Data Analyst Intern

17 hours ago

Vienna, Virginia, United States Navy Federal Credit Union Full time
Job Summary

We are seeking a highly motivated and detail-oriented Intern - Year Round (Project Data Assistance) to join our Engineering and Vendor Management team. As a key member of our team, you will be responsible for providing life cycle support to multiple projects and programs of small to medium scope and impact.

Key Responsibilities
  • Organize, facilitate, and coordinate project initiatives from inception through implementation, under the direction of a Project/Program Manager or management.
  • Provide day-to-day support to multiple projects and programs, demonstrating familiarity with the business unit's activities, processes, products, or services.
  • Monitor project/program to ensure adherence to respective methodology and maintain effective relationships with internal business partners.
  • Produce routine reports and perform basic/routine tasks with limited latitude and moderate impact.
  • Serve on teams and task groups for projects/initiatives within the business unit and/or across the organization.
  • Determine project requirements and prepare project plans, proposals, schedules, budgets, communications, and staffing requirements.
  • Assign responsibilities/tasks to project team members based on priority, staff availability, and resources.
  • Monitor and maintain project/program schedule, documentation, progress, and change requests, and provide weekly status updates.
  • Escalate project issues to Project Manager and/or management for resolution.
  • Identify and track cross-project dependencies and impacts, communicate issues, and provide solutions.
  • Organize and attend meetings and distribute minutes to project team members.
  • Collaborate with various levels of staff to accomplish tasks/assignments.
  • Identify and recommend process improvements to Project Manager, team, and/or management.
  • Develop, maintain, and manage reporting, dashboards, and BI solutions.
  • Accurately translate requirements into data solutions for reporting purposes.
  • Analyze data to identify known and unknown data relationships and patterns.
  • Assist in preparation of realistic project implementation plans, highlighting major milestones and deliverables, leveraging standard methods and work planning tools.
  • Assist in recognition of potential issues and risks during the analytics project implementation and suggest realistic mitigation strategies.
  • Assist in preparation of high-quality project deliverables that are valued by the business and present them in a manner that is easily understood by project stakeholders.
  • Support improvements to the way in which leaders visualize analytic services for the entire function.
  • Understand data gaps and tie data components together for visualization purposes.
Requirements
  • Familiarity with project/program management processes and methodologies.
  • Exposure to working and participating in cross-functional, multi-dimensional teams and projects.
  • Ability to handle multiple tasks simultaneously with a high degree of accuracy.
  • Ability to work independently and in a team environment.
  • Exposure to working with diverse internal and external contacts.
  • Ability to compile, organize, and present information clearly and concisely.
  • Effective use of PCs and related software packages.
  • Basic research, analytical, and problem-solving skills.
  • Effective skill exercising initiative and using good judgment to make sound decisions.
  • Effective organizational, planning, and time management skills.
  • Effective verbal and written communication skills.
  • Effective skill interpreting, applying, and explaining written and oral regulations, instructions, products, and procedures in English.
  • Demonstrates basic understanding behind the visualization of data components.
  • Has a basic knowledge of various data structures and formats and the ability to extract data from various data sources.
  • Demonstrates basic knowledge of data visualization tools.
  • Has basic knowledge of various data structures and the ability to manipulate data within visualization tools.
  • Ability to manipulate raw data into effective visualization dashboards.
  • Ability to communicate end-to-end data outcomes visually.
  • Exposure to developing analytic insights, charts, and tables using disparate data sources and transforming data into visual dashboards that are useful to the business and aid effective decision-making.
  • Exposure to the use of statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events.
  • Familiarity with performing statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques.
  • Ability to view and understand other project or functional areas in order to consolidate analytical needs and processes.
  • Understanding of data integration, data cleaning, data pipelines, and other analytical techniques for modeling.
  • Working knowledge of SQL and querying.
  • Bachelor's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training, and experience.

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