Top Data & Analytics Jobs

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

Design and document enterprise big-data and data warehouse architectures. Collaborate with stakeholders, perform data profiling and requirement analysis, guide Spark ingestion development, recommend cloud data service patterns (Azure/AWS), and lead data governance, stewardship and quality best practices to support analytics and ML use cases.

Manage and optimize data infrastructure through CRM integrations, SQL database administration, SFTP data transfers, reporting (SSRS, Power BI), and Dynamics configuration. Support internal users, troubleshoot integrations and applications, write scripts/stored procedures, and produce dashboards and formatted reports to enable accurate, accessible data for business decision-making.

The analyst will drive analytics behind sales growth, improve data quality, automate reporting, and provide insights for decision-making across Xylem's operations.

Build and lead the Data & Analytics function: design data pipelines, modeling, orchestration, BI dashboards, and analytics to inform product, engineering, GTM and marketing. Own analytics infrastructure, metrics, experimentation, and translate insights into action across teams.

Use SQL and Databricks to extract, clean, and analyze data; build statistical and machine learning models; create Power BI dashboards and forecasts; run A/B tests; present insights and collaborate with cross-functional teams to drive data-driven decisions.

Build and maintain scalable data processing pipelines and the data warehouse, write tested performant code, develop product features, establish data engineering standards, and collaborate across product and engineering to improve data access and quality.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.

Design, build, and maintain KPIs, dashboards, automated reports, and BI solutions to improve project controls visibility. Analyze large datasets, ensure data quality and governance, support Cost/Schedule/Risk/Change functions, provide forecasting and ad hoc analysis, and collaborate across teams to drive adoption and process improvements.

Design and maintain scalable dbt data models and Looker dashboards; partner with Finance, Product, and GTM to translate requirements into analytics solutions; ensure data quality with Data Engineering; perform analyses, forecasting, and QA to deliver trusted reporting and drive analytics initiatives.