Top Hybrid Data Analysis Jobs

Analyzes logistics and fulfillment data to support business decisions and continuous improvement. Develops standardized reporting, dashboards, visualizations, KPI tracking, and scenario analysis across Safety, Quality, Delivery, Cost, and Growth metrics. Uses structured and unstructured data to deliver descriptive, diagnostic, predictive, and prescriptive insights. Trains users on reporting tools, identifies business priorities, and communicates actionable recommendations to leaders. The role is hybrid and requires up to 5% travel.

Leads the Emerging & Established Marketing Analytics insights function, building and coaching an analyst team while owning full-funnel performance narratives across brands and markets. Translates experimentation and measurement outputs into recommendations, delivers executive-level insights, manages senior stakeholders, establishes scalable analytical frameworks, and partners cross-functionally with Marketing, Product, Finance, Data Science, BI, and Operations.

Lead and mentor a product analytics team that diagnoses product performance, evaluates launches, defines trusted KPIs, and drives strategic decisions. Oversee rigorous experimentation, causal inference, cohort analysis, metric governance, and telemetry standards. Partner with Product, Engineering, Marketing, Growth, Design, and Finance leaders to translate analysis into recommendations. Promote AI-native workflows using tools such as Claude Code while ensuring analytical quality, code validation, and clear executive communication.

Leads complex business and data analysis across multiple sources to identify insights, risks, and opportunities. Partners with stakeholders to define business needs, improve processes, develop reports and dashboards, and recommend solutions. Coordinates project workstreams, monitors outcomes, supports change initiatives, and communicates findings to management. Ensures accurate, timely, well-documented deliverables aligned with business priorities, policies, and regulatory requirements.

Develop quantitative market insights through market sizing, forecasting, competitive intelligence, segmentation, and trend analysis. Build analytical models using internal and external data, manage market research engagements, and translate findings into strategic recommendations. Partner with Marketing, Finance, Strategy, and other stakeholders while creating executive-ready presentations and scalable market insights processes.

Aggregates enterprise data, builds advanced financial models, and delivers analytics, dashboards, reports, and executive insights supporting growth initiatives. Develops conversational and workflow agents using Claude, Microsoft Copilot Studio, Snowflake, and Salesforce; automates reporting and data distribution; and partners with stakeholders to define requirements. The role leads analytical projects from ideation through executive presentation and supports forecasting, advisor economics, growth ROI, and operational efficiency initiatives.

Leads market sizing, forecasting, competitive intelligence, segmentation, and quantitative analysis for Stryker Medical. Develops market models, evaluates trends and opportunities, conducts primary and secondary research, manages external research vendors, and translates complex data into executive-ready insights. Partners with Marketing, Finance, Strategy, Business Development, and other stakeholders to support strategic planning, portfolio decisions, and growth initiatives while establishing scalable market-insights processes and tools.

Lead global strategic intelligence activities, including market and competitive analysis, industry and geographic assessments, market-share reporting, executive presentations, third-party analyst submissions, and annual market updates. Partner with business units, executives, sales, marketing, finance, and external organizations to develop actionable insights. Manage strategic intelligence projects, improve reporting processes, maintain the market intelligence portal, and support AI and data visualization capabilities.

Analyzes complex insurance data and business processes to develop reporting, data models, proprietary tools, and analytical solutions. Partners with internal teams, agents, and customers to gather requirements, communicate insights, improve processes, and support business growth. The role includes project management, report design, database modeling, quality review, stakeholder presentations, and mentoring less experienced team members.

Leads discovery and requirements gathering for enterprise data solutions, translating business needs into user stories, acceptance criteria, source-to-target specifications, and data workflows. Partners with engineering, architecture, governance, analytics, and business teams throughout delivery. Coordinates validation, reconciliation, testing, defect resolution, and stakeholder approvals while managing risks and dependencies. Documents data lineage, integrations, quality expectations, and reporting needs, and mentors analysts and cross-functional partners.