ERP

ERP Data Jobs

22 jobs found

6d ago

Senior Data Engineer

GTS Technology Solutions Denton, TX

Denton, TX

6d ago

$48 - $58/hr Contract Senior Analytics Business Analytics

Apply Now

Job Description

GTS Technology Solutions invites you to join a collaborative data team as a Senior Data Engineer for a higher education client in Denton, TX. This contract-to-hire role blends on-site collaboration with a hybrid work model, focusing on enterprise data platforms, data architecture, ETL/ELT, integrations, analytics, and reporting. The position offers an hourly rate of USD 48 to 58 and a clear path to permanent placement upon successful project milestones.

Responsibilities

Design, build, implement, and maintain enterprise data warehouses, operational data stores, data marts, and data lake solutions.
Develop scalable cloud and hybrid data solutions using Oracle Cloud Infrastructure and related Oracle technologies.
Create logical and physical data models to support analytics, reporting, and enterprise data needs.
Design and maintain ETL/ELT pipelines using Oracle Integration Cloud, SnapLogic, SSIS, PL/SQL, and T-SQL.
Support integrations across ERP, HCM, SIS, CRM, LMS, and third-party SaaS platforms.
Build and support API, REST, SOAP, SFTP, file-based, batch, near real-time, and event-driven integrations.
Ensure data quality, reconciliation, validation, exception handling, and performance optimization.
Support reporting and analytics using Power BI, Oracle Analytics Cloud, or similar SQL-based reporting platforms.
Create curated datasets, semantic models, dashboards, KPI structures, and reporting views.
Monitor data pipelines, platform health, data processing, system performance, and integration workflows.
Support cloud security, encryption, auditing, backup, recovery, and disaster recovery practices.
Document data architectures, processes, data dictionaries, and operational procedures.
Collaborate with technical and functional stakeholders across the organization.

Requirements

8+ years of progressively responsible experience in data engineering, enterprise data warehousing, ETL development, analytics engineering, or equivalent.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, or a related field.
Experience designing and supporting enterprise data warehouses, operational data stores, data marts, data lakes, and analytics platforms.
Experience supporting hybrid cloud and on-premises enterprise data ecosystems.
Strong SQL experience, including Oracle PL/SQL and SQL Server T-SQL or equivalent.
Experience with database performance tuning, query optimization, schema design, and data modeling.
Experience building and supporting ETL/ELT pipelines.
Experience with cloud and integration platforms such as Oracle Cloud Infrastructure, Oracle Integration Cloud, SnapLogic, SSIS, REST/SOAP APIs, SFTP, or file-based integrations.
Experience with analytics and reporting tools such as Power BI, Oracle Analytics Cloud, or equivalent.
Strong analytical, troubleshooting, communication, documentation, and stakeholder-management skills.
Ability to convey technical concepts to both technical and non-technical audiences.
Ability to manage multiple priorities in a complex enterprise environment.

Technologies

Oracle Cloud Infrastructure
Oracle Integration Cloud
SnapLogic
SSIS
PL/SQL
T-SQL
REST, SOAP
SFTP, file-based integrations
Power BI
Oracle Analytics Cloud
Oracle Fusion Cloud ERP/HCM
Ellucian Colleague, Ellucian Banner, PeopleSoft Campus Solutions
Workday Student, Oracle E-Business Suite
Oracle Autonomous Database, ATP, ADW
OCI Data Integration, OCI Object Storage, OCI Analytics

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance

Location and Compensation

Location: Denton, TX 76204, with a hybrid remote work arrangement. Compensation: USD 48.00 to 58.00 per hour. Job type: Contract

Background Check

Must pass a satisfactory criminal background check in accordance with CJIS fingerprint-based guidelines upon hire.

View full job page →

9d ago

Senior Data Analyst

Intone Networks Remote 🌍 Remote

Remote

9d ago

Full time Senior Analyst Analytics

Apply Now

Job Description

Intone Networks is seeking a Senior Data Analyst to strengthen its People Analytics capabilities from a remote location. The role centers on keeping dashboards accurate, producing recurring reports, and pulling data from HR systems to support data-driven decisions. You will report to the Lead Data Analyst, People Analytics, partnering with stakeholders across HR and leadership teams to ensure data quality, clear insights, and timely delivery.

Responsibilities

Report to the Lead Data Analyst, People Analytics.
Maintain and audit People Analytics dashboards and recurring reporting.
Support weekly and monthly reporting cadences, ensuring data accuracy, consistency, and on-time delivery.
Support all people related compliance reporting needs, including data preparation, validation, and submission support.
Assist in the preparation of analyses and insights in response to stakeholder requests.
Write and refine queries to gather and validate data from HR systems and reporting sources using SQL as needed.
Support Workday reporting and data extraction activities, including troubleshooting and basic configuration/report development, as applicable.
Document metric definitions, reporting logic, and data sources; identify and escalate data quality issues as needed.
Assist with ad hoc analytics and reporting requests from business leaders, balancing priorities against recurring deliverables.

Requirements

Bachelor's degree or equivalent practical experience; a Master's degree may substitute for some experience based on company policy.
Demonstrated experience in analytics or reporting within a People/HR, Operations, Finance, or similar data-driven environment.
Working knowledge of SQL to pull, join, and validate data from relational data sources.
Experience with Workday, including reporting, data structures, or data extracts.
Experience maintaining BI dashboards and recurring reporting with a strong focus on data quality and auditability.
Experience leveraging approved AI tools (e.g., ChatGPT, Claude, Claude Code, or similar tools) to improve workflow efficiency, support query development, summarize findings, document logic, and streamline reporting processes while maintaining data privacy and confidentiality.
Comfort handling sensitive and confidential employee data with discretion and sound judgment.
Strong communication skills, including the ability to explain metrics, limitations, and recommendations to non-technical audiences.
Tableau
Python

Technologies

SQL
Workday
Tableau
Python
ChatGPT
Claude
Claude Code

View full job page →

10d ago

Sales Data Analyst (full-time)

STL San Juan Capistrano, CA

San Juan Capistrano, CA

10d ago

$70k - $95k/yr Full time Analyst Analytical Skills Analytics

Apply Now

Job Description

Hybrid full-time Sales Data Analyst role supporting a local sales and business team with data analysis, forecasting, and reporting.

Responsibilities

Leverages Oracle JDE Edwards ERP, ReportsNOW, Oracle EPM, and Power BI to provide data that informs sales decisions and boosts productivity through analysis and reporting.
Creates ad hoc sales reports on request.
Daily advanced use of Microsoft Excel, ERPs, EPMs, BI tools, and CRM systems to support reporting tasks.
Designs, maintains, and enhances sales reports and dashboards with Tableau, Power BI, and Salesforce to visualize key performance metrics.
Extracts, manipulates, and analyzes large data sets using SQL to identify trends, anomalies, and growth opportunities.
Collaborates with sales teams and business stakeholders to gather requirements and translate them into effective reporting solutions.
Conducts detailed business analysis to support forecasting, pipeline management, and sales strategy development.
Identifies opportunities to improve reporting workflows and implements best practices for data accuracy and efficiency.
Supports analytics implementation and system upgrade projects by coordinating tasks across teams.
Documents reporting processes using Visio or equivalent tools for clarity and consistency.
Assists in developing sales forecasts by analyzing historical data, market trends, and internal performance indicators.
Monitors data quality and integrity across Salesforce, Power BI, and other relevant platforms.
Provides training and end-user support for reporting tools and dashboards to maximize their value.

Requirements

Proficiency in Tableau, Power BI, SQL, Salesforce, Visio, and other BI tools.
Strong data analysis skills with the ability to translate complex datasets into clear insights.
Business analysis expertise focused on sales processes, forecasting models, and performance metrics.
Analytical thinking and attention to detail to ensure accurate reporting.
Knowledge of analytics techniques including trend analysis, variance analysis, and predictive modeling.
Experience leading process improvements in sales or business intelligence environments.
Effective project management skills with the ability to prioritize tasks in a fast-paced setting.
Familiarity with CRM systems such as Salesforce and data visualization best practices.
Strong communication skills for presenting findings to diverse audiences.
Ability to collaborate across departments while delivering on deliverables.

Technologies

Oracle JDE Edwards
ReportsNOW
Oracle EPM
Power BI
Microsoft Excel
Tableau
Salesforce
SQL
Visio

Education

Bachelor’s degree in Business, Finance, Computer Science, Information Systems, or Statistics is strongly preferred.

Experience

Microsoft Excel: 7 years (Preferred)
Power BI: 5 years (Preferred)
Oracle JDE Edwards: 5 years (Preferred)
ReportsNOW: 5 years (Preferred)
Oracle EPM: 5 years (Preferred)
Ad Hoc Sales Reports: 5 years (Preferred)
Tableau: 5 years (Preferred)

Location

San Juan Capistrano, CA 92675; hybrid role with in-person work requirements.

Salary

USD 70,000 - 95,000 yearly

View full job page →

10d ago

Data Analyst

JY Legner Associates Lexington, KY

Lexington, KY

10d ago

$42 - $48/hr Contract Analyst Analytical Skills Analytics

Apply Now

Job Description

JY Legner Associates seeks a detail-oriented Data Analyst to bolster ERP management processes and everyday business operations through careful data aggregation, cleansing, analysis, and reporting. The role collaborates across multiple functions to convert data into actionable insights that drive performance measurement and strategic decisions. Based in Lexington, Kentucky, the position offers a hybrid work arrangement with on-site work required during the training period.

Responsibilities

Consolidate, cleanse, validate, and analyze data across varied ERP management processes and focus areas.
Create, maintain, and report on core business performance indicators (KPIs).
Provide analytical support for financial operations and related business functions.
Support material tracking and inventory processes with data-driven analysis.
Monitor end-to-end communication activity to inform operational decisions.
Support regulatory and customer reporting functions with data insights.
Extract data from multiple sources to inform analysis and reporting efforts.
Identify trends, patterns, and actionable insights to guide strategic decisions.
Offer analytical backing for a range of business initiatives and projects.
Collaborate with cross-functional teams to improve reporting accuracy and efficiency.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.
1–3 years of experience in data analytics, data science, or a similar analytical role.
Experience working with Oracle.
Experience working with SAP.
Proficiency with the Microsoft Office Suite, especially Excel.
Experience gathering, cleansing, and preparing data from multiple sources for analysis.
Strong analytical and problem-solving abilities with the capacity to translate data into meaningful business insights.
Ability to manage multiple priorities and collaborate effectively in a team environment.

Technologies

Oracle
SAP
Microsoft Office Suite
Excel
Maximo

Benefits

401(k) with 4% company match
AD&D insurance
Dental insurance
Disability insurance
Health insurance
Life insurance
Vision insurance

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.

Experience

SAP: 2 years (Required)
Oracle ERP: 2 years (Required)
Perform analysis and create reports or dashboards: 2 years (Required)
Data analytics, business analytics, or data science: 2 years (Required)

Location & Work Arrangement

Location: Lexington, KY 40536 (Hybrid remote)
Hybrid schedule; onsite attendance required until fully trained

Contract & Compensation

Job Type: Contract
Compensation: USD 42 - 48 per hour
Contract Duration: Through December 2026, with potential extension/renewal based on business needs and performance

Application & Qualifications

Do you confirm understanding that this is a W2 role that is slated to run until December 2026, but it may be extended?
Do you currently reside within a reasonable commuting distance of Lexington, KY?

View full job page →

13d ago

Financial Data Analyst- Business Intelligence - Full Time (Hybrid)

The Guthrie Clinic Sayre, PA

Sayre, PA

13d ago

Full time Analyst Analytics Business Analytics

Apply Now

Job Description

The Guthrie Clinic seeks a Financial Data Analyst - Business Intelligence to join the Strategic Insights team in a hybrid role based in Sayre, PA.

Responsibilities

Design, develop, and deploy enterprise financial dashboards and reports, including income statement, balance sheet, cash flow, and service line performance.
Support monthly close, budgeting, forecasting, and variance analysis through automated BI solutions.
Translate Finance requirements into clear data models, metrics, and visualizations.
Ensure consistent financial definitions across departments and reports.
Create and maintain requirements, project plans, training materials, and related documentation for each solution.
Demonstrate strong analytical and problem-solving skills.
Exhibit excellent oral and written communication and interpersonal abilities.
Maintain high attention to detail to ensure quality assurance, data/reporting accuracy, integrity, and security.
Design and maintain semantic models, data marts, and datasets supporting financial analytics.
Leverage data engineering and visualization tools, specifically Microsoft Fabric and Power BI.
Familiarize data architecture designs such as data warehouse, data lake, and data lakehouse, with the ability to access data for ETL to support advanced analytics, BI platforms, reports, and dashboards.
Integrate data from ERP, EHR, cost accounting, payroll, and ancillary systems.
Apply data governance, security, and access controls aligned with IT and Finance standards.
Ensure reporting complies with SOX controls, audit requirements, and internal financial controls.
Create and maintain documentation and training materials including report logic, data sources, assumptions, and calculation methodologies.
Support Finance leadership during audits, regulatory reviews, and leadership inquiries.
Serve as the primary BI liaison for Finance, translating business needs into technical solutions.
Participate in cross-functional workgroups with Finance, IT, Clinical, and Operational leaders to promote data literacy and strategic alignment.
Provide training and support to Finance users on BI tools and self-service reporting.
Proactively identify opportunities to standardize, automate, and improve reporting processes.

Requirements

3–6 years of experience in BI, analytics, or financial reporting, preferably in healthcare.
Strong understanding of healthcare financial concepts including budgeting, cost accounting, reimbursement, and service lines.
Hands-on experience with BI and data engineering tools, particularly Microsoft Fabric, Power BI, and Tableau.
Experience working with ERP and financial systems such as Oracle, Workday, Lawson, and SAP.
Working knowledge of SQL, relational databases, and data modeling concepts.
Basic understanding of data repositories and storage designs, including data warehouse, data lake, and data lakehouse.
Bachelor’s degree.

Technologies

Microsoft Fabric
Power BI
Tableau
Oracle
Workday
Lawson
SAP
OTBI
Oracle Analytics Publisher
Financial Reporting Center
FDI
SmartView
CloudMiner
Epic Clarity
Caboodle
SQL

Preferred Experience

Healthcare system or integrated delivery network IDN experience
Experience supporting Decision Support, FP&A, Cost Accounting and General Ledger Financial Reporting teams
Familiarity with EHR financial integrations such as Epic Clarity/Caboodle
Experience with self-service BI enablement and financial data governance frameworks
Experience with statistical analysis using Python, R, or other software
Experience with OTBI, Oracle Analytics Publisher, Financial Reporting Center, FDI, SmartView, and/or CloudMiner is a plus
Experience leveraging AI and automation tools to enhance productivity, analysis, or decision-making in daily work

View full job page →

15d ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

15d ago

$70 - $75/hr Full time Senior Cloud Cloud Operations

Apply Now

Job Description

Overview

As a senior member of the data engineering team, you will drive the architecture and delivery of scalable data systems that support analytics, reporting, and strategic decision making. The position emphasizes technical leadership and hands on work with SAP data integration within hybrid cloud environments.

Responsibilities

Design and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Build and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Incorporate SAP data sources into enterprise data platforms for comprehensive reporting and analysis.
Maintain data integrity, reliability, and performance across multiple systems and applications.
Lead efforts to reduce data redundancy and establish single sources of truth through effective data modeling and integration.
Act as the technical lead on cross functional data initiatives, guiding design choices to align with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Supervise database upgrades, migrations, and performance optimization activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, sharing best practices and technical growth.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (for example Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (such as SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks
SAP HANA
SAP BW
SAP ECC

Benefits

Dental insurance
Health insurance
Vision insurance

Location

Tampa, Florida, onsite.

Pay

USD 70.00 - 75.00 per hour

Team Environment

The role involves collaboration with IT architects, developers, and strategic planners, as well as business stakeholders, project managers, contractors, consultants, and vendors supporting utility operations.

Core Values

Champion innovation and continuous improvement
Drive operational excellence and customer value
Uphold safety, integrity, and strategic thinking

Soft Skills

Strategic thinker with strong problem solving abilities
Excellent communication and leadership capabilities
Ability to manage multiple priorities and deliver results in a fast paced environment

Qualifications

Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
Required: 6-8+ years of experience in data engineering, database administration, or related roles
Required: Advanced proficiency in SQL and programming languages such as Python or R
Required: Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB)
Required: Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks)
Required: Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC)
Required: Proven ability to lead technical projects and mentor team members
Preferred: Experience in the utility industry or similar regulated environments
Preferred: Familiarity with big data technologies and distributed computing frameworks
Preferred: Knowledge of data governance, compliance, and audit practices

View full job page →

16d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

16d ago

$132k - $179k/yr Full time Amazon Quicksight Amazon Web Services Analytics

Apply Now

Job Description

Data Engineer II in Bellevue, WA onsite designs and operates data pipelines, maintains the data warehouse and data lake, and builds dashboards and ML workflows to deliver shop floor insights, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect and run data pipelines using AWS Glue (PySpark), Kinesis, S3, and EventBridge to ingest DynamoDB streams and enterprise data into the AMS data lake
Model and maintain the Redshift data warehouse and S3/Athena data lake that power analytics across AMS services
Build ingestion and modeling layers for enterprise sources such as SAP S/4HANA, JobBoss, Siemens Teamcenter, and Dot Compliance
Develop QuickSight dashboards for shop floor operators, planners, and AMS leadership, covering operational metrics and executive KPIs
Develop and deploy ML models and pipelines for manufacturing use cases including demand forecasting, machine health prediction, and scheduling optimization
Own data quality, lineage, and documentation across the AMS analytics stack
Collaborate with senior SDEs on architecture, service event schemas, and integration patterns while owning a portion of the data domain

Requirements

3+ years of data engineering experience
1+ years of developing and operating large-scale BI data structures for analytics using ETL/ELT processes
1+ years of developing and operating large-scale BI data structures for analytics using data modeling
1+ years of developing and operating large-scale BI data structures for analytics using SQL
Experience with data modeling, warehousing, and building ETL pipelines
Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles/permissions
Experience in at least one modern programming or scripting language such as Python, Java, Scala, or NodeJS

Technologies

AWS Glue
PySpark
Kinesis
S3
EventBridge
DynamoDB
Redshift
Athena
SAP S/4HANA
JobBoss
Siemens Teamcenter
Dot Compliance
QuickSight
React
Python
Java
Scala
NodeJS
EMR
FireHose
Lambda
IAM

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

A Day In The Life

Begin with a standup alongside SDEs, data engineers, and manufacturing stakeholders
Continue work on a React component that displays real time resource status for shop floor planners
After lunch, shift to backend work, designing a DynamoDB schema for part versioning
Participate in code reviews with a senior engineer on an enterprise integration bridge and understand AMS connections to external manufacturing platforms
Some weeks lean toward frontend tasks like interactive data visualizations or responsive layouts for shop floor devices
Other weeks emphasize backend work such as event sourced entity patterns or third party API integrations