Top Data & Analytics Jobs

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Manage data analytics for PULSE Risk & Compliance by analyzing large datasets, identifying transaction anomalies and risk exposure, validating models, improving reporting and processes, and supporting compliant data strategies. The role involves Python-based programming, BI, database and data-storage design, strategic testing, cross-functional collaboration, project leadership, and people management in a hybrid environment.

Build and maintain scalable data pipelines, data applications, planning tools, APIs, and automated quality processes for network capacity planning. Develop ETL/ELT workflows, anomaly detection, monitoring, metadata and lineage solutions, and machine learning or AI-enabled applications. Analyze data, optimize performance, document systems, and collaborate with engineering, product, operations, software development, and data science teams to deliver reliable production solutions.

Leads the design, implementation, and training of decision-support tools and reports for leadership and sales teams. Gathers and documents reporting requirements, performs ad-hoc analysis, collaborates with senior management, and delivers actionable insights to support business decisions and sales effectiveness. The role also trains junior analysts and sales partners, provides backup support, and contributes to business initiatives.

Designs and scales enterprise data platforms, pipelines, and integration frameworks for structured and unstructured data. Builds Snowflake and cloud-based AWS/GCP solutions, leads legacy-platform modernization and ETL/ELT implementation, and develops AI-ready datasets and data products. Establishes data governance, security, monitoring, and CI/CD practices for reliable, compliant platforms supporting analytics, machine learning, generative AI, and automation.

Supports digital customer-experience analysis by gathering research, customer behavior data, competitive intelligence, and performance metrics. Assists with reports, project plans, ticket submissions, presentations, and cross-functional execution. Uses Adobe Analytics and other reporting tools to develop actionable insights, support strategic initiatives, and improve customer satisfaction, loyalty, retention, and business growth through Lowe’s Launchpad rotations and technology training.

Owns Sales and Servicing data as a trusted, governed, discoverable, and AI-ready enterprise asset. Defines data standards, quality controls, metadata, lineage, and business definitions while resolving complex data issues. Partners with AI, engineering, product, governance, and business leaders to enable sales effectiveness, client insights, servicing automation, intelligent routing, and self-service use cases. Leads cross-functional decision-making and translates complex data concepts into actionable business recommendations within a regulated financial services environment.

Owns complex GenAI Standards of Care evaluations, reviewing architectures, data sources, testing, controls, and governance evidence. Identifies risks and control gaps, provides remediation guidance, supports governance dashboards, escalates systemic issues, and improves governance processes and documentation. The role partners with technical teams, solution owners, and leadership to ensure GenAI use cases meet enterprise standards and manage data and technology risks.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Analyze go-to-market performance across Sales, Marketing, and Client Success, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and data marts using Salesforce and modern data-stack tools. Own data quality, documentation, BI-as-code contributions, and AI-enabled analytics workflows. Partner with stakeholders to turn ambiguous business questions into actionable recommendations and deliver results in agile two-week sprints.