Top Data & Analytics Jobs

Administers and secures database schemas and objects in client/server environments. Responsibilities include schema design, creation, maintenance, auditing, quality control, access management, database programming, systems design, documentation, and security. Coordinates with infrastructure DBAs to plan long-term requirements, advises users on database access, and supports large-scale database operations across operating systems and programming environments.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Supports the IT team by creating Incorta dashboards and reports from SAP and other source systems. Cleans and prepares data, performs visualization, applies statistical analysis, and identifies trends to generate business insights. The intern communicates technical findings to nontechnical audiences and collaborates on data quality and analytics projects.

Supports finance analytics by extracting and preparing data with SQL, maintaining reporting and reconciliation scripts, checking data quality, and explaining findings. Builds dashboards and data marts, researches unit economics and plan-versus-actual performance, and collaborates with finance, commercial, marketing, and product stakeholders. The role requires BI tools, Excel, business metrics knowledge, and strong analytical communication.

Develops and maintains digital platforms, analytical models, dashboards, and workflows supporting FCC technical services, commercial activities, catalyst optimization, customer monitoring, and performance tracking. Collaborates with IT, data engineering, R&D, technical, and commercial teams to integrate FCC expertise with scalable digital systems. Provides data-backed customer assessments, standardizes global processes, and trains teams on digital tools and analytical methods.

Leads the design, development, and optimization of scalable batch and streaming data pipelines for drilling, equipment, and operational analytics. Builds data models and features supporting reporting, machine learning, AI, predictive maintenance, and drilling optimization. Ensures data quality, testing, monitoring, observability, and CI/CD reliability while providing technical leadership, mentoring, and cross-functional collaboration with engineering, data science, and operations teams.

Analyze and reverse-engineer legacy tax data for conversion into TaxSys. Create data mapping specifications for developers, QA conversion results, investigate data issues, prepare data for customer training and verification, and guide clients through conversion decisions and go-live. The role also involves customer communication, project documentation, planning, time management, and potential project leadership.

Early-career Data Engineering Analyst supporting AIG’s Data Office through a rotational program. Responsibilities include developing cloud-based data pipelines, collecting and transforming data, building modern software systems, and supporting analytics and data science use cases. The role emphasizes data quality, security, compliance, collaboration, analytical problem-solving, and professional development through mentoring, masterclasses, and on-the-job experiences.

Analyzes statistical, financial, clinical, quality, operational, and market data supporting laboratory operations and reference lab sales. Develops executive dashboards, reports, pricing studies, and user-friendly data tools; maintains data integrity and laboratory databases; integrates systems; automates manual processes; evaluates trends and performance; and communicates findings to leadership and sales teams.

Own data ingestion, transformation, exchange, and integration workflows between K–12 Student Information Systems and Timely’s scheduling platform. Ensure pipeline accuracy, security, reliability, and scalability while collaborating with engineering, product, customer success, district IT teams, and SIS vendors. Develop documentation, process improvements, automation scripts, and lightweight Python tools; lead discovery for new SIS integrations and help scale the data integrations function.