Data Quality Assurance Specialist

Data Quality Assurance (DA) Venn Officer Responsible for ensuring data integrity, accuracy, and consistency within the Venn system, this role involves conducting rigorous quality checks, identifying discrepancies, and implementing corrective measures to maintain high standards. The officer will collaborate with cross-functional teams to validate data inputs, streamline processes, and enforce compliance with established protocols. Proficiency in data analysis tools, attention to detail, and strong problem-solving skills are essential. Additionally, the position requires familiarity with data governance frameworks and the ability to document findings while recommending improvements to enhance overall data reliability. Raising The Village seeks a dedicated and experienced fundraising professional to join our team. The ideal candidate will possess a proven track record of securing major gifts and cultivating donor relationships, with a minimum of five years in nonprofit fundraising. Responsibilities include designing and implementing strategic fundraising campaigns, managing a portfolio of high-value donors, and collaborating with cross-functional teams to advance organizational goals. The role demands strong interpersonal skills, exceptional written and verbal communication abilities, and a deep commitment to social impact. Proficiency in donor management systems and a bachelor’s degree in a relevant field are required. Mbarara We are seeking a highly motivated individual to join our dynamic nonprofit organization as a [Job Title]. In this role, you will be responsible for developing and implementing strategic initiatives aimed at advancing our mission of [specific mission, e.g., “promoting education and literacy in underserved communities”]. The ideal candidate will possess a minimum of [X years] of experience in [relevant field], along with a proven track record of success in [specific skills, e.g., program management, grant writing, or community outreach]. Strong interpersonal and communication skills are essential, as the position requires collaboration with stakeholders, donors, and team members to achieve organizational goals. Additionally, proficiency in [specific software, e.g., Microsoft Office, Salesforce, or grant management systems] is required. This position offers a unique opportunity to make a meaningful impact while working in a collaborative and mission-driven environment. Computer & Information Technology, Business Operations, Science & Engineering, and Social Services & Nonprofit sectors are actively seeking professionals with diverse expertise to drive innovation, efficiency, and impact. These fields demand individuals capable of leveraging technical acumen, analytical thinking, and strategic problem-solving to address complex challenges. Candidates should possess strong communication skills, adaptability, and a commitment to continuous learning to thrive in dynamic environments. Responsibilities may include designing scalable IT solutions, optimizing operational workflows, conducting research and development, or advancing social initiatives through community engagement. A relevant degree or certification, along with hands-on experience, is typically required to excel in these roles. The successful candidate will be part of the VENN department, reporting directly to the Senior Officer of Data Quality Assurance. A minimum of three years of relevant professional experience is required, along with a willingness to travel up to 20% of the time, primarily to Barbara. At Raising The Village (RTV), our mission centers on eliminating ultra-poverty throughout Sub-Saharan Africa. As a fast-growing, high-impact international development organization, we employ a team of more than 350 committed professionals across Uganda, Rwanda, Tanzania, and the DRC, complemented by a dedicated group of over 10 specialists based in North America. Through collaborative effort, we strive to uplift communities from the depths of ultra-poverty by deploying cutting-edge solutions and harnessing robust data analytics to maximize our impact. To date, since 2012, our comprehensive strategy has transformed the lives of over 1,000,000 individuals, and we remain dedicated to surpassing even greater achievements. By 2027, our goal is to provide support to 1 million people each year. Our progress and accomplishments are driven by the essential contributions of global partners who align with our mission of fostering sustainable transformation. Explore the details of our impactful initiatives at www.raisingthevillage.org. The Data Quality Assurance (DA) Officer plays a pivotal role in ensuring the accuracy, consistency, and trustworthiness of Raising The Village’s (RTV) core data throughout its entire lifecycle—from survey design and field preparation through 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. Highly analytical and action-oriented, the role demands rigorous examination of incoming datasets, the establishment of automated quality assurance mechanisms, evaluation of enumerator performance via survey metadata, in-depth root-cause analysis of data anomalies, and the swift conversion of findings into corrective measures that enhance field operations and data integrity. Oversee a diverse range of critical functions, including managing daily operations to ensure efficiency and alignment with strategic goals. Develop and implement policies and procedures that enhance productivity, compliance, and organizational integrity. Collaborate with cross-functional teams to drive project execution, resolve operational challenges, and foster a culture of innovation and accountability. Monitor performance metrics to identify trends, mitigate risks, and optimize resource allocation for sustained growth. Lead initiatives that support talent development, employee engagement, and workplace culture, ensuring a high-performing and cohesive team. Serve as a key liaison between senior leadership and teams to facilitate transparent communication and alignment on business objectives. The oversight and management of data quality standards, policies, and procedures are essential to ensure accuracy, consistency, and reliability across all data assets within the organization. This role requires establishing frameworks to monitor data integrity, defining clear guidelines for data handling, and implementing corrective measures to address discrepancies. Collaboration with cross-functional teams is necessary to align data governance initiatives with business objectives and regulatory compliance requirements. Additionally, the position involves conducting regular audits, assessing data quality metrics, and reporting findings to stakeholders to drive continuous improvement in data management practices. Develop and enhance RTV’s Data Quality Assurance (DA) Frameworks to ensure robust implementation across all survey-related operations. Perform daily evaluations of data quality to detect duplicates, outliers, missing entries, logical discrepancies, unusually brief interviews, GPS irregularities, and other potential issues, promptly providing feedback to field teams to facilitate corrective action. Monitor and provide reports on Data Quality Assurance KPIs following each data collection exercise, identifying potential risks, emerging patterns, and actionable recommendations.

Promptly notify the Senior Officer Data Quality of any substantial data quality risks, integrity issues, or survey implementation challenges to ensure timely resolution. Field monitoring, verification, and audits involve on-site assessment, validation of data, and compliance checks to ensure operational integrity and adherence to established protocols. This role requires meticulous attention to detail, adherence to regulatory standards, and the ability to systematically evaluate processes, documentation, and performance metrics. Responsibilities include conducting thorough inspections, identifying discrepancies, and reporting findings to stakeholders to support continuous improvement and risk mitigation efforts. Oversee the complete audio audit workflow by verifying the thorough examination of recordings, evaluating enumerator compliance with survey protocols, recording detailed observations, and proposing corrective measures. Responsibilities include organizing and supervising field verification processes such as back-checks and spot checks by selecting appropriate verification samples, administering review tools, aligning findings with original submissions, and addressing any discrepancies through escalation. Develop and sustain real-time field monitoring dashboards to oversee survey progress, measure enumerator efficiency, and evaluate critical data quality metrics—such as accuracy, completeness, consistency, validity, and timeliness. Generate regular performance analyses for enumerators and teams to facilitate targeted coaching and enable real- or near real-time performance enhancement. Data Automation, Analytics, and Root-Cause Analysis involve leveraging advanced tools and methodologies to streamline data processes, extract actionable insights, and identify underlying causes of inefficiencies or issues. This role requires expertise in designing and implementing automated data workflows, conducting thorough analytical assessments, and performing systematic root-cause analyses to enhance decision-making and operational performance. Candidates must possess strong analytical skills, proficiency in data visualization and reporting tools, and the ability to translate complex data findings into clear, strategic recommendations. Experience with statistical analysis, predictive modeling, and process optimization is essential to ensure data-driven solutions are both accurate and impactful. Design, implement, automate, and maintain robust data quality pipelines using R, Python, or other 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 diagnose their root causes. Perform comprehensive root-cause analyses to identify whether issues stem from tool design flaws, process inefficiencies, enumerator performance gaps, or broader operational challenges, then propose actionable solutions for resolution. Maintain the organizational Data Quality Risk Register by recording recurring issues, documenting mitigation actions, and capturing lessons learned to enhance the effectiveness of future survey implementations. We are seeking a highly organized and detail-oriented professional to oversee standards implementation, maintain comprehensive documentation, and lead capacity-building initiatives. The ideal candidate will ensure adherence to established protocols while fostering continuous improvement through structured training and knowledge-sharing programs. Responsibilities include developing and updating documentation, evaluating compliance with industry benchmarks, and designing tailored capacity-strengthening interventions to enhance team performance and operational efficiency. A strong background in quality assurance, regulatory compliance, or related fields is essential, along with excellent communication skills to facilitate collaboration and training across departments. Education A bachelor’s degree in Statistics, Data Science, Economics, Computer Science, Information Management, or a closely related quantitative field is required. Experience Professional experience in Data Quality Assurance or Data Management spanning at least three years, primarily involving large-scale primary data collection, is required.

Expérience

• Extensive background in facilitating household surveys or other extensive field-based data collection initiatives within the development sector. Demonstrated success in establishing and executing data quality assurance measures throughout the entire survey lifecycle. We seek a candidate with robust technical competencies to fulfill this role effectively. Proficiency in relevant software, systems, and tools is essential, along with the ability to troubleshoot complex technical issues efficiently. The ideal applicant will demonstrate a strong understanding of industry standards, best practices, and emerging technologies to support operational excellence. Additionally, the position requires the capacity to collaborate with cross-functional teams, ensuring seamless integration of technical solutions. A commitment to continuous learning and adaptability in a dynamic environment is highly valued. Experience in [specific technologies or fields, if applicable] is preferred to enhance performance in this position.

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