Mid-Level Forward-Deployed Data & Analytics Specialist

• Lead client meetings to understand their data and analytics needs, challenges, and objectives
• Gather and document requirements, translating business needs into solution scopes and specifications
• Develop and configure data visualization solutions and dashboards
• Use platform capabilities to structure agents, workflows, and features that support analytics projects
• Work with data and metrics to build visualizations aligned with client objectives
• Coordinate requests with internal development teams for more complex technical implementations
• Track project schedules, deliverables, open items, and progress
• Present status updates to clients, answer questions, and align expectations
• Gather feedback and propose adjustments to implemented solutions
• Document requirements, scopes, decisions, and relevant information needed to execute projects
• Contribute to the continuous improvement of delivered processes and solutions

• Experience or practical knowledge in Data Analytics, Business Intelligence (BI), data engineering, or related fields
• Knowledge of SQL
• Familiarity with data visualization and dashboard-building tools, such as Power BI
• Understanding of data analysis and interpretation fundamentals
• Ability to understand business requirements and translate them into technical or functional solutions
• Interest in or practical experience with artificial intelligence, AI agents, or solutions integrating AI and data
• Strong communication skills for leading meetings, gathering requirements, and presenting solutions to clients
• Strong organizational skills for managing projects, deadlines, deliverables, and multiple demands simultaneously
• Analytical, proactive, and problem-solving mindset
• Functional English proficiency for written communication and participation in internal meetings
• Preferred: experience with Data Engineering, Data Warehousing, Data Lakes, or ETL processes
• Preferred: knowledge of Python for data manipulation or solution integration
• Preferred: familiarity with cloud computing and data architectures
• Preferred: experience delivering data projects for enterprise clients, particularly large organizations
• Preferred: experience with SaaS platforms, AI agents, or intelligent automation

• Remote work
• Independent contractor engagement (PJ)