Analytics Engineer

• Experiment with and combine data from a variety of data sources and with increasing complexity for use in analytics & reporting solutions.
• Own and maintain the MyInsights reporting portal, ensuring analytics and reporting solutions are organized, accessible, and aligned with customer needs and business priorities.
• Supports user training, acts as an ambassador of the solution, and partners with project teams to ensure smooth and launch and adoption
• Elicit and clarify business needs in order to design and develop appropriate analytics & reporting solutions that satisfy those needs
• Update and maintain analytics & reporting solutions according to industry standard methodologies
• Find opportunities to consolidate analytics & reporting solutions
• Establish and monitor adoption criteria based on utilization statistics
• Maintain relationships with customer groups and respond to business needs as applicable under the guidance of more senior associates
• Technical design, build and iteration of analytics & reporting solutions.
• Intakes feedback on prototypes and iterates continuously to improve user experience and customer engagement.
• Partners with IT and other tech vendors and partners for necessary technical development and support as required.
• Proposes mock and prototype low-fidelity designs using design thinking methodology.
• Understands how the solutions in the team work together and finds opportunities to drive consistent service experience across the suite of solutions.
• Work with customer teams to ensure proper insights are extracted from solutions
• Work in close partnership with more senior Associates, who will provide guidance and technical direction to build the Analyst’s skills.
• Develop more complex solutions, seeking the expertise of more senior associates as needed.

Senior Engineer, Analytics & Productivity Solutions

• Design and maintain production-grade data pipelines and curated datasets that directly support pharmacovigilance activities, including safety monitoring, analytics, and regulatory reporting.
• Ensure data engineering solutions produce reproducible, explainable, and trusted analytics outputs suitable for safety decision support and inspection readiness.
• Enable AI/ML and GenAI workflows for safety analytics, including: Feature engineering and feature store enablement, Embeddings, vectorized representations, and semantic retrieval, Retrieval-Augmented Generation (RAG) patterns for safety analytics tools.
• Own the end-to-end data lifecycle for safety analytics, from source system intake through transformation, serving, and downstream analytical consumption, ensuring data continuity, traceability, and integrity.
• Lead architectural decisions across ingestion, transformation, storage, and serving layers on GCP (e.g., BigQuery, Dataform, object storage).
• Design, implement, and automate scalable, reusable data pipelines and architectures to support evolving safety analytics needs.
• Establish and enforce data quality, validation, lineage, and observability standards for safety analytics datasets.
• Define and implement data governance practices, including data contracts, schema versioning, access control, stewardship, and lifecycle management.
• Ensure safety analytics data and systems meet Global Medical Safety requirements for reliability, auditability, and regulatory use.
• Apply GxP validation expertise to data pipelines, analytics services, and supporting infrastructure.
• Partner with quality and compliance teams to implement CSV/CSA-aligned controls, audit trails, documentation, and organizational change.
• Design and build APIs and microservices-based architectures to operationalize safety analytics and ML capabilities (e.g., feature serving, retrieval services, analytics backends).
• Deploy and operate services on GCP (e.g., Cloud Run, GKE) with a strong focus on security, scalability, and observability.
• Serve as a technical authority and data engineering leader for Safety Analytics within Global Medical Safety.
• Review and influence designs across pipelines, services, feature stores, and AI/ML integrations to maintain a high technical bar.
• Collaborate closely with safety scientists, epidemiologists, biostatisticians, analytics teams, IT, and platform partners to translate safety needs into scalable technical solutions.
• Communicate complex technical concepts and tradeoffs clearly to both technical and non-technical stakeholders.

Principal Data Engineer – Safety Analytics

• Experiment with and combine data from a variety of data sources and with increasing complexity for use in analytics & reporting solutions.
• Own and maintain the MyInsights reporting portal, ensuring analytics and reporting solutions are organized, accessible, and aligned with customer needs and business priorities.
• Supports user training, acts as an ambassador of the solution, and partners with project teams to ensure smooth and launch and adoption.
• Elicit and clarify business needs in order to design and develop appropriate analytics & reporting solutions that satisfy those needs.
• Update and maintain analytics & reporting solutions according to industry standard methodologies.
• Find opportunities to consolidate analytics & reporting solutions.
• Establish and monitor adoption criteria based on utilization statistics.
• Maintain relationships with customer groups and respond to business needs as applicable under the guidance of more senior associates.
• Technical design, build and iteration of analytics & reporting solutions.
• Intakes feedback on prototypes and iterates continuously to improve user experience and customer engagement.
• Partners with IT and other tech vendors and partners for necessary technical development and support as required.
• Proposes mock and prototype low-fidelity designs using design thinking methodology.
• Understands how the solutions in the team work together and finds opportunities to drive consistent service experience across the suite of solutions.
• Work with customer teams to ensure proper insights are extracted from solutions.
• Work in close partnership with more senior Associates, who will provide guidance and technical direction to build the Analyst’s skills.
• Develop more complex solutions, seeking the expertise of more senior associates as needed.

• Consult with teams across the organization to translate key product and business processes into technical data requirements. Use dbt, BigQuery, and SQL to build up Packback’s metrics layer to enable self-serve access to core analytics.
• Build, optimize, and orchestrate data pipelines with dbt, Airflow, and Python
• Establish data integrity standards and SLAs to ensure timely, accurate delivery of data
• Build insightful and reliable dashboards to track performance of core company metrics across the product and business
• Collaborate with business operations teams to define and train on best practices with respect to data modeling, analytics, and visualization
• Collaborate with leadership to conduct analyses and apply statistical methods to answer day-to-day questions or support larger initiatives
• Work within Packback’s research function with partner institutions and perform in-depth analyses to understand how Packback’s products are driving key student outcomes
• Consult on the adoption of new technologies that impact Packback’s data infrastructure

• Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes
• Responsible for running complex business performance, risk and operational analytics
• Develops analytical methods/models to assess market, credit and/or operational risk of new and existing financial products
• Leverages business/product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions
• Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance
• Establishes baselines for strategies and tracks actual performance to expectations
• Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk
• Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight
• Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies
• Designs/enhances standard reporting suites for regular product/portfolio reviews
• Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

Portfolio Analytics & Strategy Specialist – Data, Modeling & Analytics

• Design, develop, and maintain high-quality Power BI dashboards, KPI scorecards, and data models.
• Translate business requirements into well-structured analytical solutions across manufacturing, supply chain, quality, finance, and commercial areas.
• Ensure consistency and global alignment on metrics, definitions, and UI/UX standards.
• Optimize Power BI performance, including DAX calculations, data modeling, and incremental refresh.
• Partner with business process owners to enable self-service analytics.
• Extract, model, and transform data from multiple global systems.
• Support data pipeline development for analytics and reporting.
• Ensure data quality and reliability across reporting ecosystems.
• Help identify and scope early AI use cases.
• Configure and support AI toolsets such as copilots and embedded SaaS AI.
• Ensure safe and compliant AI usage in partnership with IT Security.
• Provide training and documentation for AI-enabled tools.

Data Analytics & AI Solutions Engineer

• Creates and leads the technical design and development of software solutions.
• Proposes & designs software solutions to address complex business needs.
• Prepares technical and procedural documentation required.
• Facilitates complex problem resolution.
• Provides technical guidance and support to colleagues.
• Reviews coding, testing, and documentation of software.
• Applies modern principles, methodologies and tools to advance business initiatives and capabilities.

Software Engineer Lead – ETL

• Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics.
• Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions.
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review.
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences.

Staff Analytics Engineer

• Execute platform administration and reporting delivery for customer analytics
• Build reporting views and dashboards for stakeholders
• Configure and maintain NICE CXone Interaction Analytics assets
• Perform validation, tuning, and troubleshooting of analytics outputs
• Support governance, documentation, and quality standards for analytics

Contact Center Analytics Developer

• Design and develop Qlik Cloud applications, including data models, dashboards, and self-service analytics experiences for business stakeholders
• Build and maintain Qlik data load scripts, associative data models, and calculated measures using set analysis and advanced expressions
• Extract, understand, and utilize data from Infor M3 Cloud ERP across relevant functional domains, including Sales, Supply Chain, pricing, invoicing, inventory, and customer master data
• Leverage your business expertise to validate data accuracy, interpret ERP transaction flows, and ensure reporting outputs reflect real-world business processes
• Source analytics-ready data primarily from a curated platinum layer in Snowflake
• Collaborate with data engineering to communicate data needs clearly, identify gaps in the platinum layer, and contribute a business perspective to decisions
• Support the active migration of business units from Infor BPCS (on-premises) to Infor M3 Cloud
• Participate in data validation efforts between BPCS source data and M3-migrated data to verify completeness and accuracy of historical and transactional records
• Partner closely with the BI Customer Coordination team.

Data & Analytics Developer

• Maintain and extend existing data mart builds: claims aggregation, financial metrics, clinical metrics, and curated analytical tables that power Innovu’s SaaS platform
• Author, test, and maintain metric SQL templates against Innovu’s canonical data model (medical claims, pharmacy claims, eligibility, provider, plan design)
• Build and maintain data pipelines in Python and SQL (Redshift, PostgreSQL, S3-based integrations)
• Profile and validate third-party data feeds during vendor onboarding (new data sources land regularly)
• Investigate data quality issues from warehouse transformation logic through final output
• Produce analytical deliverables for clients and internal stakeholders (PMPM trending, cohort analysis, cost drivers)
• Write clear documentation for metric definitions, data lineage, assumptions, and known limitations
• Participate in monthly rotation for support triage (incoming tickets), release management, and mart build monitoring
• Participate in code reviews and contribute to team standards

• Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient data analytics solutions.
• Possess in-depth knowledge and hands-on experience with Microsoft Fabric ecosystem (Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines).
• Understanding Microsoft Dynamics as a data source a big plus.
• Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data.
• Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability.
• Knowledge of Fabric capacity (CU) optimization a big plus.
• Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from various sources into a unified data platform.
• Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI and DAX language, enabling users to gain valuable insights from data.
• Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
• Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery.
• Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation.

Analytics Engineer jobs in Pennsylvania

See all jobs on JobTailor

Senior Engineer, Analytics & Productivity Solutions

Principal Data Engineer – Safety Analytics

Senior Engineer, Analytics & Productivity Solutions

Analytics Engineer

Portfolio Analytics & Strategy Specialist – Data, Modeling & Analytics

Data Analytics & AI Solutions Engineer

Software Engineer Lead – ETL

Staff Analytics Engineer

Contact Center Analytics Developer

Data & Analytics Developer

Analytics Engineer

Data Analytics Engineer