Top Data & Analytics Jobs

Leads the analytics function, establishes trusted KPIs and self-service reporting, and translates customer, operational, and financial data into executive recommendations. Oversees Looker reporting, data quality, analytics strategy, predictive use cases, profitability analysis, planning models, and cross-functional resource allocation. Coaches analytics staff and partners with Data Engineering and business leaders to identify growth opportunities, risks, and operational improvements.

Leads the design, development, maintenance, and implementation of complex ETL pipelines across structured and unstructured data sources. Establishes scalable, metadata-driven integration patterns, improves data quality and maintainability, performs root-cause analysis, and supports secure data solutions. Collaborates with stakeholders, maintains ETL platforms and cloud services, advances engineering best practices, and mentors team members.

Conduct market, competitive, customer, product, industry, and performance analysis to support data-driven decisions across Lifecycle Services. Develop market insights and plans, guide go-to-market activities, monitor competitors, build cross-functional data-sharing programs, and support voice-of-customer, partner, and employee research. Collaborate with product management, marketing, sales, and global teams while using AI-based tools and quantitative and qualitative research methods.

Lead data management across batch and streaming environments; design and maintain ETL pipelines; develop Databricks and Apache Spark solutions; manage real-time processing, data transformation, routing, and enrichment; optimize storage and retrieval performance; support data security and compliance; and document processes. The role requires expert Databricks knowledge and technical leadership while collaborating with security, data science, and AI engineering teams.

Administer and implement enterprise database platforms across Google Cloud and other cloud environments. Manage SQL Server, BigQuery, Cloud SQL, security, backups, monitoring, performance tuning, query optimization, schema design, data pipelines, cost optimization, and governance. Provide technical support, troubleshoot incidents, manage releases and database-as-code, respond to on-call issues, and collaborate with IT and application teams. Improve operations through automation and AI tools while documenting solutions and supporting users.

Manage and enhance Technolutions Slate functionality for University Advancement, including portals, dashboards, queries, reports, forms, workflows, and email templates. Build segmented analytics and KPI dashboards, troubleshoot reporting issues, support data-driven decision-making, maintain data governance, and provide user training and technical support. The role requires collaboration with campus stakeholders, confidentiality, independent judgment, and ongoing knowledge of Slate product updates.

Lead data analysis for product and customer decision-making by defining metrics, measuring adoption, engagement, retention, and customer health, and translating complex data into actionable insights. Partner with product, engineering, customer success, and sales teams; automate and improve data processes; support product strategy and customer reviews; strengthen data governance; and mentor analysts.

Leads enterprise performance and analytics strategy, including Business Intelligence, executive dashboards, KPI governance, reporting automation, data standards, and decision support. Partners with Finance, IT, and business leaders to improve forecasting, planning, operational performance, and value creation. Oversees Power BI and Microsoft Fabric initiatives, enterprise reporting architecture, mergers and acquisitions analytics, Board reporting, and self-service reporting. Supervises and develops analytics personnel while promoting enterprise-wide data-driven decision-making.

Develops and maintains insurance pricing and predictive models, analyzes premiums, losses, claims, and exposure data, evaluates profitability and emerging risks, supports rate filings and actuarial analyses, and delivers recommendations to leadership. The role also ensures data integrity, prepares financial reporting, automates workflows, and collaborates with product, actuarial, and business teams to improve pricing strategies and operational efficiency.

Designs, implements, and maintains database solutions across multiple platforms. Analyzes and resolves database issues, reviews and optimizes SQL code, develops indexing and performance-tuning strategies, researches database structures, and implements ETL and reporting solutions using SQL Server SSIS and SSRS. Requires DB2 z/OS and SQL Server expertise, strong communication, documentation, analytical skills, and the ability to manage multiple projects.