Top Data & Analytics Jobs

The Senior Business Intelligence Analyst gathers business requirements, develops and supports reports and dashboards, ensures reporting accuracy, and designs ETL processes using SSIS. The role supports data warehouses, data marts, data modeling, testing, troubleshooting, data quality improvements, and business analytics. It requires collaboration with business units and technical teams to deliver actionable intelligence and improve reporting solutions.

Collects, enters, validates, and maintains property-level ESG and utility data for assigned client portfolios. Coordinates with property managers, utility companies, and vendors; updates ENERGY STAR Portfolio Manager; monitors data quality and timeliness; resolves routine discrepancies; supports onboarding, training preparation, reporting workflows, and property offboarding. The role emphasizes accurate execution of established processes, documentation, communication, and escalation of exceptions.

Supports institutional planning, accreditation, regulatory reporting, and decision-making by collecting, validating, analyzing, and communicating higher education data. Produces recurring and ad hoc reports, dashboards, visualizations, and survey analyses; conducts data-quality checks; documents methodologies; responds to approved data requests; and collaborates with academic and administrative stakeholders to improve reporting accuracy and consistency.

Manages JCB North America’s marketing database and integrations between Salesforce, Oracle Eloqua, and enterprise systems. Develops Apex, Python, and SQL scripts for data aggregation, cleansing, transformation, enrichment, and automation. Maintains Eloqua data structures, segmentation, suppression processes, and database hygiene. Monitors data quality, optimizes performance, supports campaign and reporting needs, troubleshoots integrations, and documents data processes while ensuring customer data integrity, security, and compliance.

Build trusted data models, define metrics, ensure data quality, conduct analyses, and create dashboards supporting Product, Finance, GTM, executives, and customers. Present actionable insights, connect GA4, Google Search Console, and AI Search data to business outcomes, and develop reusable reporting frameworks. The role requires strong SQL, AI-assisted analytics, customer communication, and comfort operating in a fast-growing startup.

Supports enterprise applications, business systems, data platforms, and business intelligence solutions. Analyzes user needs, defines requirements, develops reports and dashboards, troubleshoots system issues, maintains security roles, documents processes, and coordinates projects with internal teams and external vendors. The role focuses on Microsoft Dynamics 365 CRM, data analysis, enterprise application support, process improvement, and translating business requirements into effective technology solutions.

Analyze market and live data to set dynamic ticket prices using Uptick, build strategic pricing recommendations, communicate with clients about strategy and performance, and collaborate with BI and engineering to improve product performance.

Leads LTK’s Data Engineering team, owning technical direction, architecture, pipelines, data products, governance, quality, reliability, and platform modernization. Manages and develops engineers, drives roadmaps and complex initiatives, partners with cross-functional stakeholders, and balances scalability, security, performance, cost, and business priorities. Establishes engineering standards, improves operational practices, manages risks and dependencies, and builds trusted, reusable data capabilities supporting analytics, reporting, products, and AI use cases.

Produce Salesforce-based sales analytics and reporting to improve forecast accuracy, pipeline visibility, territory coverage, and sales productivity. Build dashboards, track conversion and cycle metrics, maintain CRM data quality, support quota and territory planning, and present insights to sales leadership.

Deliver strategic reporting and insights to executives and the Board; develop and track KPIs; build dashboards and visuals; perform ad hoc and project-based analyses; support forecasting, financial modeling, and data stewardship across the organization.