Top Data & Analytics Jobs

Leads market intelligence for global data center and power generation markets. Monitors industry and competitor trends, develops forecasts, conducts market analyses, manages intelligence resources and external vendors, and translates complex information into strategic recommendations. Partners with business leaders on investment, portfolio, growth, and long-term planning decisions while supporting strategic projects and mentoring analysts.

Performs recurring quality checks on commercial life sciences datasets, investigates anomalies, validates data ingestion and integrations in Databricks, maintains data dictionaries and lineage documentation, and collaborates with stakeholders and vendors to resolve issues. Supports governance standards, ad hoc analysis, reporting, training, automation, and continuous improvement of commercial data quality processes using SQL and data observability tools.

Assesses financial risks and potential losses from natural and man-made catastrophes using statistical models, historical data, and predictive analytics. The role evaluates datasets, develops catastrophe models, prepares risk reports, supports insurance pricing and portfolio management, monitors climate and regulatory developments, improves risk technology, and contributes to mitigation and emergency response planning.

Designs, produces, and maintains recurring and ad hoc reports and dashboards for Client Relations. Analyzes data, identifies trends, ensures reporting accuracy, recommends process improvements, and supports data-driven decisions. The role also provides customer support, assists with system enhancements and QA/UAT activities, presents findings to stakeholders, and manages multiple deadlines with limited supervision.

Supports institutional research through data reporting, analytics, database and report maintenance, data requests, and state and federal submissions. Develops and validates reports, resolves data issues, and provides analytical and technical support for surveys, accreditation, grants, and strategic initiatives. Collaborates with college departments to ensure data accuracy and reporting compliance.

Leads enterprise contact center demand forecasting, staffing models, and capacity planning across multi-skill, multi-channel operations. Partners with Operations, HR, and Finance to guide workforce strategy, hiring, budgets, service levels, and executive decisions. Develops long- and short-term forecasts, translates complex data into actionable insights, improves planning processes, and influences stakeholders through data-driven recommendations and change management.

Supports revenue operations, sales leadership, finance, and executives through dashboards, KPI reporting, quantitative models, sales compensation administration, forecasts, and operational insights. Builds SQL and Excel models, maintains datasets and ETL pipelines, develops Power BI visualizations, identifies performance trends, manages commission cycles, and coordinates targets and reporting with Finance and IT.

Analyzes complex quality and operational datasets, identifies trends, develops metrics, reports, visualizations, and data collection systems, and supports data-driven decision-making. The role documents data lifecycles and sources, advises business partners on data models and analysis, and contributes to continuous improvement initiatives within a regulated pharmaceutical or biotechnology environment.

Conducts deep-dive market analyses covering supply, demand, pricing, competition, regulation, and growth trends. Builds market models, forecasts, dashboards, and executive presentations from public, industry, customer, and internal data. Identifies strategic opportunities, risks, sustainability impacts, and value creation possibilities, then communicates recommendations to senior leadership. The role serves as commercial-team bench strength with a potential path into account management.

Analyze web performance using GA4, manually extract data, and produce quarterly, ad hoc, and cross-channel reports. Design and document event-based measurement plans, implement and debug tracking through Google Tag Manager, validate data layers and event schemas, configure custom definitions, and build GA4 Explorations. Translate attribution, traffic, user behavior, and performance trends into actionable insights for technical and non-technical stakeholders.