Data Analyst

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 identifying reporting gaps, data inconsistencies, and opportunities for process improvement. Document data sources, reporting methodologies, business rules, and analytical processes to support transparency and repeatability. Support ad hoc reporting requests and operational data analysis efforts. Required Qualifications Bachelor’s degree and minimum 9 years experience; 7 Years with Masters; 4 Years with PhD. An additional four (4) years of experience may be substituted in lieu of the bachelors degree requirement. Must possess or be able to obtain one of the following certification before start date. Continued certification required as a condition of employment: CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP Experience using Python and Pandas for data analysis and transformation. Experience writing and troubleshooting SQL queries for data extraction and analysis. Experience building dashboards and reports using Power BI, Tableau, or similar visualization platforms . Familiarity with cybersecurity data sources such as SIEM, EDR/XDR, authentication logs, or network telemetry. Familiarity with supervised and unsupervised machine learning concepts and models. Ability to communicate analytical findings to technical and non-technical stakeholders. U.S. citizenship required. Active Top Secret security clearance with the ability to obtain TS/SCI. Preferred Qualifications Experience working with Splunk, Microsoft Defender, Palo Alto Networks, or similar cybersecurity platforms. Familiarity with Databricks, PySpark, or large‑scale data environments. Exposure to anomaly detection, trend analysis, statistical analysis, or machine learning applications. Experience supporting federal, DoD, or DoS environments. Experience automating recurring reporting or data processing workflows. Familiarity with leveraging AI tools, copilots, or basic agent‑based workflows to automate or enhance data analysis, reporting, and operational tasks. Compensation Salary Range: $100,000-$124,000 Benefits Certification incentive program. PTO and floating federal holiday options. Insurance options including HMO and High Deductible plans with Health Savings Accounts (HSAs), Flex Spending Accounts (FSAs), Full Dental Plans, Vision, ST/LT Disability, Life Insurance. 401k matched. SkyePoint Decisions is a participating E‑Verify Employer. U.S. Citizenship is required for most positions. Equal Opportunity Employer / Veterans / Disabled. #J-18808-Ljbffr