Top Data & Analytics Jobs

Develop and maintain data pipelines, infrastructure, and integrations supporting analytics, data science, and business intelligence. Ensure data quality and integrity, optimize workflows, and collaborate with Operations, IT, Accounting, HR, Property Services, Marketing, and other departments. The role requires SQL Server, programming, shell scripting, cloud, containerization, version control, and data pipeline knowledge, with occasional travel and flexible scheduling as project deadlines require.

Leads the design, development, and optimization of scalable data pipelines and analytics platforms. Builds ETL/ELT workflows using Databricks and Spark, integrates and transforms source data into curated models, manages SQL Server data, and maintains documentation and lineage. Collaborates with product, analytics, and engineering teams to deliver reliable data solutions. Applies responsible AI practices and delivers projects independently within established timelines.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Administers and secures Microsoft SQL Server databases, supports database-driven applications, and develops Power BI analytics solutions. Manages backups, recovery, performance, security, integrations, and production support. Administers the Alation data catalog and advances metadata management, data governance, stewardship, data quality, and literacy. Partners with business and technical stakeholders to gather requirements, improve processes, resolve complex issues, and deliver reliable, governed data services. Occasional after-hours work and travel may be required.

Build and maintain scalable data pipelines, models, and cloud infrastructure supporting Xometry’s global marketplace. Collaborate with data scientists, ML engineers, product teams, and business stakeholders to translate requirements into reliable data solutions. Develop self-service tooling, optimize Snowflake and AWS environments, support CI/CD deployment processes, and ensure data integrity, consistency, and usability across internal and external consumers.

Analyze paid media, CRM, organic demand, conversion funnels, and service-line performance for Aspen Dental. Identify performance drivers, measure incrementality and experiments, develop ROAS and diminishing-return frameworks, support forecasting, and recommend marketing spend allocation. The role synthesizes multiple data sources and partners with marketing, media, finance, technology, and operations teams to turn analytics into actionable business decisions.

Builds and maintains scalable data pipelines and reusable datasets in Databricks. Ingests, validates, transforms, and models structured and unstructured data using Python, PySpark, and SQL. Integrates warehouse and cloud analytics systems, supports Tableau and Spotfire reporting, improves reliability and performance, and implements testing, monitoring, documentation, and CI/CD. Collaborates with technical and business stakeholders while providing technical guidance, code reviews, and mentorship.

Manages qualitative and quantitative data across proprietary and third-party consultant databases. Ensures data quality, maintains investment strategy content, conducts research and analysis, supports automated reporting, prepares consultant database responses and RFPs, and coordinates with relationship managers, investment specialists, content teams, and marketing data teams.

Analyze paid media, CRM, organic demand, conversion funnels, and service-line performance for Aspen Dental. The role synthesizes data, evaluates marketing incrementality, measures experiments, develops ROAS and diminishing-return frameworks, supports forecasting, and recommends channel and market investment decisions. The analyst partners with marketing, media, finance, technology, call center, and other teams to embed analytics into daily decision-making.

Conduct deep industry research on home services companies, design surveys and data studies, analyze datasets, and publish quarterly reports for executive audiences. Build profiles of key executives and use AI workflows to create personalized briefs. Support CEO and CRO meetings, refine research based on feedback, and recommend new data sources and tools.