Top Data & Analytics Jobs

Leads enterprise data architecture initiatives by translating business requirements into scalable data designs, assessing impacts across systems and pipelines, modernizing legacy environments, and guiding AI/ML data solutions. Partners with data leaders and stakeholders, manages project plans, monitors implementation progress, and communicates risks and mitigation plans. Requires expertise in cloud and hybrid environments, data platforms, data engineering or architecture, and team or project management.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Support 4–8 clients by analyzing digital experience data, connecting technical findings to business outcomes, identifying root causes, and expanding platform adoption. Manage complex engagements, present analyses and proof-of-concept results, coordinate with Support and account teams, create executive value reports, and mentor newer analysts. The role requires prioritization across multiple client teams and occasional travel for annual meetings or strategic client engagements.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Support the design, development, testing, deployment, and production support of data analytics processes. Analyze data from multiple sources, develop SQL queries, ETL pipelines, dashboards, and visualizations using SAS and Power BI, and provide reporting and recommendations. Collaborate on Agile Scrum projects, resolve data and job issues, and deliver solutions under tight deadlines with minimal guidance.

Develop causal economic analyses using Mastercard and public datasets. Translate business questions into identification strategies, build econometric and causal machine-learning models, lead projects from data ingestion through validation, and communicate findings to clients and stakeholders. Guide best practices, prototype scalable analytics, conduct research, and apply experimentation methods across business contexts.

Supports data analysis, monitoring, and automation projects within AI Operations. Analyzes operational data, prepares datasets, identifies improvement opportunities, assists with automation that reduces manual monitoring, documents practices, gathers requirements, shares findings, and communicates technical work to nontechnical audiences.

Analyze complex data to solve business problems, build self-service data solutions, develop dashboards and metrics, and deliver strategic insights. Responsibilities also include data quality management, metadata and lineage governance, access controls, and collaboration with technology teams. The role requires scripting, data querying, business intelligence visualization, AWS development, and experience with structured and unstructured data.

Leads service delivery analytics and planning for Trust & Safety Operations. Owns KPI, SLA, productivity, quality, and operational reporting; builds dashboards, forecasting models, workforce plans, and monitoring frameworks. Manages the analytics and planning team, supports vendor budgeting and cost models, identifies operational risks and process improvements, and translates data into recommendations for leadership and service delivery teams.

Leads complex quantitative and qualitative analysis for Claims Leadership, producing forecasts, reports, dashboards, KPI frameworks, and actionable recommendations. Analyzes multiple data sources, identifies trends and root causes, supports strategic decisions, documents processes, and consults with cross-functional partners. Coaches peers on analytical methods and applies statistical research, visualization, and data storytelling techniques to improve business outcomes.

Leads the architecture and delivery of Salesforce Marketing Cloud and Data Cloud initiatives for partner marketing. Designs data models, knowledge graphs, identity resolution, batch and streaming pipelines, APIs, zero-copy integrations, and AI-enabled marketing workflows. Establishes orchestration, monitoring, reliability, CI/CD, governance, and platform standards while mentoring engineers and partnering with marketing, data science, and Salesforce stakeholders.