Top Data & Analytics Jobs

Develops and maintains dashboards, reports, and data visualizations supporting manufacturing and supply chain operations. Analyzes operational data, validates data integrity, investigates discrepancies, supports forecasting and KPI initiatives, and identifies process improvement opportunities. Partners with manufacturing leaders and cross-functional stakeholders to gather requirements and translate complex data into actionable insights. Maintains reporting documentation, improves data accessibility, and provides guidance to less experienced analysts.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Conduct quantitative research for high-frequency trading strategies across global markets. Responsibilities include processing data, generating signals, building statistical and machine learning models, simulating and calibrating strategies, and developing research pipelines and simulation environments. The role requires collaboration with experienced traders and researchers to deliver measurable trading performance and well-documented production-quality code.

Develop statistical, machine learning, and deep learning models to measure the impact of pharmaceutical HCP, DTC, and Medical Affairs campaigns. Partner with internal and external clients, provide analytical insights and methodological guidance, consult with sales and market research teams, and coach an offshore analytics team. The role requires applying causal inference, healthcare and pharmaceutical data expertise, and clear communication of findings to clients and executives.

Analyzes international trade data, delivers insights to leadership, supports system modernization and process improvements, resolves user issues, and partners with IT on testing. Develops training materials and documentation for the Global Trade Management system while translating trade regulations and business requirements into effective workflows.

Leads a team of five statisticians and data scientists while establishing experimentation standards across R&D. Owns end-to-end Design of Experiments strategy, advanced statistical modeling, decision-ready analytics, and reusable analytical tools. Partners with product development, process development, quality, and operations to improve product and process robustness. Coaches R&D teams, strengthens data and measurement discipline, and drives statistical rigor in a matrixed environment.

Senior Data Analyst responsible for translating media, audience, and client data into actionable insights and strategic recommendations. The role includes audience segmentation and modeling, competitive and seasonal analysis, performance measurement, dashboard reporting, SQL and BigQuery workflow automation, client presentations, and cross-functional collaboration. The analyst will represent Data Strategy with clients, support audience product activation, provide thought leadership, and mentor junior analysts.

Partners with product, business, content operations, and data teams to define measurement frameworks, analyze media production workflows, build prototypes and dashboards, strengthen data models, and provide data-driven insights for strategic decisions. The role focuses on measuring GenAI-enabled production improvements, operational efficiency, creative flexibility, and innovation impact while influencing stakeholders and leadership.

Internship data analyst supporting dashboard monitoring, user behavior and content ecosystem analysis, A/B test evaluation, campaign performance analysis, data quality assurance, and metric documentation. The role uses SQL and Excel to derive insights on engagement, retention, conversion, and creator ecosystems, while collaborating with product and operations teams in a blockchain and digital assets environment.

Lead client-facing analytics implementations across Google Analytics 4, Adobe Analytics, and tag management systems. Responsibilities include designing measurement strategies, auditing digital ecosystems, managing tagging and consent platforms, developing data governance and privacy solutions, analyzing performance, aligning KPIs with business goals, presenting insights, supporting proposals, and improving internal analytics standards. Preferred experience includes server-side tagging, data clean rooms, customer data platforms, experimentation, CRM systems, and ETL tooling.