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Day 2
Early. Similar jobs usually come down between day 5 and day 41.
From 11,597 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Lead design and development of SAC dashboards, stories and analytical applications
Define architecture and best practices for scalable SAC planning applications
Integrate SAC with SAP BW, BW/4HANA, S/4HANA and other data sources
Build and maintain data models, including Live/Import connections and CDS views
Mentor technical teams and lead delivery in Agile projects
Lead the design and development of SAC dashboards, stories, and analytical applications
Define architecture and implement best practices for scalable and performant SAC planning applications
Integrate SAC with SAP BW, BW/4HANA, S/4HANA, and other data sources
Build and maintain data models, including Live/Import connections, CDS views, and Calculation Views
Mentor technical teams and lead delivery within Agile project environments
We are looking for a Lead Software Engineer with deep expertise in SAP Analytics Cloud for Planning (SAC-P) to architect and deploy intuitive, dynamic planning and analytics solutions. Leveraging specialized SAC-P mastery alongside a strong foundation in SAP BW, HANA, and data visualization, you will empower teams across the enterprise to make data-backed, strategic decisions. Responsibilities Lead the design and development of SAC dashboards, stories, and analytical applications Define architecture and implement best practices for scalable and performant SAC planning applications Integrate SAC with SAP BW, BW/4HANA, S/4HANA, and other data sources Build and maintain data models, including Live/Import connections, CDS views, and Calculation Views Optimize dashboard performance and user experience across analytics platforms Apply SAC scripting logic to enhance analytical applications Mentor technical teams and lead delivery within Agile project environments Establish data governance, security, and authorization concepts across analytics solutions Collaborate with business stakeholders, product owners, and developers to align reporting solutions with business objectives Translate business requirements into clear, consistent, and usable analytics deliverables Requirements 5+ years of hands-on experience with SAP data platforms Expertise in SAP Analytics Cloud, including Story Design, Analytical Applications, and Planning Proficiency in SAP BW, BW/4HANA, S/4HANA, and HANA models Skills in data modeling and connectivity, including Live/Import connections, CDS views, and Calculation Views Knowledge of SAC scripting using JavaScript-based logic Background in Agile project leadership and team mentoring Understanding of data governance, security, and authorization concepts Competency in stakeholder collaboration and requirement translation
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 5 and day 41.
From 11,597 similar postings that came down. Coming down is not always a hire.
660 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Yes. We’ve followed 8 other Lead Software Engineer - SAP Analytics Cloud for Planning (SAC-P) jobs there since November 2026. All 8 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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Bulgaria
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