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Data Insights Analyst

DescriptionPosition Details: Job Title: Data Insights Analyst Job Type: Full-Time or Contracting Location: Remote Dynanet Corporation Overview: Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future. 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/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. Roles & Responsibilities: 1. Data Analysis & Insight Generation <ul><li>Analyze structured and unstructured data to identify trends, anomalies, and operational insights </li><li>Write Python or R scripts to process, transform, and analyze data </li><li>Perform exploratory data analysis (EDA) to uncover patterns and correlations </li><li>Develop insight-driven summaries and recommendations for leadership </li><li>Identify emerging risks, performance gaps, and opportunities for improvement </li></ul>2. Data Modeling & Field Definition <ul><li>Define data fields, data models, and analytical requirements based on real data </li><li>Validate extraction logic and ensure data structures support reporting needs </li><li>Collaborate with the Solution Architect to refine data schemas and ingestion outputs </li><li>Ensure data quality, consistency, and analytical readiness </li></ul>3. Dashboard & KPI Development <ul><li>Design and build dashboards using Power BI, Tableau, AWS QuickSight, or similar tools </li><li>Propose meaningful KPIs, thresholds, and scoring logic </li><li>Develop visualizations that support executive level situational awareness </li><li>Translate analytical findings into intuitive, decision ready dashboards </li></ul>4. Stakeholder Engagement & Requirements <ul><li>Participate in requirements workshops and stakeholder interviews </li><li>Document analytical needs, reporting expectations, and data dependencies </li><li>Provide insight-driven recommendations to guide system design and prioritization </li><li>Support leadership with briefing materials and analytical narratives </li></ul>Required Professional Skills: <ul><li>7+ years of experience in data analysis, business intelligence, or analytics strategy </li><li>Strong ability to analyze structured and unstructured data </li><li>Proficiency in Python or R for data processing and analysis </li><li>Strong SQL skills and experience working with cloud-based data platforms </li><li>Experience defining data fields, data models, and analytical requirements </li><li>Ability to think like an executive to propose meaningful KPIs and reporting structures </li><li>Experience designing dashboards and visualizations (Power BI, Tableau, AWS QuickSight, etc.) </li><li>Strong analytical thinking, pattern recognition, and problem-solving skills </li></ul>Preferred Professional Skills: <ul><li>Experience with predictive analytics or statistical modeling </li><li>Experience with AWS, Azure, or cloud-based data tools </li><li>Experience working in federal environments </li><li>Familiarity with NLP/AI generated data outputs </li></ul>Dynanet Team Requirements and Expectations: <ul><li>Possess Strong written and verbal communication skills. </li><li>Highly organized with the ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment. </li><li>Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with. </li><li>Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve. </li><li>Excellent judgment and creative problem-solving skills. </li><li>Respond to team member and client requests via email, MS teams, or other communication means during core business hours. </li><li>Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers. </li></ul>Education/Experience Requirements: <ul><li>Bachelor's degree in data science, analytics, computer science, or related field </li><li>7+ years of experience in data analysis, business intelligence, or analytics strategy </li><li>Demonstrated experience in analytics, BI, or data modeling </li><li>Experience working with federal agencies and understanding federal IT policies </li></ul>Employee Benefits Overview: <ul><li>Industry Competitive Compensation </li><li>Medical and Dental Insurance </li><li>Paid Time Off/Holidays </li><li>401(k) Retirement Plans with Matching </li><li>Remote Work* </li><li>Paid Training </li><li>Employee Referral Program </li><li>Employee Development Program</li></ul>

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