Top Hybrid Data Analysis Jobs

The Senior Data Analyst will source, validate, and reconcile data supporting forecasting, purchasing, inventory planning, and reporting. Responsibilities include auditing forecasts and operational outputs, identifying data quality issues, rating results, automating recurring checks and workflows with AI, documenting planning processes, and integrating tools with merchandising and operating systems. The role collaborates with planning, merchandising, sourcing, logistics, eCommerce, wholesale, and finance teams to deliver reliable, decision-ready data.

Reviews annotated sensor and map data for quality, identifies recurring issues, and recommends solutions. The role prepares reports, maintains annotation policies, develops training documentation, performs data annotation, tests internal tools, reports bugs, and creates visual assets. It also collaborates with stakeholders, partners, annotators, project managers, and engineers while supporting on-road operations and evolving program priorities.

Teaches undergraduate and graduate business analytics courses in hybrid formats. Develops syllabi, lesson plans, course materials, assignments, and exams aligned with learning objectives. Facilitates student learning through face-to-face and online instruction, grades consistently, provides timely feedback, and integrates responsible AI use into teaching. Participates in faculty training and ongoing professional development.

Leads people analytics partnerships supporting Talent Acquisition and Sales & Services HR. Solves complex business problems through quantitative and qualitative analysis, translates insights into actionable recommendations, influences senior leaders, and shapes analytics and product roadmaps. The role also ensures data accuracy, scalability, cross-functional collaboration, and alignment with organizational growth priorities.

Manage end-to-end qualitative and quantitative public affairs and corporate reputation research projects. Responsibilities include survey and screener development, research analysis, presentations, client relationship management, qualitative moderation, project fielding, timeline coordination, team mentoring, proposal development, and strategic recommendations.

The Data Analyst will lead end-to-end analytical projects, build scalable datasets and semantic layers, maintain trusted reporting, automate workflows, evaluate experiments, analyze customer economics, and deliver strategic recommendations. The role partners with engineers and business leaders, translates ambiguous problems into analytical roadmaps, uses SQL and modeling tools, and applies modern AI-assisted workflows with rigorous validation.

Serve as a strategic analytics partner across Product, Growth, Engineering, Design, and Leadership. Define KPIs, measurement frameworks, experimentation strategies, and A/B tests; build executive dashboards and scalable dbt datasets; deliver product and marketplace insights; manage technology-category and vendor data; research cybersecurity and AI markets; and use LLMs to improve workflows and enrich the product database.

Remote research internship supporting semiconductor and AI industry analysis: data collection, market research, basic financial modeling, preparing reports and presentations, attending team meetings, and developing research skills with mentorship and feedback.

Analyzes unstructured customer feedback using text analytics, NLP, LLMs, SQL, Python/R, and BigQuery to identify sentiment, root causes, trends, and customer experience opportunities. Owns feedback taxonomies, models, workflows, and validation standards; connects feedback with behavioral and operational data; delivers business recommendations and executive storytelling; partners cross-functionally on measurement strategy and roadmaps; and mentors junior analysts.

Business Analyst partners with stakeholders and developers to analyze requirements, improve business processes, and implement IT system solutions. Responsibilities include functional documentation, data flows, end-to-end testing, User Acceptance Testing, application support, access issue resolution, reporting and visualizations, user training, and project participation. The role requires SDLC experience, business analysis or software implementation experience, strong communication, project management, and familiarity with Agile and waterfall methodologies.