SkyePoint Decisions
DataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Analyst at SkyePoint Decisions. Skills: Data analysis, Cybersecurity data, Reporting, Machine learning. Analyze cybersecurity datasets. Analyze operational datasets”
Industry & Context.
Data-driven decision making
U. S. citizenship, Active Top Secret clearance, Obtain TS/SCI
What They're Looking For.
Must Have
Bachelor's degree, minimum 9 years experience, 4 Years with PhD, CASP+ CE certification, CCNP Security certification, CEH certification, CFR certification, CHFI certification, CISA certification, CISSP certification, Cloud+ certification, CND certification, CySA+ certification, GCED certification, GCIH certification, GICSP certification, SSCP certification, Python and Pandas experience, SQL query experience, Power BI dashboard experience, Tableau dashboard experience, cybersecurity data sources familiarity, supervised machine learning concepts, unsupervised machine learning concepts, communicate analytical findings, U. S. citizenship, Active Top Secret clearance
Nice to Have
Splunk experience, Microsoft Defender experience, Palo Alto Networks experience, Databricks familiarity, PySpark familiarity, large-scale data environments familiarity, anomaly detection experience, trend analysis experience, statistical analysis experience, machine learning applications experience, federal environment experience, DoD environment experience, DoS environment experience, automating reporting workflows experience, automating data processing workflows experience, AI tools familiarity, copilots familiarity, agent-based workflows familiarity
What You'll Do.
Analyze cybersecurity datasets
Analyze operational datasets
Develop visualizations
Maintain visualizations
Perform data extraction
Perform data validation
Perform data cleansing
Perform data transformation
Perform data enrichment
Support reporting workflows
Support analytics workflows
Automate manual processes
Improve data quality checks
Conduct exploratory data analysis
Support operational monitoring
Support situational awareness
Support decision-making
Translate business requirements
Translate operational requirements
Identify reporting gaps
Identify data inconsistencies
Identify process improvement opportunities
Document data sources
Document reporting methodologies
Document business rules
Document analytical processes
Support ad hoc reporting requests
Support operational data analysis
How You'll Work.
Team & Collaboration
Collaborate with analysts; Collaborate with stakeholders
Communication Scope
Communicate findings
Full Job Description
SkyePoint Decisions is a leading Cybersecurity Architecture and Engineering, Critical Infrastructure and Operations, and Applications Development and Maintenance IT service provider headquartered in Dulles, Virginia with operations across the U. S. We provide innovative enterprise-wide solutions as well as targeted services addressing the complex challenges faced by our federal government clients. Our focus is on enabling our clients to deliver their mission most efficiently and effectively – anytime, anywhere, securely. We combine technical expertise, mission awareness, and an empowered workforce to produce meaningful results. This is a contingent position based upon customer approval. SkyePoint Decisions is seeking a Data Analyst to support the Diplomatic Security Cyber Mission (DSCM) program providing leading cyber and technology security experience to enable innovative, effective, and secure business processes. This position is located in Arlington, VA and will be onsite 5 days a week. No hybrid/telework allowed. Responsibilities: Analyze cybersecurity and operational datasets (e.g., network logs, authentication data, phishing activity, threat telemetry) to identify trends, anomalies, and patterns. Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar platforms to support operational and leadership reporting. Perform data extraction, validation, cleansing, transformation, and enrichment using Python (Pandas) and SQL. Support recurring reporting and analytics workflows by automating manual processes and improving data quality checks. Conduct exploratory data analysis to support operational monitoring, situational awareness, and decision-making. Collaborate with cybersecurity analysts and stakeholders to translate business and operational requirements into data-driven insights. Develop and maintain metrics related to cyber activity, authentication trends, phishing events, and external threat activity. Assist with identify
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