Top Data & Analytics Jobs

Own analytics for cart, checkout, returns, exchanges, and accounts. Design experiments, apply causal inference, diagnose funnel issues, build KPI dashboards, maintain Python and SQL pipelines, and use AI-assisted workflows. Partner with Product, Engineering, and Design to prioritize opportunities and communicate evidence-based recommendations. The role requires strong statistical rigor, technical independence, and comfort with ambiguity in a fast-moving e-commerce environment.

Leads enterprise reporting, data modeling, governance, reconciliation, and dashboard development across wealth management systems. Ensures data integrity and standardized KPI reporting while analyzing financial and operational trends. Partners with business, technology, operations, finance, and senior leadership to deliver actionable insights, improve reporting processes, support system transformations, and drive adoption of consistent reporting practices.

Leads enterprise data modeling, governance, reconciliation, and reporting across wealth management systems. Develops dashboards and KPI frameworks, ensures data integrity, analyzes financial and operational trends, and delivers executive insights. Partners with business, technology, operations, and finance teams to standardize reporting, support system transformations, improve automation, and drive data-informed decisions.

Supports actuarial data workflows by updating and testing SQL queries, comparing legacy and updated results, performing data quality checks, and documenting data sources and business rules. Partners with actuaries, data scientists, and other data professionals on process improvements while developing technical and communication skills through mentorship.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Leads Lennar’s third-party data analytics function and enterprise data strategy. Responsibilities include setting priorities, improving data infrastructure, overseeing data engineering and analytics practices, ensuring governance and security compliance, and partnering with senior leadership. The role designs scalable data architectures, integrates multiple data sources, develops dashboards and reporting solutions, applies advanced analytics and AI, and leads data projects and teams while mentoring staff and driving organizational data initiatives.

Analyzes complex data from diverse sources to evaluate programs, develop metrics, create datasets and dashboards, conduct statistical and qualitative research, and deliver recurring reports. Presents findings to stakeholders, supports operational decision-making, audits data quality, and collaborates across teams. The role also mentors junior analysts and manages reporting deliverables. Advanced experience with statistical analysis and visualization tools is required, with bioinformatics and multiomics experience preferred.

Designs and refines Microsoft Fabric architectures, builds metadata-driven ingestion frameworks, migrates Azure Synapse workloads, and develops PySpark and Spark SQL pipelines. The role includes data validation, reconciliation, CDC strategies, medallion architecture, Git-based CI/CD, governance and lineage assessment, and AI-assisted development with Claude Code. The consultant collaborates directly with client engineers through paired development, code reviews, architecture decisions, and knowledge sharing.

Designs and builds lakehouse data models, pipelines, data marts, semantic layers, and digital-twin integrations for power plant assets. Combines telemetry, financial, operational, maintenance, and reliability data using Azure and Databricks technologies. Develops visualizations and supports web-product delivery while collaborating with product managers, UX designers, software engineers, analysts, plant staff, and executives.

Leads end-to-end data and analytics architecture engagements, specializing in Microsoft Fabric platform design, implementation, modernization, migration, governance, integration, semantic models, reporting, performance, and cost optimization. Partners with clients and internal teams to translate business needs into scalable solutions, guides technical delivery, supports pre-sales pursuits, and mentors data professionals. The role is remote but requires travel four to six times annually and residence in an approved state.