Top Data & Analytics Jobs

Leads operations intelligence and business solutions for Logistics & Distribution. Translates business needs into reporting, analytics, automation, and AI-enabled tools; develops Tableau and Power BI dashboards, data models, KPI frameworks, and executive insights. Identifies process improvements, evaluates AI use cases, builds Power Platform solutions, supports governance and adoption, and partners with Technology and business teams on scalable solutions, ROI analysis, and digital transformation.

Own production-grade analytics data products, including reusable dbt models, dimensional models, metrics, access controls, tests, documentation, and Lightdash guidance. Partner with stakeholders across GTM, Finance, and data teams to define requirements, reconcile conflicting source data, validate results, and publish trusted metrics. Diagnose data quality issues, collaborate with data engineering, review modeling changes, and establish shared standards. Regularly use and evaluate AI coding agents in analytics workflows.

Build and maintain business intelligence models, dashboards, reports, and compensation analyses for shelter, breeder, and sales channels. Support insurance regulatory reporting, ad hoc analytics, data quality, governance, automation, and performance tuning. Partner with data engineering, compliance, and business teams to improve enterprise data models and enable AI-driven initiatives.

The Data Analyst II supports data extraction, cleansing, validation, transformation, ETL, reporting, dashboard creation, and visualization using SQL, Power BI, and Python. The role also assists with AI-enabled tools, automation, APIs, prototypes, and application workflows. Responsibilities include documenting data processes, validating outputs, communicating insights, supporting data quality and security, collaborating with stakeholders, and leading smaller-scope tasks with guidance from senior team members.

Own and maintain the GTM data stack and CRM systems end-to-end: extract and model data, build ETL/Timescale pipelines, manage Salesforce and HubSpot administration and integrations, deliver reporting and forecasting (Power BI/Salesforce), ensure data quality and monitoring, and expose data for AI agents.

Maintain and administer Microsoft SQL Server databases supporting healthcare research administration, compliance, reporting, and operations. Design schemas and tables; develop and optimize stored procedures, queries, scripts, utilities, and reports; manage scheduled jobs; monitor performance, security, backups, recovery, and data integrity; troubleshoot database and application issues; coordinate with web developers; document solutions; and provide technical recommendations to research leaders.

Build Hyperbolic Labs’ data infrastructure from the ground up, owning the data warehouse, ingestion pipelines, data modeling, reliability, governance, monitoring, troubleshooting, and performance tuning. Partner with engineering and analytics teams to support growing products, data sources, BI, and reporting. The role requires deep PostgreSQL expertise, large-scale data experience, and independent ownership of production data systems.

Develops enterprise data architectures, governance frameworks, integration strategies, metadata and master data standards, AI/ML data governance, feature store architectures, data lineage, provenance tracking, synthetic data and cross-domain sharing architectures. Supports governance compliance and creates data architecture roadmaps and modernization strategies for cloud and enterprise environments.

Lead Product Analytics strategy, team development, reporting, experimentation, data quality, and analytics platforms. Build an AI-native operating system that automates analytics workflows while maintaining governance and rigor. Own Amplitude instrumentation, KPI definitions, data models, pipelines, and product measurement. Partner with product and business leaders to guide decisions through diagnostic analysis, causal inference, launch measurement, and trusted reporting across crypto and trading products.

Maintains and analyzes customer, item, and coding data using Oracle systems. Organizes, validates, and prepares electronic data updates; investigates data issues, develops corrective solutions, assesses business impacts, and processes reports. Collaborates cross-functionally to support customer master and national coding initiatives, project planning, and execution while ensuring data integrity and customer-focused outcomes.