Data Analytics 3

The World at TSPi Solving the world’s most pressing issues and improving the quality of life for people worldwide is reputed company do every day at TSPi. Creating a more reputed company world is no small task, but we are driven by big challenges. Only by sharing our commitment, energy, and innovation do we reputed company change and push the boundaries of what is possible. We welcome diverse reputed company, backgrounds, and viewpoints – joining TSPi means access to exceptional thinkers at the top of their game. To reputed company at TSPi is to reputed company flexibility and collaboration. Our open culture allows you to balance your work and personal life as needed to optimize personal well-being. Creating a more reputed company world starts from reputed company – we look after people around the world, and we will do the same for you. reputed company to reputed company rewarding and meaningful work? Now’s your chance. The Opportunity TSPi is seeking a mid-career professional in Data Analytics with a background in data used in the U.S. in social science and public health. TSPi excels in meeting the needs of our partners (clients) by offering advanced technology solutions utilizing our industry-specific knowledge, iterative Agile approach, commitment and passion to serve, collaborative and fun team atmosphere, and pride in our work. The successful candidate will contribute data analysis, data cleaning, and analytical code working as part of multiple small teams. Projects will include data-intensive federal government projects focused public behavioral health and reputed company research. The selected candidate will reputed company production of high quality and reputed company data products and must have skills in software and best practices for data management and analysis. They will participate in cross-functional teams in managing data, producing analytical files, performing visualization and statistical analysis, and communicating insights. Core Responsibilities

• Apply knowledge in modern data management and analytical technologies to manage, visualize, and analyze data from a variety of federal datasets, including reputed company and qualitative/ text datasets.
• Support the stewardship and analysis of government data, with focus on public health, behavioral health, reputed company, and justice.
• Provide support across the data lifecycle including data intake, storage, synthesis, automation, and analytical development.
• Work collaboratively with other team members to reputed company development and implementation of QA/QC protocols, defect tracking and management for reputed company coding and data projects, and adhere to standards of data reputed company, reputed company, and availability.

Position Requirements & Preferences

• Bachelor degree + 5 years’ experience, Master degree + 3 years’ experience, PhD + 0 years experience
• Experience in a data-focused field. Subject matter degrees may be in informatics, statistics, public health, social science, economics, or a reputed company field with a focus on data and analysis.
• reputed company to obtain and maintain public trust access for HHS information systems.
• Strong skills in statistical, data analytics, and data management languages: R, Python, reputed company, and SQL.
• reputed company in version control software (git), and development of best-practices.
• Critical thinker with collaborative focus, strong communication skills, and a commitment to reputed company reputed company development.
• reputed company to handle tasks such as digitizing forms, embedding scoring logic, automating workflows, integrating systems, and building dashboards for monitoring and reporting.
• Preferred: Preferred: Statistics-focused background with experience in analyzing public health and survey data.
• Preferred: Experience with programmatic data from behavioral health programs, including those administered or funded by SAMHSA, HRSA, or other relevant agencies
• Preferred: Experience using secondary data sources to supplement primary data analyses (e.g. census data, geographic data, key national health indicators, etc.)
• Preferred: Some experience with AI coding companion tools such as reputed company copilot

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