Decision Information Resources Inc

Role Description The Survey Research Specialist (SRS-I) will contribute to and support the work of projects for a variety of government, business, and non-profit organizations. The SRS-I will assist the Survey Director with project management activities, data collection activities, and conducting research and evaluation across a broad range of topics. The ideal SRS-I will demonstrate strong interpersonal and problem-solving skills, an understanding of project and operations management, and an ability to manage and prioritize multiple competing tasks. - Support survey research projects throughout their lifecycle, including research design, data collection, and analysis - Assist the Survey Director with administrative and project management activities, including milestone tracking and drafting meeting agendas and minutes - Develop project training materials and reference documents - Train data collection staff on survey instruments and procedures - Support the design and development of data collection tools or resources - Assist with drafting reports, presentations, and other client deliverables - Perform quality assurance tasks, including testing IT systems - Assist with other tasks, as needed Qualifications - Bachelor’s degree in a social science or liberal arts discipline, with exposure to social science research and evaluation functions - At least one year of professional experience in the field of survey research, or relevant course work - Proficiency in Microsoft Word, Excel, and PowerPoint software - Understanding of basic data collection and analytic methods - Excellent oral and written communication skills - Ability to work independently and in teams, including working with people from diverse racial, ethnic, and socioeconomic backgrounds - Strong attention to detail and ability to manage multiple tasks simultaneously and independently - Highly motivated and detail-oriented Requirements - Strong interpersonal and problem-solving skills - Understanding of project and operations management - Highly motivated and detail-oriented - Ability to adapt to meet project needs - Ability to manage multiple tasks and priorities across projects while adhering to project timelines Typical Physical Demands and Working Conditions Requires sitting, standing, and bending and a normal range of hearing and vision.

Role Description DIR is seeking a detail-oriented and technically skilled Data Analyst to support the preparation and delivery of high-quality data products for our clients. This role supports a range of projects, including: - Federal and state program evaluations - Survey design and data collection efforts - Performance measurement and reporting systems - Technical assistance initiatives The Data Analyst will work with complex, multi-source datasets to support data validation, analysis, and reporting activities that inform policy, program management, and research objectives. Responsibilities include: - Supporting the processing, validation, and documentation of data - Collaborating with project teams to ensure data accuracy, structure, and usability - Using data programming languages (such as SAS, R, Python, or SQL) - Leveraging AI tools for data processing, documentation, and quality assurance Qualifications - Bachelor’s degree in a Social science, Computer science, statistics, or related field - 3-5 years of relevant work experience - Experience using data programming tools to manage and analyze data - Knowledge of social science research and evaluation methodology (preferred) - Experience with data programming languages (e.g., SAS, R, Python, or SQL) for data management and transformation - Experience with SAS is strongly preferred; willingness and ability to learn SAS in a production environment is required - Experience working with large and complex datasets, including survey, observational, or administrative data - Ability to identify, troubleshoot, and resolve data issues and inconsistencies, with guidance as needed - Experience preparing datasets for analysis, reporting, and client delivery, including de-identification of sensitive data - Proficiency in Microsoft Excel and other Microsoft Office applications - Familiarity with SQL and ability to write or interpret basic queries is preferred - Experience with data visualization or reporting tools (e.g., Power BI, Tableau) is preferred - Experience using AI tools (e.g., generative AI or code assistants) to support data-related tasks - Strong attention to detail and commitment to data quality and accuracy - Ability to manage multiple assignments and meet deadlines in a fast-paced environment - Ability to work both independently and collaboratively as part of a team - Strong problem-solving skills and ability to address challenges with appropriate supervision - Clear written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences - Ability to effectively work with AI tools as part of day-to-day workflows Requirements - Develop and maintain data processing programs (primarily in SAS) to clean, transform, and prepare datasets for analysis under the direction of senior staff - Perform quality control checks to validate data accuracy, completeness, and consistency throughout the data lifecycle - Merge, organize, and prepare data from multiple sources for analysis and client delivery - Assist in creating and maintaining documentation of data files, processes, and code (e.g., codebooks, processing steps, data decisions) - Write data narratives that describe file structure, processing procedures, and any anomalies or limitations - Support reporting and visualization efforts, including developing data dashboards and preparation of analysis-ready datasets - Communicate data issues, assumptions, and findings to project teams, including non-technical staff - Assist with instrument and survey data review and processing - Use AI tools to support data cleaning, transformation, documentation, and workflow efficiency - Apply AI-assisted approaches to support quality assurance while independently reviewing and validating results for accuracy and reliability - Other duties as assigned Key Competencies - Strong attention to detail and commitment to data quality and accuracy - Ability to manage multiple assignments and meet deadlines in a fast-paced environment - Ability to work both independently and collaboratively as part of a team - Strong problem-solving skills and ability to address challenges with appropriate supervision - Ability to take direction and adhere closely to standard policies and procedures Typical Physical Demands and Working Conditions Requires sitting, standing, and bending and a normal range of hearing and vision.