Top Data & Analytics Jobs

Conduct quantitative analysis of macroeconomic, market, consumer, and business trends using first- and third-party data. Translate findings into accessible public-facing research, written content, visualizations, and interactive tools for Wealthfront’s blog, newsletter, social media, and media channels. Monitor economic news, collaborate with content and communications teams, and participate in media, podcast, and video interviews.

Develops and administers complex ETL and ELT data integration solutions using Microsoft Fabric, SQL Server, Lakehouses, Warehouses, pipelines, notebooks, and SSIS. Designs reliable data flows, consumption views, semantic datasets, and enterprise data models; troubleshoots data quality and pipeline issues; supports database administration, backup and recovery, reporting, deployment, and CI/CD. Collaborates with business, analytics, technical, vendor, and reporting teams to deliver secure, scalable, trusted data products.

Leads the Business Intelligence and Revenue Analytics function, balancing team management with hands-on analysis. Develops dashboards, KPI frameworks, forecasts, and reporting for Sales, Marketing, Revenue Operations, and executives. Partners with Data Engineering on data models, pipelines, governance, and quality. Translates business needs into analytical solutions, delivers actionable insights, manages the analytics roadmap, prioritizes initiatives, and coaches a small team.

Leads SimpliSafe’s enterprise consumer insights function, owning quantitative and qualitative research across Marketing, Product, and Customer Experience. Establishes customer-truth standards, oversees research operations, vendors, and budgets, and translates market and customer data into strategic recommendations for product development, go-to-market, brand, and customer experience. Manages and develops a high-performing insights team while influencing executive decisions and advancing customer-centric, evidence-based decision-making.

Supports and oversees finance systems and operations for a public school division. Designs and maintains data interfaces, transfers, reporting systems, and system documentation; analyzes data integrity, dependencies, and performance; develops ad hoc reports; leads upgrades and maintenance; recommends process and system improvements; and resolves financial system issues. Collaborates with technical, finance, management, county, and vendor stakeholders while ensuring compliance with statutory requirements.

Analyzes casino marketing databases, campaigns, promotions, direct mail, and events. Maintains player-tracking data, develops SQL queries and reports, audits promotional setup, ensures data integrity, and evaluates campaign profitability and performance. Provides pre- and post-campaign analysis, identifies customer segments and acquisition opportunities, troubleshoots data issues with IT and vendors, and presents recommendations to marketing and management. Requires strong analytical, organizational, communication, and database skills.

Develop and optimize enterprise databases across Oracle, SQL Server, and MySQL. Build ETL/ELT pipelines, integrations, migrations, data models, and quality controls. Create Power BI datasets, semantic models, dashboards, and reports while optimizing performance and refreshes. Support database operations, security, DevSecOps, automation, cloud data services, and AI-enabled data engineering. Provide technical mentorship, documentation, troubleshooting, and cross-functional collaboration.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.