Develop and support analytics engineering platform using enterprise cloud-native technologies and toolsets (e.g., OpenShift, Kubernetes)
Enable rapid development and deployment of data apps and analytics tools (such as JupyterHub, Airflow, MLflow, Plotly Dash, Streamlit, Flask, FastAPI)
Build and support modern data management solutions, including data lakehouse architectures (e.g., Apache Iceberg), data virtualization, and robust data pipelines for streaming and batch workloads
Collaborate directly with traders and portfolio managers to understand business problems, deliver proof-of-concepts, and transform current practices (e.g., migrating Excel/VBA/C++ workflows to Python and API-based solutions)
Set and enforce analytics best practices: code quality, CI/CD (Jenkins), testing, documentation, and security (Python 3.9+, SonarQube, IAST/SAST)
Drive AI/ML-driven analytics experience, including model lifecycle management, explainability, and compliance with evolving regulatory standards
Involved in designing and operating multi-tenant environments, Helm-based deployments, and analytics app lifecycle management
Prioritize reliability and redundancy for daily business operations; support RBAC and data governance for risk and market data domains
Proactively identify challenges, troubleshoot issues, and continuously learn new knowledge and business concepts to deliver effective solutions.
Requirements
2–3 years’ experience building and operating cloud-native platforms (OpenShift/Kubernetes or similar)
Strong Python and SQL skills; familiarity with modern data and ML toolsets (open source preferred)
Experience with CI/CD (Jenkins), containerization, and app hosting for data-driven applications
Understanding of data lakehouse concepts, data pipelines, and data governance
Ability to work closely with business users, quickly learn financial domain concepts, and translate needs into technical solutions
Demonstrated proactive problem solving and commitment to active learning
Bachelor’s degree required; Master’s a plus
Knowledge and practice of web development
Knowledge and practice of API
Excellent communication and documentation skills.
Benefits
medical/prescription drug coverage (with a Health Savings Account feature)
dental and vision options
employee and spouse/child life insurance
short and long-term disability protection
401(k) with PNC match
pension and stock purchase plans
dependent care reimbursement account
back-up child/elder care
adoption, surrogacy, and doula reimbursement
educational assistance, including select programs fully paid
a robust wellness program with financial incentives
maternity and/or parental leave
up to 11 paid holidays each year
8 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service.
Manager of HR & Corporate Functions data and analytics engineering team at Pfizer. Responsible for data architecture, data modeling, and team leadership across various HR domains.
Analytics Engineer transforming raw data into actionable insights. Collaborating on data projects for innovative retail solutions using Python, SQL, and GCP.
Analytics Engineer transforming data into actionable insights for Moonpig Group's platform. Collaborating across departments to drive data - driven decisions with data transformation and engineering skills.
Analytics Engineer developing robust ETL/ELT pipelines and data models for Cleo & You GmbH. Collaborating with management to drive data - driven insights and sustainable growth.
Analytics Engineer developing modern analytics solutions in SAP BW/4HANA. Supporting users in analyzing reporting requirements and delivering data visualizations.
Lead Analytics Engineer designing and optimizing Power BI analytics solutions at Vizient. Collaborating on enterprise - grade projects with cross - functional teams in health care analytics.
Develop modern analytics solutions in SAP BW/4HANA with SAP Analytics Cloud. Collaborate with users to analyze reporting requirements and implement architectural solutions.
Data Analytics Specialist at Duke Health responsible for data collection and analysis for programmatic decisions. Collaborating with leadership to interpret trends in philanthropic operations.
SCM Analytics Developer partnering with Supply Chain to gather data and provide insights. Responsible for developing reports and automating processes using AWS and other analytical tools.
Senior Analytics Engineer driving data insights at Southern Glazer’s. Collaborating across teams to build impactful data products and solutions leveraging advanced analytics in beverage distribution.