Top Data & Analytics Jobs

Design and build scalable cloud-native data platforms, batch and streaming pipelines, data lakes, and integrated data services. Support analytics and AI/ML workloads while implementing DevSecOps, infrastructure as code, and reliability improvements. Collaborate with data scientists, engineers, architects, consultants, and clients to solve complex data challenges and translate requirements into technical solutions. The role supports Defence, Government, and National Security projects and requires high-level security clearance and on-site work three to four days weekly.

Leads qualitative feedback gathering, data analysis, visualization, and reporting to generate actionable insights for communications and outreach strategies. Develops analytical tools and workflows, maintains data quality standards, and presents recommendations to stakeholders. Builds feedback-collection capabilities through structured training programs, monitors quality, identifies gaps, and implements improvements. Requires stakeholder engagement, strong communication, organizational skills, and interest in applying new technologies.

Build and operate scalable multimodal data pipelines from requirements through delivery. Own feasibility, planning, quality standards, annotation, processing, storage, cost tracking, and acceptance criteria. Coordinate engineers, annotation teams, vendors, and client-facing stakeholders while improving infrastructure, automation, tooling, dataset visibility, and data quality for AI and foundation model teams.

Analyze paid marketing performance across channels, campaigns, audiences, and creatives from initial click through funded deal. Build quality and funnel metrics, evaluate experiments, validate attribution and data quality, develop dashboards, and communicate actionable recommendations to marketing and executive stakeholders. The role uses SQL, Python, marketing platforms, web analytics, and AI tooling to optimize acquisition efficiency and funded-customer outcomes.

Analyzes logistics business and cost data, identifies cost drivers and improvement opportunities, improves cost data governance, and develops optimization initiatives. The role evaluates warehousing, transportation, procurement, labor, lease, and consumables costs; performs root-cause analysis; coordinates cross-functional projects; tracks savings and efficiency gains; and supports continuous improvement across business operations.

Own marketing analytics across attribution, channel efficiency, experimentation, incrementality, unit economics, GTM analytics, lifecycle marketing, and reporting. Define marketing data models, build dbt models and Looker reporting, evaluate campaign and channel performance, and guide budget allocation. Partner with marketing leaders and executives to turn data into actionable decisions, improve measurement, and establish a trusted, data-driven marketing engine.

Forecasts contact volume, capacity, and staffing for a virtual healthcare clinic. Monitors real-time queues, adherence, service levels, and intraday risks; combines multiple data sources to create staffing recommendations and reporting. Uses AI and LLM tools to test and improve forecasts, while accounting for clinician licensing constraints. Requires contact center WFM experience, strong Excel skills, analytical communication, and comfort working remotely with required equipment and connectivity.

Leads market intelligence for global data center and power generation markets. Monitors industry and competitor trends, develops forecasts, conducts market analyses, manages intelligence resources and external vendors, and translates complex information into strategic recommendations. Partners with business leaders on investment, portfolio, growth, and long-term planning decisions while supporting strategic projects and mentoring analysts.

Leads the firm's business intelligence and reporting function, managing two BI professionals while remaining hands-on. Responsibilities include migrating SSRS reports to Power BI and Microsoft Fabric, rationalizing 200+ financial reports, designing semantic data models, optimizing SQL queries, piloting AI-assisted reporting, maintaining availability and accuracy, and partnering with Finance, Data Strategy, Security, and business stakeholders. The role requires strong Power BI, SQL Server, reporting governance, backlog management, and team leadership skills.

Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.