Top Data & Analytics Jobs

Collaborates with implementation and development teams to gather, cleanse, organize, and map financial data. Analyzes patterns and business insights, builds reports and visualizations, supports financial database and system development, and participates in change and release management.

Leads analytics strategy, reporting, and data product delivery while managing an analytics team and portfolio. Designs scalable solutions, performs complex analysis, validates data, resolves issues, and provides executive reporting. Establishes analytics standards, roadmaps, prioritization, and operating processes; partners across operations, clinical, finance, compliance, and technology. The role improves insight quality and speed, reduces manual work, strengthens data trust, and supports business decision-making.

The Data Engineer II builds and maintains data ingestion, integration, storage, transformation, and orchestration workflows across hybrid data environments. Responsibilities include developing data models, optimizing pipelines, ensuring data quality, managing metadata and lineage, applying security controls, troubleshooting operational issues, and supporting analytics and reporting. The role collaborates with Product, IT, business teams, and analysts, delivers features using Agile practices, documents solutions, and mentors less experienced team members.

The Lead Data Engineer will architect and develop reporting solutions, integrate AI, analyze complex datasets, and mentor team members to enhance data-driven decision-making.

Partners with public safety agencies to understand operational needs, document business processes and requirements, configure SaaS solutions, assess feasibility, and deliver implementations. Designs and administers user acceptance testing and training, translates requirements into technical configurations, troubleshoots issues, and applies software deployment best practices. Requires customer collaboration, process improvement, change management, and experience with SaaS implementation and law enforcement.

Develops and leads end-to-end business intelligence, reporting, database, data warehouse, and analytics solutions for internal stakeholders and leadership. Builds Power BI dashboards, reports, metrics, scorecards, and SQL-based solutions; transforms complex healthcare and business data into actionable insights. Provides technical leadership in data architecture, modeling, process improvement, project delivery, stakeholder communication, team coaching, and decision support.

Leads and develops a team of data analysts supporting academic and institutional stakeholders. Translates business needs into analytics solutions, oversees complex initiatives, and delivers dashboards, forecasts, reports, and insights. Partners with data engineering teams to improve data sources and pipelines, communicates findings through visualization and storytelling, and supports KPI development, data literacy, governance, and student-outcome improvement.

Supports corporate research, enterprise risk management, and strategic project management through data collection, analysis, visualization, reporting, market research, documentation, and project coordination. The intern organizes structured and unstructured data, prepares dashboards and reports, tracks project tasks, schedules meetings, maintains files, and summarizes insights. The role is designed for a collaborative student pursuing a relevant bachelor’s degree.

Supports data integration development and validation by analyzing ETL processes, aligning business requirements with integration solutions, testing and diagnosing defects, and ensuring data integrity and security. Collaborates with integration developers using Agile methods and participates in project planning and requirements reviews. The role is intended for a current bachelor's student in computer science, data engineering, data science, informatics, or a related field.

Build, maintain, and improve reliable data pipelines for hardware observability and infrastructure telemetry. Develop schemas, ETL processes, validation checks, and pipeline tooling; monitor data quality; investigate pipeline issues; document data definitions and lineage; and participate in code reviews, testing, deployments, change management, and incident response.

The Senior Data Engineer will build data pipelines and infrastructure, modernize legacy systems, and ensure data reliability for analytics at ABCorp.

The Senior Analytics Engineer will strategize data initiatives for secure payment solutions, crafting data models and KPIs while collaborating cross-functionally to enhance product insights and analytics capabilities.