Top Data & Analytics Jobs

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Own the architecture and hands-on development of Tala’s shared data and analytics platforms. Build semantic layers, governed business metrics, data models, pipelines, services, tooling, and AI-enabled analytics workflows. Lead cross-functional technical initiatives spanning Product, Engineering, Analytics, Finance, and Accounting; improve governance, reliability, usability, and documentation; resolve architectural bottlenecks; and mentor engineers through technical leadership.

Build and operate production data pipelines and warehouse models for a global energy trading platform. Develop Python pipelines orchestrated with Prefect, create tested Snowflake models with dbt, migrate legacy Oracle systems, integrate diverse data technologies, and implement quality, freshness, monitoring, and alerting controls. The role also supports AI-ready data, AWS services, platform documentation, and direct collaboration with analysts and desk users.

Designs, implements, and sustains secure mission data pipelines for the Department of the Air Force’s DIFC2 program. Responsibilities include mission data architecture, interface and schema definition, ETL and transformation development, API integration, monitoring, documentation, and RMF compliance. The role requires collaboration with government, cybersecurity, and mission partners to deliver reliable, interoperable data flows in a defense environment.

Analyzes global market microstructure, trading algorithms, execution data, and performance across equity and FX markets. Develops execution analytics, reporting frameworks, trading signals, and machine learning models to improve trading strategies. Advises execution traders, evaluates vendor tools and data, automates workflows, and supports quantitative research projects. The role requires strong programming, statistical, AI and machine learning capabilities, familiarity with financial markets, and flexibility across trading hours.

Administer Raiser's Edge and Raiser's Edge NXT for fundraising and membership programs. Maintain constituent data integrity, governance standards, security, duplicate management, imports, exports, integrations, reporting, dashboards, and segmentation. Support donor and member analytics, portfolio management, reconciliations, staff training, system transitions, documentation, and user support. Collaborate with Development, Membership, Finance, Marketing, and other departments to improve data quality, reporting, and constituent relationship management.

Analyzes B2B marketing performance across campaigns and channels, builds dashboards and forecasting models, measures ROI and funnel metrics, evaluates lead and pipeline quality, supports experimentation, and presents actionable insights to guide marketing investments and partner growth.

Leads end-to-end data engineering solutions across multiple client engagements, from discovery and architecture through production support. Designs and optimizes Snowflake data platforms, models, warehouses, ELT/ETL pipelines, APIs, integrations, and deployments. Provides technical leadership, client communication, estimation, governance, performance and cost management, engineering standards, mentoring, training, and production escalation support.

Analyze web, journey, survey, and marketing data to uncover actionable insights for enterprise clients. Translate technical findings into business recommendations, test-and-learn plans, dashboards, reports, and presentations. Collaborate with account teams, ensure data quality and statistical rigor, investigate anomalies, and support client questions. The role requires expertise in analytics platforms, data visualization, spreadsheets, SEO, and client-facing data storytelling in a fast-paced SaaS environment.

Owns global commercial performance reporting, volume forecasting, market share analysis, and performance management across AB InBev. Develops standardized reporting, analytical methodologies, and executive-ready insights to identify risks, opportunities, and business drivers. Partners with Commercial, Finance, Revenue Management, and regional teams to improve data quality and decision-making. Leads forecasting enhancements, performance decomposition, automation, visualization, and strategic analyses for senior leadership.