Senior Engineer - SAP Analytics Cloud

Dow Jones

Princeton (NJ)

On-site

USD 115,000 - 145,000

Full time

14 days+

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Benefits offered by this job

Healthcare Plans
Paid Time Off
Retirement Plans
Wellness Resources
Caregiving Support
Reasonable accommodation

Job summary

Dow Jones is seeking a Senior Engineer to design, develop, and implement advanced SAC analytics and planning solutions in a finance-focused environment.

You will architect end-to-end SAC models and stories, configure data connections to S/4HANA, Datasphere, and Snowflake, and optimize performance for rapid insights. Collaboration with FP&A and technology teams is essential to translate business needs into scalable technical solutions.

Qualifications

  • 4+ years of professional experience in Analytics or BI roles, with at least 2+ years of hands-on SAC experience in a finance environment.
  • Mastery of SAC advanced formulas, data actions, multi-actions, allocations, and currency conversion.
  • Experience integrating and modeling data from SAP and non-SAP sources into a unified analytics platform.
  • Proficiency with SQL for data analysis.
  • Bachelor's degree in a related field or equivalent work experience.
  • Proficiency with Tableau for data visualization; Snowflake experience; 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 for budgeting and forecasting.
  • Configure live and import data connections between SAC and SAP and non-SAP sources.
  • Conduct performance tuning for stories and data models for fast rendering and great user experience.
  • Collaborate with FP&A and business leads to translate requirements into technical specifications.

Skills

SAP Analytics Cloud
SQL
Data modeling
Data Actions / Multi-Actions
Tableau
Snowflake
Finance domain knowledge
Communication

Education

Bachelor's degree or equivalent

Tools

S/4HANA
Datasphere
Tableau

Job description

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 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

You 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 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

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

Comprehensive Healthcare Plans

Paid Time Off

Retirement Plans

Lifestyle programs & Wellness Resources

Family Care Benefits & Caregiving Support

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status or any other characteristic protected by law. EEO/Disabled/Vets. Dow Jones is 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, due to a disability, email us at talentresourceteam@dowjones.com. 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.

Business Area:

Dow Jones - Technology

Job Category:

Software Product Engineering

Union Status:

Union role

Pay Range: $115,000 - $145,000

We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.

Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.

For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.

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