Top Data & Analytics Jobs

Build and maintain reliable ETL and real-time data pipelines, enable data-driven product decisions, ensure relevant event collection, align data roadmap to business goals, and collaborate with platform, security, and analytics teams to deliver actionable insights.

Lead strategic analytics for marketing by building and deploying BI, predictive models, and reporting to influence senior leadership. Translate complex analyses into actionable recommendations, partner cross-functionally, identify market inefficiencies, advise on data acquisition, and support project delivery and stakeholder engagement.

Design and build Snowflake transformation layer and migrate legacy SQL to versioned dbt models. Define conformed dimensions/facts using Kimball principles, set modeling and CI/CD standards, implement data quality/lineage, support BI migration and AI/ML readiness, and mentor future hires. Hands-on work in dbt, SQL, and Python with stakeholder collaboration and governance for financial and operational data.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.

The job description was not provided. Based on the title, this role likely focuses on business intelligence analysis and reporting.

Develop and implement business intelligence solutions from requirements through design, development, testing, and deployment. Collaborate with business partners, define architectural improvements, design applications, perform root cause analysis, and conduct advanced performance tuning. The role requires experience with big data, streaming technologies, containers or Linux, REST APIs, and microservices.

Inspects raw seismic data quality by analyzing observer logs, using proprietary software, testing and adapting programs, debugging aborted processes, and monitoring lengthy data-processing runs. The role coordinates processing requirements with project teams and advisers, prioritizes programs based on runtime and urgency, and may support multiple projects simultaneously. Candidates must have a strong technical background, effective communication skills, legal authorization to work in the applicable region, and willingness to travel.

Develop and maintain enterprise data warehouse, OLAP, analytics, and ETL architectures. Design data models, fact and dimension tables, staging structures, source-to-target mappings, and integrations for SAP BI and reporting environments. Monitor and optimize database and ETL performance, validate data quality, support production processes, troubleshoot integration issues, and maintain code in version control while collaborating with business and technology stakeholders.

Lead enterprise data strategy, governance, and operating model. Align data initiatives to business value, oversee data lifecycle, security, compliance, and analytics capabilities. Define org structure, KPIs, and delivery frameworks while driving large, multi-platform integration initiatives and process execution.

Design and maintain ingestion pipelines for 835/837 and scanned EOBs: OCR, LLM-assisted extraction, integrations (SFTP, clearinghouses), data modeling, validation, and reconciliation to produce deterministic, trustworthy healthcare records.