BuzzClan LLC

Information Technology And Services

DataAnalyst

Houston, Texas, United States CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Analyst at BuzzClan LLC. Skills: AI, Machine Learning, Data Analytics, Business Intelligence. Lead AI/ML model development. Build predictive analytics solutions”

What You'll Achieve.

Improve resident services; Increase operational efficiency; Strengthen community trust; Support evidence-based policymaking; Improve service quality; Enhance transparency; Deploy AI safely and effectively; Ensure AI tools are ethical, transparent, secure; Align AI tools with community priorities; Improve services; Reduce costs; Strengthen community outcomes; Support real-time decision-making; Support operational readiness; Support transparency; Support executive briefings

Industry & Context.

Information Technology And Services
Problems you'll solve

Advanced analytics; Artificial intelligence solutions

What They're Looking For.

Must Have

Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, Mathematics, or a related field, 4+ years of experience in data analytics, business intelligence, data science, or AI/ML development, experience with machine learning, predictive analytics, NLP, and AI solution development, Proficiency in Python, SQL, and data visualization tools such as Power BI, Experience with cloud platforms, MLOps practices, and model deployment frameworks, understanding of data governance, responsible AI principles, and cybersecurity best practices, Experience building dashboards, KPIs, and executive reporting solutions

What You'll Do.

Lead AI/ML model development

Build predictive analytics solutions

Create AI-powered automations

Maintain data quality standards

Create automated reports

Build data visualizations

Integrate AI insights into reporting

Develop Business Intelligence solutions

How You'll Work.

Team & Collaboration

Partner with IT and Cybersecurity teams; Support development of AI ethics guidelines; Identify opportunities to use AI; Translate complex analytics; Provide mentorship and technical guidance

Communication Scope

Translate complex analytics into clear, actionable insights; Provide mentorship and technical guidance

Process & Methodology

End-to-end model development, Model risk management practices, MLOps pipelines

Full Job Description

Sr. Data Analyst Location: Houston, TX 77002 Contract Work /Schedule: 8am-5pm, Hybrid (3 days in office, 2 days WFH) PPA #: 13644 Project and Requirements Required The Senior Data Analyst (AI) leads the development, deployment, and governance of advanced analytics and artificial intelligence solutions that drive data-informed decision-making. This role helps the organization use data and AI responsibly to improve resident services, increase operational efficiency, strengthen community trust, and support evidence-based policymaking. The work produced directly impacts service quality, transparency, and the Client’s ability to deploy AI safely and effectively. The Senior Data Analyst (AI) blends deep analytical expertise with a practical understanding of public sector operations, ensuring AI tools are ethical, transparent, secure, and aligned with community priorities. This position is instrumental in modernizing government operations and advancing enterprise AI capabilities. Role and Responsibilities of the Resource Request Required AI & Advanced Analytics * Build machine learning models, predictive analytics solutions, NLP tools, and AI-powered automations. * Lead end-to-end model development, including data acquisition, feature engineering, training, validation, deployment, and monitoring. * Apply responsible AI frameworks to ensure fairness, transparency, explainability, and accountability. Data Strategy & Governance * Maintain data quality standards, metadata practices, and robust model documentation. * Partner with IT and Cybersecurity teams to ensure secure handling of sensitive and regulated data. * Support development of AI ethics guidelines, model risk management practices, and enterprise data governance initiatives. Cross-Department Collaboration * Identify opportunities to use AI to improve services, reduce costs, and strengthen community outcomes. * Translate complex analytics into clear, actionable insights for executive leadership and non-technical audie

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