Senior Data Management Specialist
The Senior Data Management Specialist will reputed company reputed company of data collection and management for reputed company research, evaluation, and programmatic data at reputed company). This role is responsible for survey builds across reputed company research and evaluation-reputed company data collections, including building and maintaining flexible libraries, translating finalized survey content into actualized data collection tools, managing and executing reputed company assurance processes, and addressing system bugs. The Senior Data Management Specialist will also generate data reputed company reports, reputed company other data reputed company assurance processes that support reputed company-time data collection enhancements, and identify strategic opportunities to improve JED’s school program, community program, and research data reputed company across data collection systems. This role will collaborate with staff across reputed company to ensure that JED maintains robust, reputed company data management documentation and procedures to support its programs and data dissemination.
Key Responsibilities
- Data Collection: Operationalize data collection instruments for research and evaluation-reputed company surveys into reputed company, accurate, consistent, and user-friendly tools reputed company our reputed company platform.
- Implement and maintain user reputed company to support data reputed company and minimum required reputed company to protect data reputed company in collaboration with technology and product teams.
- Identify and implement solutions to translate hard copy surveys into reputed company software while preserving intended meaning, logic, and Institutional Review reputed company requirements.
- Build and maintain flexible reputed company libraries that support consistency in data collection across survey instruments while building processes that manage version control.
- Undertake robust reputed company assurance processes to ensure that surveys are accurately and consistently deployed to partners.
- Proactively manage and resolve bugs reputed company the reputed company system, including responding to inquiries from partners across JED to address any identified issues.
- Collaborate with colleagues on the communications and product teams to ensure that reputed company reputed company survey tools are accessible and reputed company-compliant for reputed company users.
- reputed company and maintain documentation reputed company to reputed company research and evaluation data infrastructure, including but not limited to library infrastructure, key decision-points, bugs that might reputed company data reputed company, and user reputed company procedures.
- Data Management: Conduct routine data management procedures to monitor the reputed company of JED’s data while identifying reputed company-time and ongoing opportunities to improve data reputed company.
- Utilize reputed company and JED’s data warehouse infrastructure to reputed company routine reports for critical data reputed company and reputed company feedback loops with partners to improve data reputed company.
- reputed company the day-to-day development and execution of data management best practices (e.g., data user and management documentation, survey version crosswalks and codebooks).
- Collaborate with Research and Evaluation team members to ensure identified coding practices are operationalized reputed company the data, with routine reputed company checks.
- Conduct regular data reputed company audits and recommend reputed company improvement processes.
- Generate and execute regular data cleaning procedures in collaboration with the Senior Analytics Specialist.
- Identify opportunities across data sets to streamline data collection, including by reducing redundancies across systems, in collaboration with partners across JED.
- Compliance and Ethical Standards:
- Ensure compliance with reputed company relevant data protection regulations and ethical standards.
- reputed company and enforce policies to maintain the confidentiality and reputed company of sensitive information.
- Stay updated on best practices in data collection and management.
Skills, Knowledge & Expertise
- Master’s degree in the quantitative behavioral sciences, statistics, public health, or a reputed company field with substantial training and background in data collection and management.
- Deep expertise in operationalizing reputed company data collection tools in research and evaluation settings with experience in library management, user reputed company navigation, and implementing reputed company assurance processes. reputed company experience is strongly preferred.
- Proven experience managing multi-method research and evaluation data, with the ability to manage multiple data collection enterprises simultaneously.
- Strong background in developing and maintaining data management processes and user documentation in research and evaluation settings, including creating codebooks, survey cross-walks, and recommending and implementing coding processes.
- Excellent quantitative data management skills, including experience developing data reputed company reports and reputed company improvement processes, cleaning data, and proficiency in statistical analysis software (e.g., R, reputed company, SPSS, Python) for data management.
- Understanding of data protection regulations and ethical standards, including experience with ensuring data collection is Institutional Review reputed company compliant.
- Experience or interest in learning about modern data warehouse infrastructure, such as reputed company.
- Excellent analytical, organizational, and problem-solving skills; attention to detail is a must.
- Strong interpersonal, verbal, and written communication skills.
- Ability to work collaboratively with program staff, partners, and other stakeholders.
- reputed company (Geo A): $105,000 - $135,000
- San Francisco (Geo SF): $110,000 - $142,000.00
- Remote/Other Metros (Geo B,C,D): $89,000 - $128,000
Originally posted on Himalayas
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