Top Tech Jobs & Startup Jobs

The Business Analyst translates complex data into actionable business insights. Responsibilities include building Looker dashboards, producing recurring and ad hoc reports, analyzing trends and performance drivers, partnering with Marketing, Sales, and Operations, and supporting process improvements. The role requires strong SQL, Excel, communication, business judgment, and independent project management skills, with preferred experience in BigQuery and insurance industry metrics.

The Data Scientist will use SQL, Python, statistics, machine learning, and AI/LLMs to solve business problems involving customer behavior, marketing effectiveness, conversion, revenue, and forecasting. Responsibilities include data preparation, feature engineering, predictive modeling, experimentation, workflow automation, model deployment and monitoring, and communicating actionable recommendations to technical and business stakeholders.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Own and grow a portfolio of approximately 100–125 insurance-agent accounts. Drive revenue through upselling, cross-selling, campaign creation, pricing, targeting, and performance optimization. Lead client discussions around conversion rates, cost per call, cost per policy, and ROI while partnering with media and operations to improve call quality and volume. Maintain retention by delivering measurable value and profitable customer acquisition outcomes.

Qualify inbound and outbound leads through calls, emails, and other channels; assess interest, fit, and buying readiness; prioritize leads using scoring criteria; maintain CRM records; route qualified opportunities to sales teams; collaborate with marketing and sales; provide campaign feedback; and achieve activity and conversion targets.

Owns the People technology ecosystem, including HRIS, ATS, learning, screening, and related platforms. Administers employee lifecycle transactions, maintains data governance, configures workflows, supports integrations, builds automations, and develops workforce reports and dashboards. Partners with IT and Engineering on system improvements, APIs, and AI-enabled solutions while ensuring data accuracy, privacy, security, and scalable People Operations.

Lead strategy, roadmap, and execution for agentic applications supporting customer acquisition, internal operations, and partner capabilities. Drive 0-to-1 product development, define requirements and KPIs, collaborate with engineering, AI/ML, data science, and operations teams, manage cross-functional stakeholders, and validate use cases through experiments and iterative delivery.

Leads Centerfield’s organic growth and AI Discovery business, owning SEO, AEO, GEO, AI visibility, revenue strategy, reporting, technical search priorities, publishing operations, and vendor management. Develops advertiser offerings, pricing, forecasting, and client strategies while partnering with Sales, Content, Product, Engineering, and Communications. Manages the Organic Growth and Web Publishing teams, improves automation and quality workflows, and translates performance data into actionable decisions across a multi-brand portfolio.

Designs and maintains data collection infrastructure, resilient pipelines, ETL/ELT processes, data warehouses, streaming architecture, BI reporting, and analytical systems. Troubleshoots technical defects, performs root-cause analysis, maintains specialized datasets, and owns end-to-end data collection, extraction, and cleansing. The role requires experience with AWS, Google Cloud, ETL tools, programming languages, NoSQL databases, and BI platforms.