Child Welfare/ Health Analytics Expert

ESSENTIAL JOB FUNCTIONS

Designs, manages, and analyzes data systems that support data-driven decision-making across multiple disciplines that supports clients and business needs, including public health, behavioral health, Federal, State and local social programs, and Federal monitoring of social programs. Demonstrates expertise in developing Python code using a comprehensive portfolio of skills, tools, and resources as well as experience managing a GitHub repository Designs data analytic tools, data visualization reports, and interactive dashboards using Tableau and/or Python (e.g., plotly and matplotlib). Contributes to the development of and tracking key performance metrics that support multiple projects in public health, behavioral health, and Federal, State and/or local monitoring contracts. Demonstrates ability to apply and share technical expertise within a multidisciplinary team to ensure a consistent and cohesive approach to program that support both immediate and long-term priorities. Demonstrates expertise in harmonizing, merging and cleaning large and complex data sets (millions of records and hundreds of variables) to create variables, conducts descriptive and inferential statistical analysis using SAS, R, Stata, and Python (e.g., pandas and numpy) Contributes to and drafts the preparation of client-ready written materials including, reports, PowerPoint presentations, and issue briefs that include data visualizations such as charts, tables, and infographics to convey findings and communicate information in a manner tailored to the intended audience Assists with management of contract timelines and schedules Executes tasks and deliverables for contract compliance

JOB QUALIFICATIONS

Minimum Education and experience Master’s Degree and 6 years of experience which includes 3 years focused on data analytics in social service programs. Preferred Education and experience Master’s Degree and 10 years of focus experience in data analytics methods in social sciences. Experience Experience in public health, or social programs that support individuals and families including but not limited to child welfare, healthcare, Medicare, Medicaid, including administrative data and practice with technical expertise in data management, system design, and advanced analytics Experience working with large-scale datasets (millions of records and hundreds of variables) and the intricacies involved in managing, wrangling, analyzing, and optimizing (query tuning) using administrative data of social programs such as, but not limited to, the context of child welfare (e.g., Comprehensive Child Welfare Information System, Adoption and Foster Care Analysis and Reporting System, National Child Abuse and Neglect Data System) Experience designing, developing, or implementing AI tools or models to enhance data analysis, automation, or support data insights Experience in developing key performance indicators in social sciences Software proficiency Expert knowledge in Microsoft Office (e.g., Excel, Outlook, PowerPoint) Proficient in Python, SQL, and cloud-based data management platforms (e.g., Snowflake, Databricks) required Proficient in using Tableau and PowerBi independently Experience with Stata, SAS, R, other statistical packages Excellent communication and interpersonal skills, both written and verbal, to interact effectively with multidisciplinary project teams and clients Knowledge of Federal monitoring reviews and child welfare data systems Analytical skills to extract data insights, trends, and outcomes Excellent organizational and time management skills Ability to work independently and as part of a team Strong problem-solving, critical-thinking, and analytical skills Self-motivated and proactive to work independently and collaboratively with minimal supervision and guidance; adaptable and flexible to cope with changing requirements and technologies Ability to conduct advanced statistical analyses with minimal supervision required Knowledge AI, machine learning, data analytics, data science Issues and challenges with data analytics in the social sciences Language English fluency (oral and written) Location: Remote eligible. If located within 50 miles from the North Bethesda or San Mateo office, this will be a hybrid work schedule. Security clearance: Ability to obtain and maintain a Public Trust Clearance (Federal Government background check) Physical requirements Ability to sit for prolonged periods at a desk or computer workstation Regularly uses a computer, keyboard, and mouse Normal or corrected vision to read documents, view computer screens, and perform tasks that require visual accuracy Ability to hear and understand spoken information in person and over the phone Minimal lifting and carrying may be required, typically light office supplies or documents Ability to move within the office environment to access equipment, files, and interact with colleagues Ability to handle occasional stress related to deadlines, workloads, or challenging tasks Ability to travel 10–20 percent, on average, based on the project needs Other duties as assigned This position description should not be construed to imply that these requirements are the exclusive standards of the position, nor will it be the sole basis for any subsequent employee evaluations. Incumbents will follow any other instructions and perform any other related duties as may be required by their supervisor. This position is subject to availability of funds and to any and all restrictions contained in the contract or contracts that provide funding for this position. EEO statement Our company is an equal opportunity/affirmative action employer. Applicants can learn more about the company's status as an equal opportunity employer by viewing the federal "EEO" poster at EEOPost.pdf. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status. #J-18808-Ljbffr JBS INTERNATIONAL, INC