoned professionals with a track record of establishing and executing data quality assurance frameworks throughout every phase of the survey lifecycle will find this opportunity compelling. Technical Competencies: Demonstrates proficiency in utilizing specialized tools, systems, and methodologies essential to the role. Applies technical knowledge to analyze complex problems and develop innovative solutions. Maintains up-to-date expertise in industry standards, emerging technologies, and best practices. Collaborates effectively with cross-functional teams to integrate technical solutions seamlessly. Ensures adherence to technical protocols, security measures, and compliance requirements. Optimizes system performance through continuous monitoring and troubleshooting. Facilitates knowledge sharing and mentors colleagues to enhance overall team technical capabilities.
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