Top Data & Analytics Jobs

Designs, builds, and maintains scalable data pipelines, data models, and platform infrastructure supporting enterprise reporting, analytics, and AI-driven decisions. Responsibilities include ingesting SaaS application data, developing medallion architecture layers and dbt transformations, implementing data quality monitoring, enforcing governance and access controls, and delivering reusable semantic data assets. The role collaborates with analytics, BI, and business teams, participates in Agile delivery, evaluates modern data-stack tools, and promotes engineering excellence through testing, documentation, and code reviews.

Leads complex business analysis initiatives by researching processes, eliciting and validating requirements, developing business cases, evaluating solutions, and monitoring outcomes. Collaborates with business and technical stakeholders to improve products, services, software, and operations. Manages requirements activities, scope, risks, priorities, data quality, governance, and continuous improvement. Mentors business analysts and promotes responsible adoption of AI-enabled solutions.

Designs and supports claims data pipelines, integrations, ETL/ELT processes, reporting infrastructure, BI architecture, and automation solutions. Develops claims data models and analytics for segmentation, triage, assignment, and workflow optimization. Supports cloud platforms, AI-enabled predictive analytics, governance, validation, system integrations, testing, and deployment. Partners with Claims, IT, Finance, SIU, and Data teams to improve data accessibility, operational visibility, and reporting accuracy.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

Leads a data engineering team responsible for enterprise data platforms, lakehouse architecture, production pipelines, governance, security, reliability, and operational excellence. Combines people leadership with hands-on technical guidance across AWS, Snowflake, SQL, Python, data quality, observability, and compliance. Partners with scientific, clinical, product, analytics, security, and IT teams to deliver scalable, trusted data capabilities while managing priorities, technical debt, vendors, and team development.

Owns the end-to-end health of a client’s enterprise data estate across legacy and modern platforms. Leads governance, SLAs, incident and problem management, data architecture standards, monitoring, data quality, and cross-party resolution. Establishes AIOps, intelligent observability, predictive failure detection, and self-healing automation while managing client stakeholders, demand governance, service reporting, and implementation roadmaps.

Conduct market, competitor, financial, and industry research for the Technology, Media, and Telecommunications practice. Identify prospects, support business development proposals, provide account intelligence, and translate quantitative and qualitative analysis into actionable insights. The role also supports AI-powered research tools and workflows, collaborates with senior leaders, and delivers executive-ready communications in a fast-paced consulting environment.

Analyzes large clinical and financial datasets, develops dashboards, reports, ETL processes, automation tools, and scalable analytical solutions. Manages data across databases, ensures data quality and security, interprets results using statistical and data-mining techniques, and collaborates with clients and business leaders to define analytical needs. The role also supports healthcare data projects, client presentations, process improvements, and ongoing development of software, data manipulation, and healthcare analytics expertise.

Design, build, and maintain scalable data pipelines, data models, and analytics solutions using Microsoft Fabric and Azure. Develop Lakehouse and Warehouse architectures, Fabric Notebooks with PySpark and Spark SQL, ETL/ELT workflows, and Power BI semantic models. Optimize performance, ensure data quality, security, governance, and regulatory compliance, and collaborate with analysts, data scientists, and business stakeholders to support business intelligence and advanced analytics.