Data Analyst Co-op/Intern

CAE • Tampa, FL

1d • Onsite

About The Position

The Data Analyst Co-op will be responsible for supporting programs and departments throughout the organization by gathering, verifying, formatting and visualizing data for the business to gain insight and improve decision making. They will work closely with internal and external customers and management to develop and deploy data analysis and statistical analysis strategies to improve overall performance of the business. The focus of the Data Analyst is to assess data quality, correlation, and identify/interpret trends or patterns in large complex datasets representing the performance of the business. The Data Analyst must then communicate the results of their analysis to the relevant stakeholders in order for the information to be actionable by the stakeholders for performance assessment and/or improvement.

Requirements

• Excellent written and verbal communication skills required. Must be able to communicate technical concepts effectively to all levels of the organization.
• Currently pursuing a Bachelor’s degree (Junior or Senior standing) or a Master’s degree in Mathematics, Data Analytics, Economics, Computer Science, Statistics, Business, or a related field.
• No prior industry experience required.
• Familiarity with business and statistical concepts (descriptive statistics, inferential statistics, regression analysis, KPI, OKR).
• Familiarity with overall data concepts (data warehouses, ETL, modeling, cloud, security, and compliance).
• Familiarity with business‑intelligence platforms such as Power BI, Tableau, or Domo. (Knowledge of Power BI and Domo is preferred)
• Able to code, perform unit testing, handle errors, and manage version control (SQL, Python, R, VBA, Power Query, and Git).
• Familiarity with task‑tracking systems such as Jira.
• Must have excellent communication and presentation skills.
• Must be proficient with Microsoft Office products.
• Must be able to learn quickly, think critically, solve problems, and document solutions.
• Must be able to work with minimal supervision and be highly adaptable.
• Must comply with all company security and data protection / usage policies and procedures.
• Personally responsible for proper marking and handling of all information and materials, in any form.
• Shall not divulge any information, or afford access, to other employees not having a need-to-know.
• Shall not divulge information outside company without management approval.
• All government and proprietary information will be accessed and stored electronically on company provided resources.
• Incumbent must be eligible for DoD Personal Security Clearance.
• Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

Nice To Haves

• Prior externships or job‑shadowing experiences in similar fields are desirable but not required.
• Having worked on projects - either solo or in a team - that demonstrate an understanding of multiple layers of analytical thinking is preferred.
• Participation in extracurricular activities or competitions such as Kaggle competitions or hackathons is desirable but not required.
• Familiarity with low‑code/no‑code systems is a plus.
• Knowledge or experience with Six Sigma / Lean methodologies is a plus.

Responsibilities

• Provide on-going support to programs, departments, IT, and management with data activities.
• Facilitate understanding, buy-in, and solution development for data activities.
• Synthesize data requests from internal and external customers to plan and execute data initiatives throughout the organization.
• Understand the links between data, processes, systems, and people, including the full lifecycle of data creation, data quality, data analysis, visualizations and reporting.
• Create dashboards and data visualizations for internal and external customers.
• Assess data quality, correlation, and analyze and interpret trends or patterns in large, complex datasets.
• Perform trend analysis and identify core driving data items for the assigned area.
• Serve as the data‑and process‑model verification tester for models created by the Data Scientist, validating the model’s representation of target processes.

Benefits

• Comprehensive and competitive benefits package and flexibility that promotes work-life balance
• A work environment where all employees are valued, respected and safe
• Freedom to succeed by enabling team members to deliver, take initiatives and make decisions
• Recognition, professional development, advancement and having fun!

What This Job Offers

• Career Level: Intern