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Overnight Sap Data Analyst Jobs (NOW HIRING)

Navtech, Inc.

SAP Data Migration Lead

Hi, Job Title: SAP Data Migration Lead Location: Remote but need to travel to Lake Mary, FL ... Analytical and problem-solving skills * Excellent communication and presentation skills, Good ...

Accenture Federal Services

SAP Data Scientist

The Data Scientist role focuses on analyzing complex datasets to drive business decisions, delivering insights across SAP and non-SAP environments, and collaborating with cross-functional teams to ...

SAP

SAP AI Architect

Newtown Square, PA · On-site

Experience with Joule as a copilot, with emphasis on architecting and orchestrating SAP's Data & Analytics portfolio. * Ability to design and implement Joule-powered agents that securely invoke data ...

SAP

SAP AI Architect

Newtown Square, PA

Experience with Joule as a copilot, with emphasis on architecting and orchestrating SAP's Data & Analytics portfolio. * Ability to design and implement Joule-powered agents that securely invoke data ...

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Overnight Sap Data Analyst information

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$34K

$82.6K

$136K

How much do overnight sap data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for overnight sap data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Sap Data Analyst vs Overnight Sap Data Specialist?

AspectOvernight Sap Data AnalystOvernight Sap Data Specialist
CredentialsBachelor's in Data Analysis, IT, or related field; SAP certificationsBachelor's or higher in Data Management, SAP certifications often preferred
Work EnvironmentNight shifts, data analysis teams, office or remoteNight shifts, SAP system focus, similar work setting
Industry UsageManufacturing, retail, logistics with SAP systemsSame industries, often overlapping roles
Job FocusAnalyzing data, generating reports, supporting decision-makingManaging SAP data, ensuring data integrity, system configuration

Both roles operate during overnight shifts within industries using SAP systems. The Overnight Sap Data Analyst primarily focuses on analyzing data and creating reports, while the Overnight Sap Data Specialist emphasizes managing SAP data and system configurations. They share similar credentials and work environments, but their core responsibilities differ slightly based on data analysis versus data management tasks.

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Overnight Sap Data Analyst jobs near you
SAP Data Scientist

SAP Data Scientist

Accenture Federal Services

Washington, DC

Other

Posted 6 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services

Job description

The work

The Data Scientist is responsible for analyzing complex datasets to drive business decisions and deliver actionable insights across SAP and nonSAP environments. This role leverages statistical methods, data modeling, and visualization techniques to solve business challenges and support decisionmaking. The Data Scientist will gather, wrangle, and validate data; develop analytic pipelines; design predictive models; and communicate findings through dashboards, KPIs, and executiveready visualizations. The role collaborates closely with crossfunctional teams to implement datadriven solutions and deliver AI/MLbased frameworks that generate measurable business value.

Key responsibilities:

  • Collect, organize, and wrangle data from SAP and nonSAP sources; build reusable analytics and data pipelines
  • Clean, validate, and preprocess structured and unstructured datasets to ensure highquality inputs for analysis
  • Conduct statistical and exploratory analyses to identify trends, patterns, and business insights
  • Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data
  • Enhance data collection procedures to support analytic system development
  • Create dashboards, KPIs, and data visualizations to clearly communicate findings to business stakeholders
  • Support data reconciliation and KPI validation between source systems and analytics outputs
  • Collaborate with IT, business analysts, and leadership to implement datadriven solutions
  • Design and deliver AI/MLbased decisionmaking frameworks; measure and justify model value

Here's what you need:

  • 5+ years of experience in data science, advanced analytics, or applied data modeling (ideally with SAP data)
  • Proficiency in Python or R, SQL, and data manipulation libraries
  • Experience with SAP Analytics Cloud Predictive, SAP BTP AI Core, or integrating SAP data with external ML platforms
  • Strong understanding of data preparation and feature engineering for large ERP datasets
  • Solid statistical and machinelearning background with the ability to explain models to nontechnical audiences
  • Strong analytical, problemsolving, and communication skills

Nice to have:

  • SAP BW/4HANA experience
  • Familiarity with SAP HANA modeling, BW queries, or SAP BTP services
  • Experience with cloudbased ML platforms (AWS Sagemaker, Azure ML, etc.)
  • Background in data governance, data quality frameworks, or production model deployment

Eligibility requirements:

  • U.S. Citizenship (no duals)
  • Ability to obtain a client Public Trust government clearance

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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