Senior Engineer - SAP Analytics Cloud

Dow Jones & Company•Princeton, FL

1d•$115,000 - $145,000

About The Position

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.

Requirements

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 environment
Mastery of SAC advanced formulas, data actions, multi-actions, allocations, and currency conversion
Proven experience integrating and modeling data from both SAP (e.g., S/4HANA, Datasphere) and non-SAP sources into a unified analytics platform
Proficiency in SQL for data analysis
Bachelor's degree in a related field -OR- equivalent work experience

Nice To Haves

Proficiency with Tableau for data visualization, experience with Snowflake, relevant SAC certifications (a plus)

Responsibilities

Design and build end-to-end SAC solutions, including data models, stories (dashboards), and analytical applications
Implement SAC Planning models, leveraging Data Actions, Multi-Actions, and Advanced Formulas to support budgeting and forecasting
Configure 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 experience
Partner with FP&A and business leads to gather requirements and translate business "asks" into technical specifications