Data Analyst - integrated resources : Job Details

Responsibilities • Gather and process large datasets from various internal and external sources, ensuring data accuracy and integrity. • Develop and maintain data pipelines and ETL processes for both Snowflake and Palantir environments. • Conduct exploratory data analysis, hypothesis testing, and root cause analysis on data sources and datasets. • Synthesize complex data into actionable insights for stakeholders, including engineers, architects, data scientists, business and technical leaders. • Collaborate with data scientists and engineering teams to support the development of rules-based algorithms, predictive models, and AI/ML or Generative AI solutions. • Provide data inputs, feature engineering, and performance analysis to enhance model accuracy and reliability. • Design and create dashboards, data visualizations, and presentations to communicate insights effectively to non-technical stakeholders. • Document and present complex methodologies and outcomes in a clear, concise manner for both technical and non-technical audiences. • Ensure that data management practices align with privacy and compliance standards relevant to public health. • Establish and maintain data governance frameworks, data dictionaries, and standard operating procedures. Required Skills • Strong SQL skills and experience working with cloud data warehousing platforms such as Snowflake. (5+ years) • Proficiency in programming languages (Python, R, or similar) for data analysis and basic scripting. (3+ years) • Proven track record in translating business questions into analytical problems and delivering actionable insights. (8+ years) • Familiarity with ML concepts (feature engineering, model evaluation) and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.). • Excellent verbal and written communication skills, particularly in conveying technical information to diverse audiences. • Ability to collaborate in cross-functional teams (data science, IT, clinical teams, etc.) to deliver end-to-end solutions. Preferred Skills • Demonstrated ability to use Palantir Foundry (or similar Palantir platforms) for data integration, analysis, and collaboration. • Hands-on experience with Generative AI models (e.g., GPT, BERT), and a strong understanding of large language models. • Practical exposure to building end-to-end predictive and prescriptive analytics solutions in a healthcare or public health context. • Experience leading or managing data analytics projects through the entire lifecycle, from requirements gathering to deployment and maintenance. • Familiarity with agile methodologies and cross-functional team leadership. • Proficiency in BI/reporting tools such as Tableau, Power BI, or Qlik to develop interactive dashboards and reports. • Proven ability to provide insights from complex datasets using advanced visualization techniques.