Top Data & Analytics Jobs

Analyze and resolve healthcare data quality issues across claims, EHR, and lab datasets. Design, implement, and monitor data quality assurance processes; investigate anomalies; assess data completeness, consistency, and accuracy; support customer issue resolution; identify data product bugs; and coordinate fixes with Engineering. The role also manages data issue workflows and improves monitoring for incoming source data while using SQL, Python, databases, version control, and AI tools.

Supports the Data team with data cleaning, integration, visualization, and reporting to improve operational efficiency and decision-making. Collaborates with IT professionals, analysts, and cross-functional teams while gaining hands-on experience with data tools and professional workflows.

Analyze paid media performance across Display, Search, and Social channels; extract and interpret data from CM360, SA360, GA4, and Meta Ads; build dashboards in Looker Studio and Tableau; manipulate large datasets using SQL and Excel; monitor ROI and campaign performance; and develop scalable reporting tools that turn data into actionable insights.

Leads marketing experimentation, conversion optimization testing, incrementality analysis, marketing mix modeling, and statistical measurement programs. Designs rigorous experiments, manages SQL-based testing databases, validates data, develops executive reporting, and translates complex findings into investment and marketing recommendations. Partners with marketing, product, technology, analytics, and executive teams while potentially mentoring junior analysts.

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.

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.