From messy data to working products
I work across dashboards, data pipelines, analytical models, APIs, automation, quality controls, and production operations.
I’m Sarah Ocampo, a hands-on analytics and data product leader who bridges technical delivery, product thinking, and stakeholder needs. I build practical analytical products, lead teams, and turn ambiguous business questions into clear, usable solutions.
My work spans the full analytics lifecycle: understanding a decision problem, shaping requirements, integrating and validating data, building analytical products, leading delivery, gathering user feedback, and making sure the finished solution is secure, maintainable, and actually useful.
I work across dashboards, data pipelines, analytical models, APIs, automation, quality controls, and production operations.
I turn loosely defined business, operational, or healthcare questions into structured analytical approaches and intuitive decision-support tools.
I coordinate technical teams, mentor contributors, manage risk and quality, and create the documentation and processes that make delivery sustainable.
Client and product names are intentionally generalized. These examples focus on the problem, my role, and the kind of value created.
Led development of the user-facing analytics experience for a healthcare financial-strategy product built on large payer pricing datasets. Helped connect cloud data processing, customized user inputs, and interactive reporting to market analysis, growth strategy, and reimbursement decisions.
Led a small multidisciplinary team supporting a modernized analytical platform spanning a database, Power BI reporting, a web application, user testing, access, and recurring enhancements. Focused on usability, technical coordination, stakeholder feedback, and sustainable operations.
Led development of a provider-mapping and analytical approach that combined provider networks, claims, demographics, social determinants of health, and population data to identify access gaps, workforce needs, and potential investment priorities.
Translated stakeholder priorities into a functional analytics prototype on a tight timeline, added a decision-oriented scoring approach, and created extensive documentation and direct coaching so the client team could understand, implement, and maintain the solution.
I don’t think of analytics as “building a dashboard.” I think about the full product: the decision it needs to support, the data behind it, the people using it, the team building it, and what it takes to keep it reliable after launch.
My leadership style is closest to a player-coach model: I create clarity and accountability, help people solve hard problems, and remain technically credible without needing to own every detail myself.
Break broad goals into clear workstreams, dependencies, owners, and next actions.
Mentor developers and analysts, create documentation, and establish primary and backup ownership for critical processes.
Use automated QC, repeatable validation, security checks, and user testing rather than relying on last-minute review.
Use prototypes, feedback, usability testing, training, and documentation to make sure the product works in practice.
My strongest technical experience is in business intelligence, analytics engineering, cloud data workflows, and data-product delivery.
The best place to reach me is LinkedIn. I’m especially interested in internal analytics, business intelligence, decision intelligence, and data-product leadership opportunities.