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Tria Federal (Tria)

Data Analyst

Tria Federal (Tria), Washington, District of Columbia, us, 20022


Location:

Washington, DC

Employment Type:

Full Time

Clearance:

TS/SCI w/ CI Poly

* US Citizenship and the ability to obtain and maintain the clearance level stated above are required for this specific opportunity. Tria Federal (Tria) is unable to sponsor at this time.

Who We Are:Tria Federal (Tria) is the premier middle-market IT and Advisory services provider delivering digital transformation solutions to Civilian, Defense, and Intelligence agencies across the federal sector. With a future-forward vision and a mission rooted in service, we bridge capability gaps to help government agencies work faster, grow smarter, and stay nimble in the face of change.

Who You Are:You are a talented Data Analyst with at least 5+ years of experience and a passion for thinking big, taking action, and delivering exceptional results. You are outcome-driven, quality-obsessed, and relentlessly focused on innovation as a value-driver for world-class delivery, client satisfaction, and performance. You’re looking to grow as a professional in a team-oriented environment where you can put your fingerprint on mission-critical projects impacting the citizens we serve.

Military Veterans and individuals with disabilities are encouraged to apply!

About This Role:Tria Federal (Tria) is seeking a talented mid-level Data Analyst to support the Industrial Assessments Branch at Defense Intelligence Agency’s Deputy Director for Global Integration (DDGI).

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 with various types of data to include textual data.

The “Need-to-Have” Skills & Qualifications:

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).

Ability to build analytical models and quantitative analysis for strategic and campaign assessments, including military assessment and strategic risks.

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.

Experience with data analysis tools (e.g. Tableau, RapidMiner, OpenRefine, KNIME, Google Search Operators, NodeXL, etc.)

Professional Certifications:N/A

Education:Bachelor’s Degree (Computer Science or Similar)

Clearance:Active TS/SCI Clearance w/ CI Poly

Years of Professional Experience:5+ years

The “Nice-to-Have” Skills & Qualifications:

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.

Why Tria?What defines the Tria brand is more than just our dedication to excellence in our craft; it’s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team’s shared success.

As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all.

Job Listing ID:

job_20231016212537_NMBLOU9DUES81W6Y

Equal Employment Opportunity (EEO):Tria Federal (Tria) is a Federal Contractor and EEO, OFCCP, VEVRAA, and Affirmative Action Employer. As an Equal Employment Opportunity provider, Tria follows the protection of federal, state, and local law: Qualified applicants will receive consideration for employment without regard to race, color, creed, religion, age, national origin, marital status, disability, veteran status, sexual orientation, gender identity or expression, marital status, or genetic information.

U.S. Citizenship is required for this specific opportunity as Tria is unable to sponsor at this time. All selected applicants will be subject to a Minimal Background Investigation (MBI) and a government security investigation (when applicable) depending on the specific program and position listed.

Qualified individuals with a disability have the right to request a reasonable accommodation. If you are unable or limited in your ability to use or access the Tria careers website as a result of your disability, please request a reasonable accommodation by sending an e-mail to hrhelp@triafed.com or call (703) 229-5888. Include the nature of your request, along with your name and contact information.

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