Data Insights Analyst

About the Role:

Dynanet is seeking a Data Insights Analyst to lead analytical discovery, data modeling, dashboard development, and insight generation for a modern cloud-based, AI‑enabled system. This role is responsible for transforming ingested data into meaningful intelligence, writing analytical scripts, and producing dashboards and reports that support executive‑level decision‑making. The ideal candidate combines strong analytical skills, technical depth in Python or R and SQL, and the ability to think like an executive to propose KPIs, thresholds, and insight‑driven recommendations.

The role has continuity into future development phases, including advanced analytics and predictive modeling.

• Analyze structured and unstructured data to identify trends, anomalies, and operational insights.
• Write Python or R scripts to process, transform, and analyze data.
• Perform exploratory data analysis (EDA) to uncover patterns and correlations.
• Develop insight‑driven summaries and recommendations for leadership.
• Identify emerging risks, performance gaps, and opportunities for improvement.

• Define data fields, data models, and analytical requirements based on real data.
• Validate extraction logic and ensure data structures support reporting needs.
• Collaborate with the Solution Architect to refine data schemas and ingestion outputs.
• Ensure data quality, consistency, and analytical readiness.
• Design and build dashboards using Power BI, Tableau, AWS Quick Sight, or similar tools.
• Propose meaningful KPIs, thresholds, and scoring logic.
• Develop visualizations that support executive‑level situational awareness.
• Translate analytical findings into intuitive, decision‑ready dashboards.

• Participate in requirements workshops and stakeholder interviews.
• Document analytical needs, reporting expectations, and data dependencies.
• Provide insight‑driven recommendations to guide system design and prioritization.
• Support leadership with briefing materials and analytical narratives.

• 7+ years of experience in data analysis, business intelligence, or analytics strategy.
• Strong ability to analyze structured and unstructured data.
• Proficiency in Python or R for data processing and analysis.
• Strong SQL skills and experience working with cloud‑based data platforms.
• Experience defining data fields, data models, and analytical requirements.
• Ability to think like an executive to propose meaningful KPIs and reporting structures.
• Experience designing dashboards and visualizations (Power BI, Tableau, AWS Quick Sight, etc.).
• Strong analytical thinking, pattern recognition, and problem‑solving skills.

• Experience with predictive analytics or statistical modeling.
• Experience with AWS, Azure, or cloud‑based data tools.
• Experience working in federal environments.
• Familiarity with NLP/AI generated data outputs.

• Possess strong written and verbal communication skills.
• Highly organized with the ability to prioritize, balance, and effectively advance multiple competing priorities in a high‑volume, fast‑paced environment.
• Ability to interact in a professional and collaborative manner with fellow Dynanet teammates and clients, and business partners we work with.
• Ability and desire to challenge and educate yourself to support and advance IT services delivery in the federal agencies we serve.
• Excellent judgment and creative problem‑solving skills.
• Respond to team member and client requests via email, MS Teams, or other communication means during core business hours.
• Active listening skills to understand clients' needs and collaboration skills to work with other developers and designers.

• Bachelor's degree in data science, analytics, computer science, or related field.
• 7+ years of experience in data analysis, business intelligence, or analytics strategy.
• Demonstrated experience in analytics, BI, or data modeling.
• Experience working with federal agencies and understanding federal IT policies.