Analytica

Technical Project Manager

• Lead the planning, execution, and delivery of complex technical and data-centric initiatives, ensuring projects remain aligned with scope, schedule, budget, contractual requirements, and organizational priorities.
• Coordinate and lead multidisciplinary teams including Data Engineers, Business Analysts, Analytics Engineers, Data Scientists, developers, and other technical specialists to deliver high-quality solutions.
• Serve as a primary point of contact between client stakeholders, technical teams, and program leadership, facilitating communication, issue resolution, decision-making, and alignment across competing priorities.
• Manage project plans, schedules, resource allocation, risks, dependencies, action items, and other project management artifacts required to support successful delivery.
• Facilitate Agile delivery activities, including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.
• Collaborate with technical teams supporting data pipelines, ETL processes, data integration, data warehousing, data quality initiatives, analytics, and business intelligence solutions.
• Support onboarding, training, operational rollout, and sustainment activities while driving continuous improvement in project delivery, operational efficiency, and customer satisfaction.
• Communicate project status, accomplishments, risks, and recommendations to both technical and non-technical audiences, translating complex concepts into actionable information.

General

• Interns will be placed on teams aligned with their academic background, interests, and business needs.
• Participants will contribute to meaningful projects, gain exposure to industry tools and practices, and develop professional skills in a collaborative environment.
• Support ongoing projects and operational initiatives.
• Conduct research, analysis, and documentation.
• Collaborate with cross-functional teams.
• Participate in meetings and team planning sessions.
• Deliver assigned tasks within established timelines.
• Learn organizational tools, systems, and best practices.
• Present internship outcomes or project learnings (if applicable)

Summer Intern Associate

Data Scientist

• Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges.
• Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks environment.
• Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results.
• Design and deliver advanced dashboards and visualizations to communicate insights, forecasts, and scenarios to technical and non-technical stakeholders.
• Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, and anticipate future trends.
• Partner with program managers, analysts, and client stakeholders to frame research questions, design analytic studies, and present findings in a clear, actionable manner.
• Document methodologies, ensure reproducibility of analyses, and contribute to analytic best practices across the team.
• Mentor junior analysts and data scientists in best practices for data science, forecasting, and statistical modeling.

Business Analyst

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