Top Data & Analytics Jobs

Leads enterprise data management strategy, governance, quality, reporting, workflow optimization, and operational risk initiatives in a regulated financial services environment. Partners with senior stakeholders to deliver cross-functional programs, dashboards, controls, analytics, and process improvements. Oversees AI and GenAI applications for reporting, documentation, exception management, and process mining while ensuring privacy, model risk, responsible AI, and regulatory compliance.

Supports the development and deployment of data pipelines, integrations, data products, AI and machine learning solutions for AbbVie Operations. Collects and analyzes manufacturing, laboratory, and enterprise data; builds dashboards and analytical tools; contributes to data governance and quality; translates stakeholder needs into technical solutions; and participates in emerging technology pilots across manufacturing, supply chain, laboratories, and engineering.

Supports insurance product management through market and competitor analysis, KPI reporting, financial performance review, data cleaning, competitive modeling, dashboards, ad hoc analysis, and business presentations. The intern helps state management identify marketplace trends, understand profit, growth, retention, and operational results, and make data-driven decisions. Responsibilities include strategic projects, communicating insights to business leaders, and contributing to sustained profitable growth and customer service.

Own end-to-end analytics for a designated business area, including data pipeline development, SQL analysis in AWS Redshift, Tableau dashboards, automated reporting, data quality, and stakeholder communication. Translate complex business questions into actionable insights, develop subject-matter expertise, identify data gaps, and independently drive solutions while partnering with revenue, product, operations, engineering, and BaaS stakeholders.

Partners with Operations leaders to analyze operational data, govern datasets, develop dashboards and reports, establish KPIs, and translate findings into actionable recommendations. The role identifies trends, risks, root causes, and process-improvement opportunities; automates reporting; supports strategic initiatives; and serves as a Smartsheet subject matter expert. Requires strong analytical, communication, data management, and problem-solving skills, with proficiency in Excel and familiarity with Power BI, SQL, or similar tools.

Designs, develops, tests, and maintains BI reports, dashboards, data models, data warehouses, and ETL processes using Microsoft BI tools. The role analyzes source data, resolves data integrity issues, supports stakeholders and end users, implements data protection solutions, and maintains documentation. This is a fully remote position with approved-location restrictions.

Build, maintain, and support production data pipelines and platform capabilities using Snowflake, dbt, Airflow or Cloud Composer, APIs, files, and cloud services. Responsibilities include ETL/ELT development, data modeling, testing, deployment, monitoring, troubleshooting, optimization, documentation, and data quality. The role partners with analytics, data science, finance, risk, marketing, product, and engineering teams, while supporting reliable, scalable, and cost-effective data systems and emerging AI data workflows.

Build and own data pipelines, models, quality checks, dashboards, and visualizations for manufacturing and test data. Partner with optical, manufacturing, and quality engineers to create reliable data solutions, improve pipeline performance and cost, and support engineering and leadership decisions. Establish software engineering practices for data systems, guide technical direction across distributed sites, and mentor other engineers.

Analyze pricing, occupancy, customer, promotional, and marketing data to identify trends and opportunities. Prepare reports, dashboards, scorecards, and executive summaries; evaluate campaign and pricing performance; support testing, forecasting, KPI tracking, data quality, business requirements, and process improvements. Collaborate with Pricing, Marketing, Finance, Operations, and Data teams to translate business questions into actionable recommendations and improve reporting workflows.

Designs and develops data engineering solutions in Dallas, Texas. The role requires a bachelor’s degree in computer science, computer engineering, information technology, or a related field, plus two years of experience. A master’s degree in a related field may alternatively satisfy the education requirement.