Top Senior Data & Analytics Jobs

Leads the design, development, testing, tuning, and optimization of financial crimes detection models across AML, fraud, KYC, and sanctions. Performs statistical analysis, threshold calibration, back-testing, model efficacy assessments, feature engineering, and root cause analysis. Configures financial crimes platforms, monitors model performance, establishes testing and governance standards, and partners with Model Risk Management and leadership on validation, audit, regulatory, and risk-related initiatives.

Own executive reporting and data strategy for autonomous vehicle system performance. Lead the weekly Software Performance Review, develop board-level reporting, analyze robotics and autonomy metrics, translate technical findings into strategic recommendations, and establish data visualization standards. Partner cross-functionally across engineering and performance teams, create data-driven feedback loops, and mentor Business Analytics and Business Intelligence engineers.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Develop and maintain commercial reporting and digital enablement tools for sales, finance, marketing, and operations teams. Provide ad hoc analyses, dashboards, business reviews, trend analysis, and actionable insights to support resource deployment and decision-making. Collaborate with Salesforce product owners on functionality and feature rollouts, coordinate strategic initiatives, and translate complex data into business recommendations.

Conducts research, data analysis, interviews, and reporting to identify eCommerce site performance and customer experience improvements. Manages data and reporting requests, prioritizes work by business impact, defines KPIs with stakeholders, translates business needs into documentation and deliverables, and presents findings to management. Requires SQL, data analysis, eCommerce experience, cross-functional collaboration, and strong communication skills.

Designs and leads enterprise-scale data platforms, pipelines, lakehouses, warehouses, and streaming solutions. Establishes data modeling, governance, security, architecture, performance, scalability, reliability, and cost standards. Collaborates with engineering, analytics, machine learning, and business teams while mentoring engineers and advancing data platform best practices. Requires extensive experience with Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, cloud platforms, and modern data architectures.

Build and maintain business intelligence dashboards, reports, and analytical views in Sigma Computing. Partner with data engineering and business stakeholders to define KPIs, develop scalable data models, improve data quality and governance, and deliver trusted self-service insights. Support Snowflake and dbt-based solutions, automate reporting workflows, and contribute to Agile planning and delivery using Jira and Confluence.

Lead marketing measurement, reporting, business intelligence, attribution, and advanced analytics for client engagements. Connect media and digital behavior data to leads, conversions, customers, and revenue. Oversee SQL-based analysis in Snowflake, automated reporting, data quality, governance, implementation testing, and dashboard delivery. Manage client relationships, external agencies, cross-functional stakeholders, and analyst development while translating complex findings into actionable investment recommendations.

Owns web and conversion analytics across the eCommerce journey. Analyzes customer behavior, funnels, campaigns, merchandising, retention, and commercial performance; builds dashboards and measurement plans; supports experimentation; validates tracking and data quality; develops forecasts and business cases; and presents actionable insights to senior leaders. Partners with cross-functional teams and mentors analysts while establishing analytics standards and best practices.

Designs, builds, and supports scalable data pipelines, integrations, transformations, and services for Mayo Clinic’s biomedical research platform. Works with genomic, omics, clinical, laboratory, imaging, and multimodal datasets; harmonizes data, maintains metadata and provenance, validates quality, and enables governed access. Partners with investigators, bioinformaticians, scientists, and analytics teams to support research, machine learning, and precision medicine applications using Google Cloud and modern data engineering tools.