Top Data & Analytics Jobs

Develop and maintain sales datasets, Power BI reports, and dashboards; extract, transform, validate, and automate sales data using SQL, Databricks, and Python; document metrics and logic; perform ad hoc and advanced analyses to support sales performance, forecasting, territory strategy, and executive reporting.

Build and own AgentMail’s growth stack: instrument funnels, enrich signups, build source-of-truth dashboards, run PLG experiments, automate outbound and lookalike plays, connect systems via APIs/webhooks, and ship AI-powered internal tools from prototype to company-wide adoption.

Build production-ready analytics and ETL solutions to support Internal Audit. Perform data modeling, engineering, governance, entitlement management, and write analysis code to improve audit sampling, detect control gaps, and automate audit processes.

The Senior Oracle Finance Architect will lead finance transformation initiatives, collaborating with stakeholders to optimize Oracle Cloud Fusion Finance solutions and support implementation activities.

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.

Build and maintain scalable cloud-native data platforms and pipelines for analytics. Design system architecture, ingest high-volume bounded and unbounded data, optimize performance and cost, write tests and documentation, collaborate with product and EHR specialists, and adopt AI-assisted development tools to improve delivery and quality.

Lead customer integrations by building warehouse-native or managed ClickHouse pipelines, construct semantic metadata layers, canonicalize source data into unified growth models, and act as the technical lead for enterprise deployments while partnering with AI discovery agents to accelerate onboarding and mapping.

Design, build, and operate enterprise-scale data ingestion and transformation pipelines in Microsoft Fabric/Azure. Lead legacy migrations, implement data quality, monitoring, and governance, optimize pipelines for performance and cost, onboard data domains, and prepare high-quality data assets for Power BI and downstream analytics while documenting standards and collaborating with cross-functional teams.

Own the marketing data layer: write and optimize SQL, build and maintain Hex dashboards, add React components, create reporting tools for growth teams, analyze data with Python, and translate findings into actionable insights.

Lead design, development, and optimization of enterprise Power BI solutions. Collaborate with stakeholders to define metrics, build semantic models, implement governance, tune performance, troubleshoot data/model issues, manage platform administration, and deliver actionable reports and dashboards using Power BI, SQL Server, and Azure data platform.