Top Tech Jobs & Startup Jobs in Chicago, IL

Leads coordinated delivery of enterprise data and analytics transformation initiatives, including cloud data platforms, reporting modernization, integrations, governance, and AI enablement. Manages integrated planning, roadmaps, dependencies, risks, vendors, financials, Agile/SAFe delivery routines, operational readiness, release coordination, and executive reporting across business and technology teams.

Owns the strategy, development, launch, and optimization of pet insurance products within an MGA environment. Responsibilities include underwriting guidelines, pricing and rating structures, market research, competitive analysis, regulatory compliance, portfolio performance, and cross-functional collaboration with actuarial, underwriting, sales, marketing, finance, and distribution teams. Serves as a product subject matter expert, supports stakeholder training, and drives innovation across insurance and value-added pet services.

Develop pricing strategies, commercialization recommendations, market research, competitive intelligence, financial models, and executive analyses for veterinary technology products. The role evaluates pricing models, product costs, customer willingness to pay, market opportunities, margins, and revenue impacts while partnering with Product, Finance, Commercial, Operations, M&A, and executive teams on launches, strategic planning, partnerships, and portfolio decisions.

Own the analytics engineering roadmap, architecture, and production data models. Build and optimize dbt models using SQL, Python, and Databricks; establish dimensional models, governed metrics, testing, documentation, lineage, monitoring, and CI/CD practices. Partner with data engineering, analysts, BI developers, and stakeholders to deliver reliable analytics products, improve performance and cost efficiency, investigate data quality issues, and mentor team members.

Leads workforce management for a high-volume, omnichannel pet insurance contact center. Responsibilities include forecasting, staffing and capacity planning, scheduling, real-time adherence, intraday management, performance reporting, vendor coordination, and team leadership. The role partners across operations, training, quality, finance, technology, analytics, compliance, and product teams to optimize service levels, productivity, costs, coverage, and customer experience.

Senior Data Analyst responsible for integrating sales, CRM, customer, campaign, product usage, and engagement data into forecasts, dashboards, recurring reports, datasets, and actionable insights. The role analyzes pipeline performance, customer health, product adoption, retention, churn, marketing campaigns, and commercial trends. It partners with cross-functional stakeholders, defines KPIs, improves data quality, prepares executive reporting, and supports strategic decision-making through clear analysis and recommendations.

Analyzes marketing, website, campaign, and funnel performance using dashboards, reports, SQL, web analytics, data warehouses, and visualization tools. Evaluates A/B and multivariate tests, improves attribution and measurement capabilities, and translates complex data into actionable recommendations. Collaborates cross-functionally to optimize campaigns, website conversion, audience growth, revenue, and marketing efficiency while presenting insights to technical and non-technical stakeholders.

Manage infrastructure project delivery across Azure, Microsoft 365, cloud, endpoint, identity, networking, security, and enterprise IT services. Coordinate cross-functional teams and vendors, oversee project intake, planning, dependencies, risks, reporting, cutover activities, communications, documentation, and support handoff. Ensure initiatives align with infrastructure standards, security requirements, service management practices, and operational governance.

Supports budgeting, forecasting, long-range planning, financial reporting, variance analysis, expense management, KPI development, and strategic decision support across multiple brands and shared services. Partners with finance and business leaders, improves reporting and planning processes through automation, supports ERP and EPM optimization, and maintains financial data accuracy, intercompany allocations, and governance.

The Lead Cybersecurity Engineer implements cloud security standards, manages cybersecurity tools, performs assessments, and supports data privacy and governance while collaborating with various teams.