Data Analytics Analyst (5615)

SMX•Arlington, VA

1d•$93,700 - $156,200

About The Position

We are looking for a skilled Data Analytics Engineer to join our team. You will build and support enterprise reporting tools using Oracle Analytics and Budget formulation software. Your work will turn complex Budget, financial and operational data into clear, actionable insights. You will bridge the gap between data systems and business leaders to drive smart choices for SMX and our DoW clients. At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

Requirements

Secret clearance
Excel and O365 Apps savvy
OBIEE/Oracle Analytics Server dashboard development experience or solid experience with other Data analytics and visualization tools like Qlik
At least 5 years of Systems development experience using Agile methodologies
Excellent stakeholder management through the systems development requirements lifecycle
Good presentation and professional writing skills via process mapping and design walk throughs.

Nice To Haves

Good understanding of Planning, Programming, Budgeting, and Execution (PPBE) process in either DoW or Federal civilian sectors

Responsibilities

Design, test, and deploy interactive dashboards and reports using Oracle Analytics Cloud (OAC) and custom Budget formulation and Enterprise Performance Management software applications.
Maintain and optimize Budget formulation databases, planning applications, and data pipelines.
Fix data flow errors, performance lags, and reporting discrepancies quickly.
Work with budget formulation and business operations groups to understand their data needs and turn them into technical solutions.
Run data validation checks to keep our reporting accurate and trustworthy.