• Partner with Sales Operations to track and interpret sales pipeline dynamics, identifying risks and opportunities that tie directly to financial goals • Drive the annual budgeting process and create trackable frameworks to measure performance throughout the year • Lead monthly forecasting, variance analysis, and provide clear, actionable commentary for leadership • Maintain and update our operating model, connecting sales pipeline activity and operational metrics to financial outcomes • Present insights and recommendations to senior leaders that shape sales strategy, operating decisions, and investment priorities • Provide ad hoc analysis that answers urgent business questions and informs strategic moves • Take on broader responsibilities as our division continues to grow, with increasing ownership and cross-functional visibility

• Build the initial data models and analytics infrastructure from the ground up for the newly launching DFS product. • Measure the incrementality and impact of new features through rigorous experimentation and statistical modeling. • Act as the primary data partner for the Principal Product Manager and the CPO of FMX, providing insights that directly shape product strategy. • Deliver high-quality SQL queries, data modeling in dbt, and automated reporting to meet the high demand for insights across the FMX ecosystem. • Partner with data scientists and engineers to find solutions to complex business problems and maintain the 'research lab to factory floor' connection.

• Create, deliver, evolve and maintain information through data products based on business needs; designing, building and improving dashboards and custom advanced data-delivery scripts for monitoring business metrics; • Contribute to discussions on information storage and data pipelines to support advanced analytical reporting, data analysis and exploration, using various data and visualization technologies. • Work closely with analytics engineers and data product managers to identify process improvements and align those changes with team practices. • Collaborate with stakeholders, providing guidance, data and analytical support for the development of new analyses and tools in support of strategic initiatives. • Propose/Collaborate/Develop and facilitate initiatives with the data governance team to ensure data integrity across distributed systems. • Encourage and promote DataOps practices in the development of data products. • Propose/Collaborate/Lead experiments, innovations and the resolution of complex problems. • Propose/Collaborate/Promote an analytical, data-driven decision-making culture at Blip through workshops, training sessions and handovers of analytical products. • Propose/Collaborate/Promote and disseminate best practices in data governance and data quality. • Share knowledge and support the team's deliverables.

• Lead the data analytics, metrics, and evaluation layer of MyHealtheVet. • Support modernization and sustainment of the Liferay portal. • Partner closely with team delivery leads to implement standards and best practices. • Capture and deliver metrics to stakeholders. • Analyze, manipulate, clean, and/or process large data sets using statistical software languages. • Manage team working sessions for maintaining high quality data and reporting. • Collaborate with program teams on larger projects and mentor junior team members. • Lead the development of innovative solutions for complex program problems.