D&G Support Services · 1 week ago

Senior Data Analyst

Fort Belvoir, VA

Full-time

Onsite

Senior Level

5+ years exp

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Comp. & Benefits

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Responsibilities

Assemble large, complex sets of data that meet non-functional and functional business requirements.

Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.

Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.

Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.

Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.

Work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Qualification

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Data EngineeringData ScienceData AnalysisDLA Business Enterprise SolutionsDLA SystemsNon-DLA SystemsBig Data ToolsMicrosoft SQL ServerNoSQL DatabasesSQL DatabasesWorkflow ManagementPipeline ToolsAWS ServicesStream-Processing SystemsAnalytical ToolsDevSecOps ApplicationsScripting LanguagesOptimize Data SetsData PipelinesData ArchitecturesRoot Cause AnalysisData TransformationWorkload ManagementData StructuresDependency ManagementMetadata ManagementDoD 8570 CertificationsDLA Approved Certifications analytical skillsCommunication skills

Required

Education: Master’s degree preferred.

5 years of work experience as a Data Engineer, Data Scientist, Data Analyst, or similar role.

Experience working with DLA business enterprise solutions (e.g., EBS, FLIS, EDW, DAAS, WMS), DLA systems (e.g. WAWF, ETID, SAM, DIBBS), and Non-DLA systems (e.g., GSA, IGC, 3PL, Syncada, etc.) highly preferred.

Demonstrated understanding and experience using software and tools including big data tools such as Kafka, Spark, Hive, and Hadoop HDFS; Microsoft SQL Server, relational NoSQL and SQL databases including Cassandra and Postgres; workflow management and pipeline tools such as Airflow, Luigi and Azkaban; AWS close services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; analytical tools such as SAS Viya, Qlik, PowerBI, and Anaconda; DevSecOps factory applications like GitHub, Nexus Repository, and Nexus Firewall; and object function/object-oriented scripting languages including Python, R, Scala, C++, and Java. Strong analytical and communication skills.

Ability to build and optimize data sets, ‘big data’ data pipelines and architectures.

Ability to perform root cause analysis on external and internal processes and data. Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.

Certifications: One of the following DoD 8570 certifications are highly preferred: CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP

One of the following DLA Approved certifications are highly preferred: AWS Certified Solutions Architect Associates (SAA 003 exam), AWS Certified Solutions Architect Professional, AWS Certified Security Specialty, Microsoft Certified Architect MS SQL Server, Microsoft Certified: Azure Administrator Associate (AZ-104 exam) or other