Top Senior Data & Analytics Jobs

Own product analytics and measurement strategy, including KPI definition, experimentation, reporting, executive dashboards, and scalable dbt datasets. Partner with Product, Growth, Engineering, Design, and leadership to guide roadmap and marketplace growth decisions. Conduct product and market analysis, manage technology-category data, research cybersecurity and AI markets, and use LLMs to improve workflows and enrich the product database.

Leads the full lifecycle of business analysis across Field, Accounting, Sales, Operations, and Technology teams. Defines requirements, business cases, ROI analyses, process improvements, data-quality standards, and solution impacts. Supports software testing, issue resolution, systems analysis, analytics, and strategic decision-making. The role also researches technology trends, presents recommendations to management, and mentors entry-level business analysts.

Leads actuarial insights, reporting, pricing initiatives, and data-quality improvements within the P&C Pricing team. Translates complex data into recommendations, modernizes pricing tools and processes, partners across analytics and underwriting functions, and manages the MI Manager and Actuarial Analyst. Requires actuarial fellowship, at least five years of P&C pricing experience, strong analytical and leadership skills, advanced Excel, and desirable SQL or Python experience.

Develops scalable Power BI and Microsoft Fabric solutions, including dashboards, semantic models, data pipelines, and lakehouse architectures. Partners with stakeholders to define metrics, gather requirements, improve data quality, and deliver governed analytics. Uses SQL, Python, PySpark, DAX, and Power Query to transform and visualize enterprise data. Supports deployment, automation, user training, troubleshooting, and adoption. The role requires experience with Dynamics 365 Finance and Operations, corporate reporting, and preferably CPG or food manufacturing environments.

Leads enterprise data strategy, analytics, business intelligence, data engineering, governance, and AI-enablement initiatives. Manages data and analytics teams, defines strategic roadmaps, develops executive dashboards and KPI frameworks, guides data warehouse and lakehouse architecture, and delivers advanced analyses, forecasting, and predictive insights. Partners with executives to improve operational efficiency, customer experience, revenue, profitability, and organizational performance while establishing scalable, governed, and reliable data capabilities.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Leads production data engineering for AI systems, designing scalable pipelines, cloud infrastructure, orchestration, retrieval architectures, evaluation datasets, and real-time data flows. Establishes data quality, governance, lifecycle, observability, and coding standards; integrates AI agents into engineering workflows; manages significant incidents; builds reusable platform components; and mentors junior and mid-level engineers.

Leads CHA’s organization-wide data strategy, warehouse development, reporting, and dashboarding initiatives. The role designs data models and pipelines, integrates information from multiple systems, develops Power BI dashboards, establishes documentation standards, manages vendors, and guides departmental data roadmaps. It also partners with senior leaders to gather requirements, drive adoption, improve data quality, and build a reliable, data-informed organization.

Develop and maintain scalable data pipelines, models, datasets, reports, and dashboards for operational reporting. Use dbt, Airflow, Azure Data Factory, SQL, Power BI, and related technologies to build, optimize, test, migrate, and support data delivery solutions. Collaborate with technical and business stakeholders, conduct root cause analysis, automate maintenance, contribute to development standards, and mentor junior engineers. The role requires P&C insurance experience and hybrid work three days per week at a specified office location.

Leads production planning, budgeting, forecasting, performance management, competitive intelligence, and executive reporting. Establishes production targets, analyzes variances and marketing economics, identifies risks and opportunities, and provides actionable insights to senior leadership. Partners cross-functionally with Finance, Marketing, Credit, and Operations while modernizing reporting and decision-making through AI-enabled tools, automation, advanced analytics, and improved monitoring capabilities.