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Sap Data Analyst Jobs in Washington (NOW HIRING)

Curtiss-Wright

SAP Data Migration Lead

Ashburn, VA · On-site +1

$125K - $167K/yr

Experienced in data and SAP data analysis and with SAP Data model and hands on with SAP table structures and SAP query (SQVI) * Excellent communication skills & team player with ability to work with ...

Novul Solutions

Data Analyst

Arlington, VA · On-site

Overview We are seeking an experienced Data Analyst to support enterprise-wide data governance ... Experience supporting DoW and/or DoW SAP environments is highly preferred. Key Responsibilities:

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How much do sap data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for sap data analyst in Washington is $64.19, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $79.76 per hour, depending on experience, location, and employer.

What is an SAP data analyst?

An SAP Data Analyst is responsible for managing, analyzing, and interpreting data within SAP systems to support business decision-making. They ensure data accuracy, optimize data processes, and generate reports to provide insights. This role often involves working with SAP modules like SAP HANA, SAP BW, or SAP S/4HANA, as well as SQL and data visualization tools. SAP Data Analysts collaborate with various teams to improve data integrity, enhance reporting capabilities, and drive efficiency.

What are the key skills and qualifications needed to thrive as an SAP data analyst?

To thrive as a SAP Data Analyst, you need strong analytical skills, a solid understanding of data management concepts, and a background in information systems, business, or related fields. Proficiency in SAP modules (such as SAP HANA or SAP BW), experience with data visualization tools, and certifications like SAP Certified Application Associate are highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate across departments and translate business needs into data solutions. These qualities are essential for efficiently managing, interpreting, and reporting data to support organizational decision-making.

What are some common challenges faced by SAP data analysts and how can they be addressed?

A common challenge for SAP Data Analysts is ensuring data accuracy and consistency across multiple SAP modules and external data sources, which requires rigorous data validation and reconciliation processes. Analysts often collaborate closely with IT teams and business stakeholders to define data requirements, troubleshoot integration issues, and implement improvements. Maintaining up-to-date knowledge of SAP system updates and evolving business needs is crucial for success. Developing strong communication and documentation practices helps effectively convey insights and foster continuous process improvements.

How much do SAP Data Analysts make?

SAP Data Analysts typically earn a median salary ranging from $70,000 to $100,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in SAP modules and data management can earn higher salaries, often exceeding $110,000 per year.

What is the salary of a SAP Data Analyst?

The salary of a SAP Data Analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with SAP certifications can earn higher salaries, especially in industries with high demand for SAP expertise.

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Sap Data Analyst jobs near you
Infographic showing various Sap Data Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $133,519 per year, or $64.2 per hour.

SAP Data Scientist

Accenture Federal Services

Washington, DC

Full-time

Re-posted 3 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 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

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Benefits

Hours and flexibility

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