Top Data & Analytics Jobs

Develop and maintain interactive Power BI dashboards and reporting tools tracking program performance, operational outcomes, and AI pilot progress. Gather reporting requirements, define metrics, integrate data from multiple sources, create actionable visualizations, analyze trends, validate calculations, and support testing, troubleshooting, and documentation. Collaborate with technical and functional stakeholders to ensure accurate, consistent, and useful reporting.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Supports business development and strategy through competitive research, market comparisons, business intelligence, and performance reporting. Analyzes gaming, tourism, hotel, and revenue data to evaluate markets, expansions, property opportunities, and competition. Maintains industry databases, prepares corporate and board reporting materials, and uses generative AI, automation, and analytical tools to improve research and workflow efficiency.

Owns Care.com's Voice of the Customer program, analyzing large-scale survey, review, account-management, and contact-center feedback. Leads a VOC Insights Analyst and translates quantitative and qualitative findings into actionable recommendations for Product, Design, Operations, and other stakeholders. Oversees NPS, CSAT, and customer-effort measurement frameworks, survey methodology, taxonomy, reporting, and program expansion. Uses AI and text analytics to identify themes and trends, influence roadmaps, and improve member experiences.

Architect, build, and operate scalable data platforms processing billions of daily events through real-time and batch pipelines. Own production reliability, data quality, security, observability, and performance while partnering with engineering, analytics, data science, growth, and business teams. Develop frameworks and datasets, make architectural decisions, evaluate technologies, mentor engineers, and help define the platform roadmap.

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.