via Remote Rocketship
$40K - 70K a year
Support project planning, manage timelines, coordinate testing, and communicate with engineering teams for data analytics initiatives.
1-3 years in data analytics or IT project support, exposure to enterprise analytics platforms, strong organizational and communication skills, and a relevant bachelor’s degree.
Job Description: • Support project planning and execution for data engineering, analytics, and planning initiatives across SAP BW/4HANA, SAC, and BPC. • Assist in managing project timelines, sprint activities, deliverables, and cross‑team dependencies. • Help prepare documentation such as data flow diagrams, requirements, user stories, and technical notes. • Coordinate testing cycles for data models, reports, integrations, and planning applications. • Help triage data pipeline issues, logging defects, and coordinating fixes with engineering teams. • Support in communicating and tracking maintenance activities such as system upgrades, data model updates, and performance tuning validations. • Act as a point of contact for all engineering teams and data analytics engineers to ensure deliverables are clearly communicated and tracked. • Support basic testing or data validation tasks under guidance (e.g., SAC model updates, BW queries). • Build strong working relationships with Finance, Product, Engineering Operations, and Data & Analytics teams. • Manage D&A team financial tracking and updates. Requirements: • 1–3 years of experience in data analytics, data engineering support, IT project coordination, or business analysis. • Exposure to SAP Analytics Cloud, SAP BW/4HANA, SAP BPC, or similar enterprise analytics platforms. • Understanding of project management tools and reporting/visualization tools. • Strong analytical mindset with interest in data quality, data governance, and scalable data solutions. • Excellent communication, documentation, and organizational skills. • Bachelor’s degree, Data Analytics, Computer Science, Business, or related field. • Familiarity with Agile or hybrid project methodologies. • Interest in developing technical skills in SAP data engineering, analytics modeling, and planning technologies. • Willingness to support off‑hours activities during critical deployments or maintenance windows. • SAP or data analytics certifications are a plus but not required. Benefits: • medical, dental and vision insurance • 401(k) • paid leave • tuition reimbursement • a variety of other discounts and perks
This job posting was last updated on 2/4/2026