Senior Engineer - SAP Analytics Cloud

Job Description:About the Role:As Senior Engineer - SAP Analytics Cloud - you will design, develop, and implement advanced analytics and planning solutions.You will architect, automate, and optimize high-performance SAP Analytics Cloud (SAC) models and stories that empower leadership with financial insights. You will collaborate across finance and enterprise technology teams to bridge the gap between complex data architecture and strategic decision-making. You will report to the Manager of Analytical Engineering.About the Team:Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.You Will:Design and build end-to-end SAC solutions, including data models, stories (dashboards), and analytical applicationsImplement SAC Planning models, leveraging Data Actions, Multi-Actions, and Advanced Formulas to support budgeting and forecastingConfigure live and import data connections between SAC and various sources (S/4HANA, Datasphere, and non-SAP sources like Snowflake)Conduct performance tuning for stories and data models to ensure high-speed data rendering and a seamless user experiencePartner with FP&A and business leads to gather requirements and translate business "asks" into technical specificationsYou Have:4+ years of professional experience in Analytics or Business Intelligence roles, with at least 2+ years of hands-on technical experience in SAP Analytics Cloud (SAC) within a finance-focused environmentMastery of SAC advanced formulas, data actions, multi-actions, allocations, and currency conversionProven experience integrating and modeling data from both SAP (e.g., S/4HANA, Datasphere) and non-SAP sources into a unified analytics platformProficiency in SQL for data analysisBachelor's degree in a related field -OR- equivalent work experienceProficiency with Tableau for data visualization, experience with Snowflake, relevant SAC certifications (a plus)Our BenefitsComprehensive Healthcare PlansPaid Time OffRetirement PlansComprehensive Insurance PlansLifestyle programs & Wellness ResourcesEducation BenefitsFamily Care Benefits & Caregiving SupportCommuter Transit ProgramSubscription DiscountsEmployee Referral ProgramLearn more about all our US benefitsEqual Opportunity EmployerAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/VetsReasonable AccommodationWe are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at View email address on click.appcast.io. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.Business Area:Dow Jones - TechnologyJob Category:Software Product EngineeringUnion Status:Union roleBase Pay Range: $125,000 - $155,000We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.SummaryLocation: PrincetonType: Full time