Data Scientist (Analytics)
About The Position
DecisionPoint seeks a Data Scientist (Analytics) to transform enterprise operational, monitoring, and performance data into actionable insights within a large federal and DoD-aligned IT mission environment. This role produces executive-level visualizations, summaries, analytical narratives, heatmaps, and trend analyses that enable informed decision making across leadership, engineering teams, and mission stakeholders. The Data Scientist (Analytics) develops robust analytical models, evaluates service performance, identifies operational trends, and produces clear, consumable reporting that enhances situational awareness across the enterprise. This position is fully remote.
Requirements
- Must hold an active Secret clearance, supported by a Tier 3 background investigation.
- Bachelor’s degree in Communications, Data Visualization, Analytics, or a related discipline.
- Minimum 7 years of experience in data visualization, analytics, data science, or performance reporting.
- Experience producing executive-ready dashboards, heatmaps, trend reports, and analytical narratives.
- Experience translating complex datasets into interpretable visual and written insights.
- Experience integrating data from monitoring platforms, incident/ticketing tools, or IT operational systems.
- Proficiency with data visualization tools (Power BI, Tableau, Grafana, or equivalents).
- Strong understanding of KPI modeling, trend analysis, and data transformation.
- Ability to structure analytical findings into clear written narratives and presentations.
- Experience working with SQL, data modeling, or ETL workflows.
- ITIL v4 Foundation certification.
- Excellent analytical storytelling, with the ability to distill complex data into actionable insight.
- Strong written and visual communication skills for executive audiences.
- High attention to detail with a focus on clarity, accuracy, and consistency.
- Ability to collaborate effectively with cross-functional teams and interpret operational needs.
- Strong problem solving and critical thinking skills.
Nice To Haves
- Familiarity with scripting languages for data processing (Python, R, etc.).
- Knowledge of IT operational metrics, service desk KPIs, or monitoring system data.
- Experience within federal, DoD, or enterprise-level reporting environments.
- Additional certifications in analytics or data visualization.
Responsibilities
- Transform monitoring, KPI, and operational data into visually rich dashboards, heatmaps, and executive summaries.
- Conduct trend analyses, anomaly detection, forecasting, and performance measurement across IT operations.
- Produce narrative insights that contextualize data findings for leadership decision support.
- Build standardized reporting artifacts for monthly, quarterly, and ad-hoc leadership deliverables.
- Integrate data from multiple systems including monitoring tools, ticketing systems, incident logs, and operational platforms.
- Ensure analytical outputs are accurate, repeatable, and aligned with federal reporting expectations.
- Develop templates and reusable visualization patterns for recurring reports.
- Collaborate with engineering, service desk, cybersecurity, and PMO teams to capture relevant data inputs.
- Maintain documentation for analytics logic, data definitions, and workflow processes.
- Support the evolution of enterprise data visualization and analytics maturity.
Benefits
- Equal Employment Opportunity and Affirmative Action employer
- Pay Transparency Policy
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
