Top Data & Analytics Jobs

Design, develop, and optimize complex SQL queries, stored procedures, functions, and schemas. Perform data modeling, support ETL and data integration, troubleshoot performance issues, ensure data integrity/security, and collaborate with stakeholders to deliver scalable database solutions.

Partner with Product, Engineering, and Marketing to lead product and marketing analysis, experimentation, and causal inference. Design analytical frameworks, own end-to-end projects, connect product outcomes to revenue and LTV, and craft executive-level data storytelling to drive acquisition, engagement, retention, and growth.

Serve as a strategic analytics partner to Product, Engineering, and Business leaders to define and measure the customer journey, identify funnel optimization opportunities, run deep-dive analyses and A/B tests, build measurement frameworks and dashboards, partner with Data Engineering to establish scalable data pipelines and event tracking, translate insights into actionable recommendations, and mentor junior analysts to influence product strategy and business outcomes.

Lead measurement, KPI design, and performance review cadence for digital demand generation across channels. Build metrics from Google Analytics, Snowflake, Salesforce CRM and paid media data, drive cross-channel synthesis, provide executive insights and recommendations, and guide analysts on dashboards and monitoring.

Lead hands-on analytics work to build data products, AI-first applications, and production analytics on Snowflake and Azure. Partner with Data Engineering and business stakeholders to identify high-value monetization, efficiency, and growth opportunities, deliver end-to-end solutions, and scale the function by hiring and mentoring a team while ensuring data governance and compliance.

Entry-level rotational Data Engineer role focused on SQL Server development, SSIS package creation, data validation, ETL, performance tuning, and cross-platform integrations (Salesforce, Marketing Cloud). Participate in SDLC, code reviews, data profiling, reporting, and stakeholder meetings with the goal of permanent placement after rotations.

Partner with stakeholders to gather requirements, support and configure business systems, analyze processes, run tests, create reports, troubleshoot issues, maintain documentation, and provide end-user training and on-call support to improve system reliability and data quality.

Lead design and delivery of complex data solutions across products, translate customer needs into architectures, drive engineering best practices, mentor engineers, manage data pipelines, ensure security and performance, and collaborate with stakeholders to roadmap and estimate large-scale projects.

Lead marketing measurement, reporting, and analysis for digital, social, and traditional programs. Design analytics implementations, run exploratory analysis and A/B tests, define KPIs, present insights to clients, and mentor analytics teams to drive optimization and ROI.

Lead design and delivery of enterprise-scale data platforms and reusable data products across Azure and Databricks. Build scalable ingestion, transformation, and modeling frameworks for multi-domain healthcare data, implement governance and lineage, optimize performance and cost, and mentor data engineering teams to enable secure, self-service analytics.