Top Data & Analytics Jobs

Performs pricing analysis, fare management, competitor and market performance monitoring, and revenue trend analysis for domestic and international airline markets. Recommends and implements pricing adjustments, maintains pricing reports and documentation, supports revenue management systems, develops spreadsheet models, and presents findings to management. The role also contributes to strategic and profitability projects, including Sun Country and Allegiant integration initiatives.

Lead the global Master Data Management strategy across a complex manufacturing organization. Establish governance councils, data ownership models, standards, stewardship processes, quality controls, and enterprise master data frameworks. Govern product, material, customer, vendor, BOM, routing, and manufacturing data while integrating ERP, MES, PLM, CRM, and analytics platforms. Advise senior leadership, lead global transformation initiatives, develop data quality metrics, drive stakeholder adoption, and manage approximately 35% international and domestic travel.

Collects and delivers market measurement data for in-store retail programs, supports test design and measurement planning, presents findings, and communicates insights to Sales and cross-functional stakeholders. The role manages multiple analyses and reports, ensures accuracy and timely delivery, and applies data interpretation, problem-solving, and stakeholder communication skills. Experience with analytics, consumer-packaged goods, media, agency environments, or Circana/NielsenIQ data is advantageous.

Designs enterprise data architecture, models, integration patterns, data pipelines, semantic models, governance standards, and access protocols. The role translates business and application needs into scalable data solutions, supports analytics, automation, AI, and application development, and collaborates with data engineers and stakeholders to deliver trusted, reusable datasets.

Develop and maintain analytics solutions, dashboards, recurring reports, and ad hoc analyses for business stakeholders. Ensure data quality through validation and robust processes, document data sources and transformations, and translate stakeholder needs into data specifications. The role requires advanced SQL, dbt, Tableau, data modeling, and data quality skills, along with strong analytical, communication, and documentation abilities. This is an onsite position four days per week.

Identify, design, and implement automation and reporting solutions to streamline processes, reduce manual work, and support AI-enabled tools. Build reports, dashboards, data workflows, and notifications; perform process mapping, data validation, and stakeholder requirements gathering while collaborating with cross-functional teams.

Supports the MDA Chief Engineer by transforming engineering and programmatic data into leadership dashboards, schedules, databases, and actionable reports. Develops visualizations for engineering metrics, risks, and technical performance; maintains engineering artifact and action-item databases; manages complex technical schedules; and assists with rapid data calls, technical writing, special studies, and emerging strategic projects.

Analyze member interactions, safety vetting cases, review decisions, and appeals for quality and policy compliance. Audit Trust and Safety workflows, identify process gaps, track departmental quality, report trends, present data-driven insights, and recommend improvements to processes and training. The role requires strong analytical, communication, confidentiality, attention to detail, and time-management skills.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

Designs, builds, and maintains enterprise lakehouse data pipelines, transformation layers, and data models. Develops scalable batch and streaming solutions using Spark, Kafka, and Flink; implements medallion architecture, data quality monitoring, and infrastructure as code. Troubleshoots performance and data incidents, participates in code reviews, collaborates on data modeling, and mentors junior and mid-level engineers.