Data Analyst

Integration Innovation•Huntsville, AL

11d•Onsite

About The Position

i3 is searching for a Data Analyst to support the Missile Defense Agency Information Management and Software Services (AIMSS) effort. The mission is to design and implement a Missile Defense System with multiple layers of protection. The Data Analyst leverages data to provide valuable insights, support decision-making, and contribute to the overall success of the organization. Helps the organization make informed choices based on empirical evidence. This position is located at Redstone Arsenal in Huntsville, AL.

Requirements

Bachelor’s degree (BD) in data Analytics, Statistics, Mathematics, Business, Computer Science, or related field required.
Additional experience may substitute for a degree.
Jr Level – BD and 0-5 years of relevant experience.
Mid Level – BD and 6-11 years of relevant experience.
Sr Level – BD and 12+ years of relevant experience.
Experience working for a government organization preferred.
Active Secret clearance.
Must be able to maintain the security clearance for this position.
Must reside within a 50-mile radius of Redstone Arsenal in Huntsville AL or be willing to relocate prior to start date.
Ability to reliably commute to the office as business needs dictate.
U.S. Citizenship is required.
Proficiency or experience with at least one analytical tool or language (e.g., SQL, Python, R).
Proficiency in developing dashboards and visual reports using Power BI, Tableau, or similar tools.
Understanding of basic statistical techniques and data integrity principles.
Knowledge of office administration and procedures.
Exceptional judgment capabilities and relationship management skills.
Excellent communication, teamwork, and client service skills; ability to clearly communicate in discussions and written documents, and to deliver feedback clearly and tactfully.

Responsibilities

Ensures that data is collected, validated, and reviewed within established time frames and in accordance with prescribed standards of quality.
Assists in addressing technical or administrative issues associated with data access, collection, and dissemination.
Uses data collection tools to review reports and system outputs, ensuring accuracy and completeness across structured and unstructured sources.
Applies statistical methods and analytical tools to identify patterns, trends, and anomalies in RDT&E datasets.
Extracts and analyzes specific data elements from databases and information systems using software such as SQL, R, or Python.
Performs occasional non-routine or ad hoc analyses for leadership as needed.
Gathers data from databases, spreadsheets, APIs, and external datasets in support of program requirements.
Cleans and preprocesses raw data to ensure accuracy, consistency, completeness, and analytical readiness.
Applies descriptive statistics, hypothesis testing, and correlation analysis to derive insight from operational data.
Creates visual representations of findings using charts, graphs, dashboards, or other presentation tools.
Communicates complex findings in clear, concise terms for both technical and non-technical stakeholders.
Generates recurring and ad hoc reports summarizing trends, issues, and key performance indicators.
Presents findings and recommendations in formats tailored for leadership briefings and decision forums.
Ensure that analytical results are statistically sound.
Monitor data over time and flag anomalies or deviations from expected trends.
Develop or configure basic data alerts or triggers to signal threshold violations or unusual behavior.
Implements alerts or triggers for significant changes in data patterns.
Apply analytical skills to solve mission-related problems and support data-informed decisions.
Assist program staff and analysts by providing evidence-based insights to support project execution and strategic planning.
Follow established data governance standards and ensure compliance with relevant data classification and privacy regulations.
Maintain appropriate handling, labeling, and documentation for sensitive or classified data.
Document data sources, transformation steps, analytical logic, and key assumptions for reproducibility.
Other duties as assigned.