Top Senior Analytics Jobs in Baltimore, MD

The Senior Solutions Architect will lead the design and optimization of scalable data platforms, focusing on cloud-based environments, big data technologies, and data visualization for federal data analytics initiatives.

Lead Power BI developer for Legal, Compliance, Audit & Risk and Enterprise Risk Management. Own end-to-end reporting, data ingestion (Power Query), data modeling (DAX), dashboard development, automation, data quality, governance, and stakeholder-facing analysis and presentations. Support ad hoc analysis and incorporate AI overlays.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Lead end-to-end COGS and gross margin analysis for hardware and software products, model cost-saving scenarios, answer ambiguous executive questions, partner with data engineering/finance/product, build reliable datasets and analytical frameworks, and present recommendations to C-suite stakeholders.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

Lead end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

The Senior Analyst will contribute to data enablement, enhance data access, develop strategic data sets, and support analytics solutions while collaborating with stakeholders to improve overall data management and governance.

Lead finance-focused data and analytics initiatives: build scalable data models and Power BI dashboards, develop a Finance AI roadmap, analyze margin/utilization drivers, support profitability and pricing strategies, and deliver executive-ready insights partnering with FP&A, Operations, IT and senior leadership.

Design, develop, validate and maintain enterprise Power BI dashboards, reports and datasets. Translate business needs into technical specifications, optimize SQL, perform source data analysis and data modeling, and collaborate with subject matter experts to deliver BI solutions. Ensure data quality, security settings, and adherence to project methodology.

Own and build scalable analytics models, metric definitions, and dashboards (customer-facing and internal). Partner with engineering to design data flows and instrumentation (BigQuery, S3, PostHog). Translate stakeholder needs into analytics plans, triage requests, and surface insights via Looker/Observable. Set analytics stack direction and ensure data quality.

Execute underwriting and case-valuation analytics: write and optimize SQL, build dashboards, maintain valuation models, forecast case outcomes, monitor portfolio performance, and translate insights for operational and marketing stakeholders.

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, and drive data-informed recommendations end-to-end to influence leadership and deliver measurable business outcomes.

Own the end-to-end analytics function embedded in a core business area (growth, product, AI, partnerships). Define problems and metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive outcomes with cross-functional teams.

As an Analytics Engineer, transform raw data into metrics, manage data pipelines, ensure data integrity, and collaborate with teams for analytics solutions.

Lead a centralized Decisioning Analytics team to measure and optimize Pega-powered Next-Best-Action decisioning. Own measurement frameworks, ADM performance, transparency, governance, cross-functional partnerships, NBA analysis, roadmap, and team development to drive measurable customer and financial outcomes.

The Analytics Lead will guide data-driven decision-making, develop measurement frameworks, forecast revenue, and mentor an analytics team, ensuring effective communication of insights.

Lead Oracle Cloud reporting initiatives, ensuring data accuracy and performance while mentoring junior analysts and collaborating with stakeholders.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Senior Data Analytics Engineer will develop data pipelines, support data-driven decision-making, collaborate with stakeholders, and improve data quality and processes.

Lead architecture and execution of Grafana's marketing data stack and analytics practice. Build forecasting, predictive, and causal models, design BigQuery schemas, deploy agentic AI and automated pipelines, partner with GTM leadership, and deliver executive-grade insights to drive demand generation and ROI.

The Director of Content Supply Chain Analytics leads client engagements, develops measurement frameworks, governs content taxonomies, and provides strategic guidance on analytics solutions to enhance marketing outcomes.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.