Lead analytics and AI initiatives: define strategy, translate business needs into AI/use cases, oversee dashboards and advanced analytics, run ML/LLM pilots, operationalize models, ensure responsible AI governance, and manage and mentor analytics teams while driving stakeholder alignment.
We are seeking a highly skilled and hands-on Data Analytics & AI Consultant to join our team. This role is focused on the design, development, and delivery of advanced analytics and AI-driven solutions that enable data-informed business decision-making. The ideal candidate will possess strong technical expertise in AWS, Python, SQL, Machine Learning, and AI technologies, with a proven ability to build and deploy scalable analytics products. In addition to technical delivery, the Data Analytics & AI Consultant also will serve as a trusted advisor to key business stakeholders. This individual will partner closely with cross-functional teams to translate complex business challenges into practical, data-driven solutions, ensuring that analytics initiatives align with strategic objectives and deliver tangible value.
- Design, build, and deploy machine learning models and predictive analytics solutions.
- Develop AI-powered business intelligence tools, including conversational analytics and chatbot applications.
- Create decision intelligence systems that enhance operational efficiency and support strategic decision-making.
- Leverage AWS cloud technologies to develop scalable, secure, and production-ready analytics solutions.
- Analyze complex business problems and translate them into actionable analytics, AI, and data science initiatives.
- Partner with business leaders and stakeholders to understand requirements and recommend data-driven strategies.
- Communicate technical concepts, methodologies, and recommendations to diverse audiences.
- Drive the end-to-end delivery of analytics solutions, from problem definition through implementation and adoption.
- Strong hands-on experience with AWS, Python, SQL, and Machine Learning.
- Experience building and deploying ML, AI, and advanced analytics solutions in production environments.
- Knowledge of business intelligence, predictive analytics, and decision intelligence frameworks.
- Ability to work directly with business stakeholders and translate requirements into technical solutions.
- Strong problem-solving, communication, and consulting skills.
- Proven track record of delivering high-impact analytics solutions that drive business outcomes.
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
