Top Data & Analytics Jobs

Designs scalable data and AI architectures, data pipelines, warehouses, and integrations. Advises clients on secure, resilient, flexible, and cost-effective cloud data solutions; translates business needs into technical requirements; evaluates emerging technologies; and connects technology decisions to measurable outcomes. Requires expertise in data modeling, governance, quality, security, ETL, cloud platforms, and big data tools.

Enters, reviews, cleans, and maintains driver and vehicle test data in customer databases and tracking files. Analyzes data for errors, duplicates, outliers, patterns, and trends; communicates findings and maintains documentation. Collaborates with drivers, test engineers, and project managers while following customer policies, safety procedures, and deadlines. The role also includes administrative recordkeeping, including labor and expense reports.

Leads digital experimentation and decision science across the organization, including opportunity sizing, hypothesis development, test design, metrics selection, analysis, reporting, and implementation. Serves as the experimentation subject matter expert, manages testing tools and governance, trains internal teams, supports user research, and translates findings into recommendations and testing roadmaps that improve donor and supporter engagement and conversion.

Conducts quantitative and qualitative consumer research, manages seasonal style and color testing, analyzes survey and sales data, and translates findings into dashboards, reports, presentations, and communications. Coordinates qualitative research logistics, maintains research documentation, identifies consumer trends, and partners with cross-functional teams to improve product, merchandising, marketing, and business decisions.

Analyzes customer support operations data to support digital transformation initiatives. Collects and validates data, develops dashboards and recurring reports, defines metrics, identifies trends and risks, and translates findings into recommendations. Partners with program managers, IT, operations leaders, and stakeholders to evaluate digital support tools, monitor performance, measure customer experience and containment outcomes, and improve support efficiency. Supports requirements gathering, documentation, business reviews, and special analysis projects.

Analyzes marketing performance, funnel trends, attribution, pipeline, productivity, and ROI to guide strategic decisions. Builds dashboards and reporting frameworks, leads end-to-end analytical projects, translates ambiguous questions into actionable recommendations, and improves data quality, governance, and reporting systems. Partners with Marketing, Sales, Customer Success, Finance, and analytics teams in a B2B SaaS environment.

Performs quality assurance on labeled autonomous-vehicle sensor data, identifies error trends and discrepancies, tests tools, mentors team members, provides feedback to labeling partners, creates clarification materials, and escalates quality concerns. The role requires sustained attention to large data volumes, clear bug and trend reporting, and collaboration with training and operations teams.

Designs and maintains enterprise data architecture, models, databases, integrations, cloud platforms, governance frameworks, and AI-ready data solutions. Partners with engineers and business stakeholders to translate requirements into scalable technical designs. Establishes standards for security, reliability, performance, data quality, lineage, disaster recovery, and compliance. Supports reporting, business intelligence, analytics, machine learning, and enterprise data modernization initiatives using Microsoft Fabric, Azure, SQL Server, Azure SQL, Data Factory, warehouses, lakes, and lakehouses.

Lead design and implementation of large-scale data pipelines, ETL, and warehousing. Build and manage databases, ensure data quality/security, collaborate with analysts and scientists, evaluate new technologies, mentor junior engineers, and manage project delivery.

Leads the enterprise analytics and business intelligence function, overseeing Snowflake and Power BI strategy, data governance, KPI standardization, reporting, data quality, and executive decision support. Partners with Finance, Operations, Revenue Cycle Management, IT, and practice leaders to reconcile and analyze financial, operational, clinical, workforce, and practice performance data. Builds scalable analytics processes, develops the analytics team, and advances self-service reporting across a growing multi-location healthcare organization.