Top Data & Analytics Jobs

Design and build data warehouse, lakehouse, and analytics solutions on Microsoft Fabric and Azure SQL. Implement Medallion Architecture, develop reliable ELT/ETL pipelines, model data for analytics, ensure data quality and monitoring, consult with clients on requirements and governance, and provide technical leadership and mentoring.

Develop and run large-scale Big Data pipelines using Spark, Phoenix, Kafka, and HBase. Work on production environments handling hundreds of TB, deploy and execute jobs on Azure HDInsight, and maintain high-performance data processing.

Serve as client-facing lead for environmental data management and sustainability strategy. Analyze energy, water, GHG, and waste performance; provide reporting and regulatory guidance; manage vendors and ESG platforms; support green building certifications (LEED, ENERGY STAR); produce high-quality reports, presentations, and deliverables; and coordinate multiple projects with strong communication and project management.

Design, develop, and maintain Power BI dashboards and data aggregations. Automate workflows with Power Automate and SharePoint. Collaborate with stakeholders to define requirements, track project milestones for government programs, and produce technical documentation and ad-hoc analyses to support decision-making.

Translate financial, market, and operational data into executive-ready insights and recommendations. Build structured analyses to support strategic decisions, prepare executive materials, synthesize cross-functional insights, and use AI and analytics to improve speed and quality of business intelligence supporting leadership.

Maintain and monitor Snowflake data warehouse and ingestion pipelines. Troubleshoot file/load/data quality issues, operate SFTP/drop-zone/file automation, support scheduled loads, build dbt models and tables, document runbooks, and serve as backup for core warehouse operations while collaborating with engineering and IT.

Lead market research and business intelligence for consumer growth: define metrics and dashboards, analyze quantitative and qualitative data, run surveys and user interviews, build financial models and P&Ls, size ROI and pricing, and present actionable recommendations to senior leadership.

Lead business intelligence and market research to inform consumer strategy. Design and run quantitative and qualitative studies, build dashboards and financial models (P&L, pricing, ROI), analyze willingness-to-pay and feature trade-offs, and deliver actionable recommendations to senior leadership. Own metrics, tracking systems, and cross-functional insight execution.

Design and govern scalable Azure-based data platforms and lakehouse architectures, lead data modeling (relational, dimensional, Data Vault), build high-throughput batch and streaming pipelines, enable data governance and security, integrate analytics/ML feature stores and LLM gateways, and partner with engineering and business teams to deliver production-ready data products and Power BI semantic layers.

Build and maintain data pipelines and ETLs using SQL and Python, create and update dbt data models, translate business needs to technical specs, deploy and test changes, monitor and improve pipelines, and support cross-functional reporting and analytics.