Post Market Surveillance Data Analyst
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Post Market Surveillance Data Analyst
- 2026-39392
- Budapest, Hungary
- Research & Development
- Hybrid
As Data Analyst, you will:
- Monitor complaint records logged by Product Support in Salesforce and confirms data completeness (device identifiers, event codes, complaint category) as they flow into the PMS data warehouse for trending.
- Refresh and monitors Power BI dashboards tracking complaint volume, rate trends, and signal thresholds by product line; investigate any dashboard anomalies or data refresh failures at the Snowflake layer.
- Run SQL queries in Snowflake to pull ad hoc trend cuts for a QA engineer investigating a potential field issue, and documents the query logic so it can be reused for the next trending cycle.
- Join the weekly complaint trending / signal detection meeting with QA, RA, and Post-Market Operations, presenting Pareto charts and rate trends, and flagging any category approaching an alert threshold.
- Update trending reports and dashboard documentation, respond to ad hoc data requests from CAPA or regulatory submissions teams, and log any data quality issues found back to Product Support, the owners of complaint intake in Salesforce.
- Partner with QA/RA on a recurring basis to validate that new or modified reports meet data integrity expectations, and keep dashboard logic aligned with evolving IMDRF/MDR coding conventions.
How You’ll Make an Impact
- Shortens the time from complaint intake to signal detection by building and maintaining reliable, automated Power BI dashboards on top of Snowflake-modeled complaint data — replacing manual, spreadsheet-based trending.
- Improves the accuracy and defensibility of complaint trending used in regulatory submissions, PSURs/PMSRs, and management review, by strengthening data quality checks between Salesforce and the analytics warehouse.
- Gives QA and Post-Market Operations leadership earlier visibility into emerging product issues, directly supporting faster CAPA initiation and reduced patient/customer risk.
- Builds a scalable data infrastructure and reporting library (standardized queries, refreshable dashboards, documented metric definitions) that reduces reliance on one-off analysis and institutional knowledge.
- Acts as the analytical bridge between complaint handling, quality engineering, and regulatory teams — translating raw complaint data into decision-ready trends, Pareto analyses, and rate calculations.
- Strengthens audit and inspection readiness by ensuring dashboards, trending logic, and underlying data pulls are traceable, reproducible, and aligned with QMS/regulatory requirements.
- Championing responsible AI adoption within the PMS analytics function, with a note on keeping outputs validated/defensible in a regulated environment.
What You Bring
- Bachelor's degree in Data Science, Statistics, Life Sciences, Engineering, or a related field required; Master's degree a plus.
- 5+ years in data analysis, reporting, or dashboard development, ideally within QA, complaint handling, or another regulated-industry function; 2+ years working with SQL-based cloud data warehouses (e.g., Snowflake) and Power BI preferred.
- Hands-on experience in a Quality Assurance or regulated-industry environment (medical device, diagnostics, pharma, or similar), with working knowledge of complaint handling and post-market surveillance processes.
- Demonstrated experience building and trending complaint or quality data — identifying rate trends, running Pareto/root-cause analysis, and communicating findings to cross-functional stakeholders.
- Proven dashboard development skills in Power BI, including data modeling, DAX, and designing dashboards for non-technical business and quality audiences.
- Strong SQL and data warehousing skills in Snowflake (or a comparable cloud data warehouse), including writing efficient queries and understanding data pipeline/ETL fundamentals.
- Familiarity with Salesforce as a complaint/case management source system, including how case data structures translate into downstream reporting.
- Analytical rigor and attention to detail — comfortable validating data quality, reconciling discrepancies, and documenting methodology for regulatory and audit scrutiny.
- Clear communication skills, able to present trends and technical findings to QA, RA, and operations stakeholders in a way that supports decision-making.
- A collaborative, proactive mindset — someone who partners well with QA/RA process owners and treats data quality and documentation as part of the job, not an afterthought.
Who we are: For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Recently voted a Best Place to Work, Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.
Benefits: Bio-Rad's biggest asset is its people, and the reason why our Total Rewards deliver programs that provide value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Our robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee’s work and life cycle. We’re proud to offer a variety of options, including:
- Life and accident insurance
- Private Health Care Services – unlimited examinations, checkups in numerous specialties free of charge
- Competitive salary and cafeteria
- 100% commuting allowance for non-Budapest residents, monthly BKK pass
- Annual bonus
- Annual salary review
- Marriage and childbirth allowance
- School start allowance
- Loyalty award
- Employee Referral Program with remarkable referral bonus
- All You Can Move contract possibility/gym facility usage for free of charge
- Hybrid working model (3 days onsite and 2 days home office. Our office is located in Budapest, Futó u. 47, 1082)
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