Senior BI Development Analyst

Hologic•Newark, DE

12h•$94,000 - $147,000

About The Position

The Sr. BI Development Analyst is responsible for developing, maintaining, and optimizing scalable analytics solutions that support Post Market Quality (PMQ) surveillance, early signal detection, and product performance monitoring. This role builds interactive dashboards, automated reporting pipelines, and analytical models using governed data sources in collaboration with Corporate Quality and Corporate IT. The Analyst ensures high data quality through rigorous validation, partners with PMQ Specialists and Post Market Surveillance Engineers to strengthen KPI frameworks,and contributes to predictive analytics capabilities that enhance visibility into product risks and customer experience. This position plays a key role in maturing the analytics infrastructure required to support divisional and cross enterprise post market insights.

Requirements

Bachelor’s degree in Data Science, Engineering, Computer Science, Statistics, Analytics, or related technical field required.
Typically 5 plus years of experience in business intelligence, data analytics, or analytics engineering roles.
Experience developing BI dashboards (Power BI strongly preferred) and working with governed semantic models.
Proficiency with Power BI
Strong understanding of data validation, statistical analysis, and exploratory data analysis
Ability to translate complex analytical needs into intuitive dashboards and tools
High attention to detail, data accuracy, and documentation discipline
Strong communication skills for cross‑functional work and presenting analytical insights

Nice To Haves

Experience in medical device, regulated, or quality‑related environments preferred.

Responsibilities

Design, build, and maintain scalable, interactive Power BI dashboards for post market surveillance, complaint trending, and quality performance
Translate analytical requirements from PMQ Specialists, PQEs, and PMS Engineers into intuitive, actionable visualizations
Develop automated data workflows and reporting tools to reduce manual effort and improve timeliness of post market insights
Build and maintain analytical and statistical models to support trend detection, anomaly identification, and early signal analytics
Collaborate with Corporate IT to ensure proper use of governed semantic models and alignment with enterprise data architecture
Structure PMS datasets for downstream analytics, ensuring models and dashboards remain scalable and maintainable as data complexity grows
Perform rigorous data validation, completeness checks, and accuracy verification to maintain high‑quality PMS datasets
Identify data quality issues, propose corrective actions, and partner with Corporate Quality, PQEs, and IT to drive resolution
Partner with PMQ Specialists to support KPI development, trend analysis, and metric reporting (including COPQ and customer‑experience KPIs)
Collaborate with the Post Market Surveillance Engineers on advanced analytics, model development, and early‑signal detection
Work with Corporate Quality and Corporate IT to align divisional analytics tools with enterprise governance, security, and data‑management standards
Identify opportunities to automate manual reporting processes and improve efficiency across PMS analytics workflows
Recommend enhancements to data models, dashboards, and analytical processes that support divisional quality and customer‑experience goals
Stay current on BI best practices, analytics technologies, and data‑visualization trends to elevate the maturity of PMS analytics
Maintain documentation for dashboards, data models, validation procedures, and data‑flow logic
Provide slide deck data, extracts, and analytics summaries to support investigations, review boards, and leadership reporting
Ensure all analytics tools and reporting outputs meet corporate standards for accuracy, reproducibility, and compliance