Data Insights Analyst

Dynanet Corporation

1d•Remote

About The Position

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/R and SQL, and the ability to think like an executive to propose KPIs, thresholds, and insight driven recommendations. This role with continuity into future development phases, including advanced analytics and predictive modeling.

Requirements

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 QuickSight, etc.)
Strong analytical thinking, pattern recognition, and problem-solving skills
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 the clients, and business partners that 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

Nice To Haves

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

Responsibilities

Data Analysis & Insight Generation
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
Data Modeling & Field Definition
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
Dashboard & KPI Development
Design and build dashboards using Power BI, Tableau, AWS QuickSight, 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
Stakeholder Engagement & Requirements
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