Top Analysis Reporting Jobs in Baltimore, MD

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

The Senior Data Solutions Support Specialist oversees the onboarding and support of data solutions, troubleshooting technical issues, and ensuring customer satisfaction through effective communication and problem-solving.

Lead end-to-end enterprise data migrations and consolidations from legacy ERPs to cloud platforms. Design cloud architecture, build automated ETL/ELT pipelines and ontology-driven schemas, implement CDC and validation frameworks, deliver dashboards and migration controls, advise executives, and develop reusable accelerators while mentoring teams and enabling client post-migration governance.

Lead client-facing insights engagements translating Circana data (POS, consumer panel, syndicated) into actionable recommendations. Drive client growth, identify expansion opportunities, collaborate cross-functionally, present to senior stakeholders, use proprietary platforms, and ensure client success while managing multiple workstreams.

Serve as a client-facing analytics partner for a major US retailer, delivering data-driven analyses and actionable insights using syndicated and retail data. Lead project scoping, multi-source integration, storytelling, and presentations while partnering cross-functionally to drive client outcomes.

Own revenue reporting and dashboards (funnel, pipeline, forecasting, ARR), analyze trends and variances, provide actionable insights to Sales, Marketing, and CS, support forecasting and experiments, collaborate on Salesforce/reporting logic and data quality, and document metrics and processes to scale revenue operations.

Partner with a product team to design and implement product analytics: build dashboards, instrument and QA event tracking, run funnel/cohort/retention analyses, support A/B testing, and enable self-service reporting to inform product strategy and improve user experience.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

Design and execute HEOR studies (cost-effectiveness, budget impact, real-world evidence) using large claims datasets; collaborate cross-functionally; engage stakeholders; produce scientific deliverables (abstracts, posters, manuscripts); and communicate HEOR insights to support adoption, access, and reimbursement for genetic testing services.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

Lead data strategy initiatives for clients, enhancing technology stacks and implementing data solutions using cloud platforms while mentoring teams and driving business development.