> Markdown version of [/jobs/ext/4296257-data-analyst](https://www.wearedevelopers.com/jobs/ext/4296257-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Abbott Laboratories - **Location:** Alameda, CA, United States - **Salary:** $105,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Information Engineering, Extract Transform Load (ETL), Data Visualization, Document-Oriented Databases, Power BI, Tableau (Software), Data Processing, Build Management, Data Analytics - **Published:** October 6, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3008167555-2 ## About the Role * Data analysis * SQLPython or RStatistical modeling * Data visualization (Tableau/Power BI) * ETL and data wrangling * Clinical and healthcare data literacy * Dashboard development * A/B testing and experimentation * Requirements gathering and documentation ## Description Abbott Laboratories seeks a Data Analyst to transform complex biotech and pharmaceutical data into actionable insights that drive clinical, operational, and commercial decisions. In this role, you will collect, clean, and analyze large datasets from clinical studies, diagnostics, and business operations; build dashboards and visualizations; and partner with R&D, product, and commercial teams to optimize outcomes. You'll thrive in an inclusive, mission-driven culture that values innovation, continuous learning, and work-life balance, with global growth opportunities and competitive benefits., * Collect, clean, and validate large clinical, diagnostic, and operational datasets. * Perform statistical and exploratory data analysis to uncover trends and opportunities. * Design and build dashboards and visualizations for business and scientific stakeholders. * Translate business questions into analytical approaches and actionable insights. * Collaborate with R&D, product, and commercial teams to support data-driven decisions. * Develop and document data pipelines, queries, and reporting processes. * Evaluate data quality and work with IT and data engineering to resolve issues. * Support forecasting, experimentation, and performance measurement initiatives. * Communicate findings clearly through presentations, reports, and visual stories. * Ensure compliance with data privacy, regulatory, and security standards in healthcare.