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Special Access Programs Data Jobs

2 jobs found

2d ago

Data Scientist

Pratt & Whitney East Hartford, CT

East Hartford, CT

2d ago

$87k - $165k/yr Full time Analytics Automation Developer Big Data

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Job Description

The Data Scientist role supports Pratt & Whitney by connecting predictive modeling, business intelligence, and aviation MRO shop operations. The position focuses on BI application architecture, machine learning initiatives, and data standards that enable reliable overhaul workflows.

Key Responsibilities

Lead the design, implementation, and ongoing support of local business intelligence (BI) applications, including their underlying architecture.
Define organizational standards, policies, and procedures for the form, structure, and attributes of BI tools and reporting systems.
Improve BI tool performance through data filtering and indexing strategies that increase report speed and usability.
Create testing methodologies, validation criteria, and data and information quality metrics to support operational trust in data products.
Evaluate emerging BI and data technologies and develop business cases to guide adoption decisions.
Analyze trends in shop operations and supply chain data to produce actionable insights and support operational decision-making.
Perform statistical modeling and interpretive analysis of complex aerospace datasets to deliver robust analytical and predictive outputs, such as component failure forecasting and turnaround time optimization.
Define standards, software protocols, and procedures for building predictive models and analytical pipelines.
Discover, clean, extract, and leverage data from enterprise systems to improve both analytical accuracy and overall data system performance.
Design end-to-end testing and validation frameworks, including strict quality metrics for predictive models.
Run targeted analyses to address engineering, overhaul, and shop floor bottlenecks.

Required Qualifications

Advanced degree, plus 3+ years of experience in Data Science, Advanced Business Analytics, Technology and Machine Learning; preferably in Manufacturing, Aerospace, supply chain, or an FAA-regulated environment.
OR Bachelor’s degree, plus 5+ years of relevant industry experience.

Preferred Qualifications

Advanced degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Economics, Finance, or another related quantitative field.
Proficiency in common data science programming languages, including Python, R, and SQL.
Proven ability in data cleaning, exploratory data analysis, and deployment of production-level predictive models.
Experience with enterprise databases, data warehousing, and ETL/ELT pipelines.
Extensive hands-on experience with Databricks for big data processing, collaborative analytics, and managing machine learning pipelines.
Familiarity with Solumina databases and manufacturing execution system (MES) data structures used to track shop floor assembly, repair, and quality workflows.
Experience integrating and querying SAP databases (including SAP ERP and S/4HANA) for resource planning, supply chain, and inventory insights.
Expertise in Power BI to build executive dashboards, interactive reports, and optimize enterprise BI applications.

Technologies

Python, R, SQL
Databricks
Power BI
Solumina databases
SAP, SAP ERP, S/4HANA

Work Location and Role Type

East Hartford, CT (onsite). Onsite roles work primarily onsite, including roles supporting production and maintenance activity related to engine development.

Compensation Range

The salary range for this role is USD 86,800 - 165,200 per year.

Benefits

Medical, Dental, Vision
Life insurance
Short-term disability, Long-term disability
401(k) match
Flexible spending accounts
Flexible work schedules
Employee assistance program
Employee Scholar Program
Parental leave
Paid time off and Holidays
Annual short-term and/or long-term incentive compensation programs

Citizenship and Program Access

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program or contract.

Security Clearance

Security clearance type: None/Not Required
Security clearance status: Not Required

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1mo ago

SAP Master Data Analyst – Service Management

Sciens Building Solutions Tallahassee, FL

Tallahassee, FL

1mo ago Closed

Full time Business Systems Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Sciens Building Solutions is seeking an SAP Master Data Analyst focused on Service Management to analyze, govern, convert, maintain, and continuously improve service master and transactional data in SAP S/4HANA. The role ensures service operations and downstream processes, including inventory, financials, billing, and customer outcomes, are supported by accurate, consistent, and compliant master data.

Role Focus

The SAP Data Analyst for Service Management evaluates how service master data drives service transactions and how those transactions flow into inventory, financial processing, billing, and customer results within SAP S/4HANA. This includes establishing governance, defining data standards, managing conversions, and troubleshooting master data issues across the service lifecycle.

Responsibilities

Develop and implement a master data governance framework to support data accuracy, consistency, and compliance with business and regulatory standards.
Define, document, and enforce organization-wide master data policies, procedures, and standards.
Lead initiatives to improve data quality and resolve data-related issues.
Govern, maintain, and improve service master data in SAP S/4HANA.
Define standards for business partners, products, equipment, functional locations, installed bases, serial numbers, contracts, warranties, maintenance plans, and billing plans.
Analyze relationships among customers, assets, products, contracts, warranties, and service organizations.
Identify duplicate, incomplete, inconsistent, obsolete, or incorrectly assigned records and assess the downstream impact on scheduling, service execution, parts availability, billing, reporting, and customer experience.
Define ownership, validation rules, lifecycle controls, and stewardship procedures.
Support creation, change, extension, transfer, retirement, and ongoing remediation of service data.
Lead or support conversion of service master and transactional data into SAP S/4HANA, including analysis of legacy structures, source fields, business rules, dependencies, and data gaps.
Define source-to-target mappings, transformation rules, validation criteria, and reconciliation requirements.
Map legacy customers, products, equipment, functional locations, installed bases, contracts, warranties, orders, confirmations, and related objects to SAP structures.
Support cleansing, enrichment, standardization, conversion templates, and approved data-load methods.
Coordinate extraction, transformation, validation, loading, mock conversions, dress rehearsals, cutover, and post-load validation; reconcile legacy, staging, and SAP records, including investigation of rejected records, missing relationships, and incorrect assignments.
Document mapping logic, assumptions, exceptions, unresolved issues, retention, and archival requirements.
Ensure converted data supports service execution, inventory, billing, reporting, and financial processes.
Maintain and validate service requests, notifications, orders, maintenance orders, confirmations, technician assignments, time recordings, parts, goods movements, subcontracting, contracts, warranty claims, billing, invoices, credit memos, and accounting postings.
Trace relationships among service transactions, customers, assets, materials, technicians, organizations, and financial documents; analyze statuses, document flows, timestamps, quantities, values, and organizational assignments.
Identify incomplete, delayed, duplicated, reversed, or incorrectly processed transactions and support correction and remediation of invalid or incomplete data.
Reconcile service execution with inventory, controlling, revenue, cost, billing, and profitability data; analyze service labor, parts, external services, costs, revenue, margins, and profitability.
Use released SAP S/4HANA CDS views for service master and transactional data, and support custom analytical queries and reusable data models where standard content is insufficient.
Work with released APIs and data models aligned with clean-core principles; define dimensions, measures, filters, status logic, business rules, and data lineage.
Build datasets for service operations, asset management, field service, parts usage, contract compliance, billing, conversion, and maintenance.
Validate analytical results against SAP transactions and business expectations; define service master and transactional data-quality rules, validation controls, and reconciliation procedures.
Monitor completeness, accuracy, consistency, timeliness, uniqueness, and validity, identifying root causes and downstream impacts of data-quality issues.
Support cleansing, remediation, exception reporting, periodic reviews, and corrective-action tracking, while establishing controls to prevent recurring issues and enable ongoing maintenance after go-live.
Establish procedures for creating, changing, extending, blocking, and retiring service master records, including review and validation of data-change requests against standards and business rules and coordination of approvals for sensitive or high-impact changes.
Maintain work instructions, operating procedures, and maintenance documentation; support approved mass-maintenance activities, testing, reconciliation, post-go-live stabilization, and continuous improvement.
Partner with Service Process Owners, Field Service, Customer Service, Asset Management, Finance, Controlling, Supply Chain, SAP functional teams, data engineers, and analytics teams to translate service requirements into SAP data, conversion, and maintenance needs; facilitate discovery, mapping, cleansing, conversion, and maintenance sessions.
Present data-quality issues, conversion results, reconciliation findings, root causes, and recommendations; coordinate issue resolution and prioritize improvements based on operational and financial impact.
Support system upgrades, migrations, and implementations through master data readiness and compliance; troubleshoot and resolve master data issues within the SAP environment.

Service Master and Transactional Scope (SAP System Expertise)

Service Master Data: Business partners and customers; products, materials, and service products; equipment, functional locations, installed bases, and serial numbers; product hierarchies; service organizations, plants, storage locations, work centers, technicians, and territories; warranty data, service-level agreements, contracts, pricing, and condition data.
Service Transactions: Service requests, notifications, orders, maintenance orders, confirmations, time confirmations, and technician assignments; service parts, goods issues, receipts, returns, stock transfers, external services, and subcontracting; warranty claims, contract consumption, billing requests, invoices, credit memos, and accounting postings.
Related Business Objects: Customers and business partners; equipment, functional locations, installed bases, materials, and service products.
Related Business Objects (additional): Sales orders, deliveries, goods movements, billing documents, accounting documents, cost objects, profitability segments, contracts, and warranties.

Required Qualifications

Five (5)+ years of experience in SAP master data management.
Proven experience in the service industry or similar fast-paced, customer-focused environments.
Proficiency in SAP MDG (Master Data Governance), SAP S/4HANA, and related tools.
Strong understanding of master data domains, such as customer, vendor, material, and finance data.
Familiarity with data quality tools and methodologies.
Excellent communication, leadership, and stakeholder management skills.
Strong analytical and problem-solving abilities.
Ability to manage multiple priorities and drive results in a dynamic environment.

Technologies

SAP S/4HANA
SAP S/4 Service Management
SAP MDG (Master Data Governance)
CDS views
APIs
SAP

Education

Bachelor’s degree in Information Systems, Business Administration, or a related field. Master’s degree preferred.

Experience Details

Five (5)+ years of experience in SAP master data management.
Proven experience in the service industry or similar fast-paced, customer-focused environments.

Benefits

Competitive salary based on qualifications.
Paid time off plan and holidays.
401(k) matching.
Short term and long-term disability.
Medical, dental, and vision plans with options.
Life insurance.
Company laptop.
Professional career development opportunities.
Tuition reimbursement program.

Location

Tallahassee, FL (onsite)

Additional Qualifications (Preferred)

Certification in SAP Master Data Governance or related modules.
Experience in leading data migration projects for SAP implementations.
Knowledge of service industry processes and best practices.

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Special Access Programs Data Jobs

Data Scientist

SAP Master Data Analyst – Service Management

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