Top Data & Analytics Jobs

Performs senior business analysis for complex technology and reporting projects. Gathers and documents requirements, evaluates business processes, supports user acceptance testing, analyzes data and errors, documents data flows, develops reports, and publishes data to public portals and websites. Requires Power BI, Snowflake, and data publishing expertise, along with independent judgment and the ability to maintain quality deliverables and potentially supervise others.

Develops and enhances enterprise Tableau dashboards, writes and optimizes SQL queries, manages imperfect data, troubleshoots performance issues, and performs dashboard testing and validation. The role translates loosely defined requirements into polished, user-friendly dashboards, documents technical changes, communicates risks, and manages multiple enhancements, defects, and ad hoc analysis tasks in Agile/Scrum environments.

Provides GIS mapping, spatial analysis, cartographic production, web maps, dashboards, and geospatial data management for environmental and multidisciplinary projects. Supports field data collection, quality assurance, data conversion, technical troubleshooting, project deliverables, and collaboration across offices. Uses Esri ArcGIS platforms to analyze and present spatial information, mentor colleagues, and deliver client-focused geospatial solutions.

Manage and maintain sales, hierarchy, and agent data within the internal CRM. Analyze recurring reports to identify discrepancies, investigate root causes, detect regional and market trends, and recommend data-integrity improvements. Generate reports using CRM data, Excel, carrier portals, and Monday.com. Ensure accurate information for agents, staff, and carrier partners while communicating insights, best practices, and improvement opportunities to leadership.

Supports market sizing and forecasting models, analyzes market trends and competitive dynamics, and translates data into actionable enterprise insights. Collaborates with global stakeholders across business units, regions, and functions while improving analytical tools, datasets, and methodologies. The role requires expertise in competitor analysis, data analytics, forecasting, market modeling, KPI reporting, and business case analysis.

Designs and leads enterprise data solutions supporting analytics, reporting, and AI. Serves as a design authority across teams, defining data architectures, models, integration patterns, standards, roadmaps, and secure scalable platforms. Translates business objectives into technical designs, influences stakeholders, guides build-versus-buy decisions, mentors engineers and architects, and ensures solutions meet governance, compliance, reliability, and operational requirements.

Design, build, and maintain reliable ETL/ELT pipelines, data models, warehouses, lakes, and databases. Implement data quality, monitoring, cleansing, and security practices while supporting AI-ready data capabilities and analytics initiatives. Collaborate with architects, analysts, business stakeholders, vendors, and consultants to translate requirements into scalable technical solutions. Document processes, troubleshoot issues, optimize workflows, and manage multiple projects in a deadline-driven environment.

Owns the Source-to-Pay data and analytics foundation, including master data, taxonomy, governance, quality, analytics products, automation, and AI readiness. Leads business requirements, operating models, executive dashboards, KPI frameworks, decision-support insights, and cross-functional platform enablement. Partners with Procurement, Finance, Legal, Risk, IT, and enterprise data teams to improve data reliability, controls, reporting, self-service analytics, and scalable automation.

Lead the design, development, and support of enterprise business intelligence reporting and visualization solutions. Translate stakeholder requirements into scalable semantic models, data layers, reporting architectures, and intuitive dashboards. Manage data transformation and loading processes, security controls, performance optimization, troubleshooting, production support, code reviews, architectural standards, mentoring, and Scrum-based delivery through Jira.

Administer and support Apptio and Cloudability platforms, including data integrations, ingestion, transformation, cost models, allocation logic, reporting, access controls, and data-quality processes. Design enterprise cloud data platforms using Azure, AWS, Snowflake, and Databricks; troubleshoot complex data and model issues; support financial planning and technology cost transparency; implement controlled enhancements; and guide data strategy, governance, security, modernization, and engineering excellence while mentoring teams and engaging executive stakeholders.