Top Data & Analytics Jobs

Manage and validate large datasets across investment operations, including daily and monthly cash and position reconciliations, security and pricing data maintenance, data pipelines, and ETL processes. Support compliance monitoring, resolve discrepancies, improve operational workflows, and collaborate with custodians, clients, counterparties, vendors, and internal teams. The role requires strong analytical skills, attention to detail, Excel expertise, and experience in investment operations or financial services.

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.

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.

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.

Own the go-to-market data infrastructure, integrating HubSpot, Dreamdata, advertising platforms, PostHog, and website data into BigQuery. Diagnose tracking and attribution discrepancies, configure multi-touch revenue attribution, and build executive dashboards covering channel performance and revenue. Develop ABM workflows using Clay, enrichment, behavioral signals, and AI personalization. Partner with sales and marketing to improve funnel visibility, campaign decisions, and outbound effectiveness.

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.