Data Analyst

Tria Federal•Washington, DC

5h•Onsite

About The Position

Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow. We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply. Tria Federal is seeking a talented Data Analyst/Scientist to support the Industrial Assessments Branch at Defense Intelligence Agency’s Deputy Director for Global Integration (DDGI).

Requirements

B.S. in related field with 5+ years of experience or 10+ years with no B.S.
Must be a U.S. Citizen
Must have an ACTIVE TS/SCI w/ CI Poly Clearance
Experience with data analysis tools, specifically Tableau
Experience engaging with internal stakeholders to collect, compile, sort, analyze, and convey complex data into recommendations, assessments, or presentation formats; able to interface with external senior-level personnel under minimal supervision.
Experience in working with web developers to create leadership and SME dashboards, including web-enabled data collection for operations, activities, and investments (OAIs)
Experience with data segmentation techniques
Experience with univariate and bivariate analysis
Experience with database design
ACTIVE TS/SCI with CI POLY CLEARANCE REQUIRED MUST BE U.S. CITIZEN

Nice To Haves

Experience with military service, combatant command, or Joint Chief of Staff planning activities is preferred
Experience advising and analyzing large data sets in support of strategic planning
Experience with data-driven decision-making
Experience with multivariate regression and non-parametric analysis
Experience with programming languages (e.g. R, Python, XML, Javascript, ETL Frameworks) and databases; coding for EDA, data cleaning, and above statistical tests (e.g. SQL, SQLite, etc).
Experience with Big Data and analysis of large data sets (AI/ML methods and approaches)
Experience with statistical packages for analyzing large datasets (e.g. SAS, Excel, SPSS, etc).
Experience with database design, data models, data mining, and segmentation techniques

Responsibilities

Conduct analysis and calculations to determine how data samples and reporting can best support the mission of the Industrial Assessments Branch and across the Agency
Conduct analysis to incorporate and evaluate risk
Able to produce algorithms in R &/or Python
Understanding concept of data sampling
Data Visualization via Tableau and presentation to Executive Leadership
Able to conduct exploratory data analysis w/various types of data to include textual data

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