Top Tech Jobs & Startup Jobs

Build and maintain interactive Qualtrics dashboards for market research, brand tracking, customer tracking, and multi-wave studies. Develop KPI scorecards, funnels, trend charts, competitive comparisons, segmentation views, and dynamic filters. Manage survey data, weighting, significance indicators, longitudinal reporting, and dashboard quality assurance. Translate client requirements into intuitive visualizations, support Qualtrics survey programming and customization, present dashboards to stakeholders, and incorporate feedback.

Lead enterprise AI enablement initiatives spanning AI strategy, tool evaluation, workflow automation, product and agent development, testing, rollout, adoption, documentation, and upskilling. Partner with technology, product, compliance, IT, vendors, and business teams to assess AI tools, develop solutions, guide responsible usage, and deliver measurable business impact.

Lead data analysis, reporting, and storytelling for Health Insurance clients. Design studies and surveys, ensure questionnaire quality, analyze results, collaborate with client teams, and produce clear, actionable deliverables on schedule.

Consults with clients to define business objectives, design qualitative and quantitative research plans, analyze consumer insights, and develop actionable recommendations. The role manages client projects, scopes timelines and costs, creates compelling visual reports, presents findings, builds client relationships, and identifies opportunities to deepen accounts.

Supports recruitment project delivery for online communities by coordinating site setup, screener development, testing, suppliers, fieldwork, quotas, reporting, participant communications, and project closeout. Reviews data for accuracy and quality, maintains privacy and compliance standards, troubleshoots issues, and escalates risks. The role requires strong organization, communication, Excel skills, attention to detail, and the ability to manage multiple priorities.

Design, build, and maintain Python-based AI applications and intelligent workflows. Integrate AI/ML models and LLM APIs, implement APIs and microservices, optimize data pipelines, ensure scalability, security, CI/CD, and collaborate across teams to deliver production-grade AI features.