Senior Business Analyst focused on credit union industry, responsible for translating business needs into data products and regulatory reporting solutions.
Lead the DevOps backbone for clinical data products, ensuring data assembly, transformation, and publication to CDISC standards and risk‑based monitoring.
Responsibilities
Operate, improve, and scale data solutions for clinical trials
Ensure adherence to IRT and IT standards
Monitor and drive system change requests
Advise study teams on data product design
Own day‑to‑day application operations
Requirements
Bachelor's or master's degree in computer science or life science
The Business Intelligence Developer designs, develops, and maintains business intelligence solutions that promote data driven decision making across the organization.
Responsibilities
Utilizes business intelligence development tools to design, deploy, and maintain moderate to complex data models, extracts, subject area marts, stored procedures, and self-service reporting tools
Develops and maintains reports, data visualizations, and interactive dashboards
Maintains regular written and verbal communications with key stakeholders and leadership
Maintains and supports electronic medical record business intelligence data models, functions, and reports
Documents technical/business specifications, performs testing and data validation
Lead end-to-end D&A sales cycles, own and sell the full D&A portfolio, develop strategic account plans, lead discovery and value-based conversations, and build relationships with customer technology and data executives.
Compensation
For positions in this location, we offer a base pay of $125,450 - $207,000, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption
Own and sell the full D&A portfolio (Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics) across assigned accounts
Develop strategic D&A account plans to position ServiceNow D&A solutions as foundational to a customer’s AI, real-time analytics, and data strategy
Lead discovery, value-based conversations, technical presentations, and demos with data, analytics, and AI leaders
Develop relationships with customer technology and data executives, including CDAO level, data engineering, data governance, and analytics leaders
The Data & Analytics Solution Sales Executive (SSE) is a sales role built for experienced data and analytics sellers who have the curiosity, confidence, and technical acumen to transform a customer’s business through AI, Data and Analytics.
Compensation
For positions in this location, we offer a base pay of $125,450 - $186,600, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.
Responsibilities
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
Own and sell the full D&A portfolio (Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics) across your assigned accounts.
Develop strategic D&A account plans to position ServiceNow D&A solutions as foundational to a customer’s AI, real-time analytics, and data strategy with a focus on new business with existing ServiceNow customers.
Lead discovery, value-based conversations, technical presentations, and demos with data, analytics and AI leaders to uncover priorities, pain points, and accelerate AI ready data modernization initiatives.
Develop relationships with customer technology and data executives, including those at the Chief Data and Analytics Officer (CDAO) level, as well as leaders in data engineering, data governance, and analytics, in addition to the ServiceNow platform owner and CIO, to increase awareness and influence.
Requirements
Outage Management Specialist - Distribution System Operations
Supports the ADMS Reporting & Analytics group providing distribution reliability reporting, outage/storm analytics, and operational dashboards to improve system understanding.
Compensation
The estimated pay range for this role is $84,150-$151,200. The pay range for certain locations, including the state of New Jersey, includes a 20% differential to account for increased cost of living, making the pay range $100,980-$188,640.
Responsibilities
Support the development, operation, scaling, and continuous improvement of ADMS/OMS reporting, analytics, dashboards, data products, applications, interfaces, and integrations.
Be available to support storm restoration activities as needed, including work outside of normal business hours.
Develop and maintain distribution reliability reporting and analytics (SAIDI, SAIFI, CAIDI, CMI, CEMI).
Analyze outage, storm, weather, customer, circuit, equipment, work-management, and financial data to identify trends and risks.
Build and maintain repeatable reports, dashboards, queries, and automated processes using SQL, Power BI, Excel, Qlik, Databricks, Power Platform, Python, and Oracle/TOAD.
Supporting the Advanced Distribution Management Systems (ADMS) Reporting & Analytics group, focusing on distribution reliability reporting, Outage Management System (OMS) dashboards, and outage management tools.
Compensation
The estimated pay range for this role is $84,150- $151,200. The pay range for certain locations, including the state of New Jersey, include a 20% differential to account for an increased cost of living, making the pay range $100,980-181,440.
Responsibilities
Support the development, scaling, operation, and continuous improvement of ADMS/OMS data platforms, applications, interfaces, integrations, and related operational technologies.
Capture and document business and functional requirements that enable business-driven solutions.
Collaborate with Operations, Engineering, Information Technology, Analytics, Customer Service, Regulatory, and other organizations to translate business needs into functional requirements.
Develop and maintain requirements, process flows, data definitions, system documentation, support procedures, and user materials.
Support implementation, system testing, user acceptance testing, deployment, and post-production validation for application, integration, and data changes.
Requirements
Bachelor's degree in Engineering Technology, Information Technology, Computer Science, Data/Business Analytics, Business, or a related discipline
associate degree in a related discipline
high school diploma/GED
Nice to have: Project and process-management skills
Design, develop, and maintain enterprise BI and analytics solutions using Power BI and Tableau, translating business requirements into scalable, intuitive, production-ready products.
Locations (3)
United States, United States
Princeton, New Jersey, United States
Washington, District of Columbia, United States
Compensation
This position offers an anticipated base salary of $105,000- $135,000 annually. This position is eligible for an annual discretionary bonus based on individual and company performance.
Responsibilities
Design, develop, and maintain enterprise BI and analytics solutions using Power BI and Tableau
Design supporting data models and data marts, including dimensional models, star/snowflake schemas, semantic models, and aggregation strategies
Build and maintain production data pipelines and ETL/ELT processes using SQL and, where appropriate, Python, .NET, AWS-native services, Snowflake, or Databricks
Sr Solution Sales Executive Data & Analytics - Financial Markets
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
Compensation
For positions in this location, we offer a base pay of $139,400 - $230,000, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Lead end-to-end D&A sales cycles as a co-prime with the core account executive, from opportunity creation through close and ongoing adoption.
Own and sell the full D&A portfolio (Workflow Data Fabric, RaptorDB Pro, Data Apps, and Autonomous Data Analytics) across your assigned accounts.
Develop strategic D&A account plans to position ServiceNow D&A solutions as foundational to a customer’s AI, real-time analytics, and data strategy with a focus on new business with existing ServiceNow customers.
Lead discovery, value-based conversations, technical presentations, and demos with data, analytics, and AI leaders to uncover priorities, pain points, and accelerate AI ready data modernization initiatives.
Develop relationships with customer technology and data executives, including those at the Chief Data and Analytics Officer (CDAO) level, as well as leaders in data engineering, data governance, and analytics, in addition to the ServiceNow platform owner and CIO, to increase awareness and influence.
Optimize end-to-end BI performance, identifying and resolving bottlenecks across dashboards, semantic models, queries, data models, pipelines, databases/warehouses, and cloud infrastructure
Apply software engineering and DevOps practices, including version control, testing, CI/CD, release management, monitoring, and production support