Top Data & Analytics Jobs

Implement and embed data and AI governance across Databricks and Snowflake platforms. Partner with delivery pods to automate quality gates, lineage, monitoring, and risk triage. Translate policy into technical controls, build observability for data drift and distribution, and optimize governance processes to accelerate compliant deployments.

Design, build, and maintain data pipelines, ETL/ELT processes, data lakes and data warehouses. Write advanced SQL, tune performance, support production, automate report delivery, and build dashboards (Orbit/Tableau). Manage full SDLC for data warehouse applications and collaborate with offshore teams.

Build and maintain HR data pipelines and warehousing (Snowflake), create data objects for Python and Tableau, use AI automation to clean large datasets, deliver actionable people analytics, consult with HR and executives, and manage multiple high-stakes analytics projects to inform workforce strategy and OKRs.

Design, migrate, and optimize real-time data pipelines into Databricks and SQL Server, build high-performance SQL workflows, create Tableau dashboards, develop sales projection models, integrate generative AI for transcript/coaching automation, and enforce data cleansing and auditing for Direct Sales leadership.

Analyze transactional metrics to identify inefficiencies, financial risks, and fraud; produce and validate daily/weekly/monthly reports and proactive alerts; consolidate and validate data sources for reporting; recommend process improvements to improve collections efficiency and customer satisfaction; deliver presentations and special-project analyses to senior management while leveraging automation and AI tools.

Build and maintain automated, AI-powered billing and credit reports and forecasting models. Migrate legacy workflows into scalable pipelines, collaborate cross-functionally, develop generative AI prompts and models, and deliver executive-level insights to improve billing operations.

Lead development, deployment, and optimization of cloud data platforms and real-time pipelines. Manage cross-functional on-site and offshore teams, ensure production stability, troubleshoot issues, optimize AWS and data warehouse cost/performance, implement CI/CD for pipelines, and integrate AI-driven ops for anomaly detection and predictive data quality.