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1mo ago

Data Analyst

Trane Technologies Noblesville, IN

Noblesville, IN

1mo ago Closed

$73k - $117k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 20, 2026).

Job Description

Benefits and work culture

Trane Technologies offers a competitive compensation package and a collaborative onsite work environment in Noblesville, IN. The role carries a salary range of USD 72,612 to 116,700 per year. Employees receive health insurance, holistic wellness programs, fertility coverage, and adoption or surrogacy assistance. The company contributes to retirement with a 401K match up to 6 percent plus an additional 2 percent core contribution, totaling up to 8 percent. Time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and options to support volunteer and parental leave. Additional development support comes from tuition assistance, student debt relief, and ongoing educational opportunities. The work arrangement prioritizes collaboration onsite most of the week, with Fridays offering flexibility to choose the work location based on role requirements. This position is based in Noblesville, focusing on delivering insights that empower self service decision making across business units.

Responsibilities

Lead the end to end delivery of business insights for the life sciences portfolio, using visual storytelling to shorten the path from data to insight when suitable.
Translate strategic goals and stakeholder needs to identify the most effective analytic solution.
Drive the creation and deployment of top tier analytics that enable easy self service for sales and function leaders.
Share solutions and analytical approaches across the organization to build capability within business units.
Design and maintain data structures that join multiple datasets for multi dimensional exploration and performance dashboards.
Develop and refresh Tableau and Power BI dashboards that incorporate leading and lagging indicators from financial and operations metrics.
Oversee deployment of analytics solutions through standard work processes, training sessions, and ongoing support for business teams.
Collaborate with Commercial Sales, Finance, IT and other teams to develop and launch innovative analytics solutions.
Deliver reports and dashboards using agile methods to meet stakeholder needs.
Lead the creation and documentation of analytics integration and data consolidation standards and best practices.
Prepare and present customized findings to senior leadership and field offices in clear formats.
Support additional processes such as SIOP demand planning, sales compensation reporting, and planning and KPI/dashboard development for marketing programs as needed.

Requirements

Bachelor's degree in business or a related field.
Proven ability to evaluate solutions from the customer perspective.
Five or more years of experience developing analytics solutions.
Experience supporting systems integration, data conversion and validation, and improvement of master data management processes.
Experience building visualizations with Tableau.
Proficiency with Microsoft Dynamics 365 and Dataiku.
Experience leveraging cloud infrastructure.
Strong analytic, critical thinking and problem solving skills with awareness of how new information affects current and future decisions.
Ability to collaborate with a variety of stakeholders to align research and analysis with implementation plans.
Skill in wrangling and mining data to extract customer insights.
Ability to create meaningful and easily interpretable data visualizations.
Judgment in selecting the right tool for the problem, with consideration for future enhancements and audiences.
Willingness to learn new tools and techniques to grow in advanced analytics.
Strong written and verbal communication skills.

Technologies

Tableau
Power BI
Microsoft Dynamics 365
Dataiku

Work location and schedule

Onsite Monday through Thursday with colleagues. On Fridays you may choose your work location, balancing what your work requires.

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1mo ago

Master Data Analyst

Leoforce Minden, NV

Minden, NV

1mo ago Closed

$70k - $85k/yr Full time Analyst Data Data Analytics

This position is no longer accepting applications (closed Jul 20, 2026).

Job Description

Leoforce seeks a senior level Master Data Analyst to oversee master data management, govern data quality, and align MES and ERP within a manufacturing environment. The role emphasizes process improvements and reporting to support manufacturing operations and product development.

Location

Minden, NV (onsite)

Salary

USD 70,000 - 85,000 per yearly

Education

Bachelor's degree

Experience

Level: Senior
Minimum experience: 3 years (as stated in the data)
Note: The requirements specify a minimum of 5 years in data management, governance, and analysis within a manufacturing environment

Responsibilities

Manage and maintain master data, including creation, updates, and deletion
Provide quality assurance of imported data, collaborating with quality assurance analysts as needed
Commission and decommission data sets
Process confidential data and information according to guidelines
Support the company's data users on day to day issues
Work with business and IT to ensure alignment of master data rules and that application operations meet requirements
Assist in data management, governance, and data quality of master data with other functional data owners to ensure integrity across financial systems and adherence to business rules
Comply with data integrity and security policies
Ensure data is distributed to relevant stakeholders within the company
Support the design, documentation, and maintenance of application and process models
Identify areas to increase efficiency and automate processes
Set up and maintain automated data processes
Identify, evaluate, and implement external services and tools to support data validation and cleansing

Requirements

Bachelor's degree in Information Systems, Computer Science, or related field
Minimum of 5 years of experience in data management, governance, and analysis within a manufacturing environment
Strong understanding of ERP systems and master data management principles
Hands-on experience with Bills of Materials (BOMs) and routers
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
Knowledge of data related regulatory requirements and emerging trends and issues
Proficient in data management and integrity, process improvement, MES and ERP alignment, data governance, and reporting and analysis
Strong problem-solving skills and excellent verbal and written communication skills
Able to work in a fast-paced environment and manage multiple priorities

Benefits

Comprehensive health benefit package
401k
PTO package
Growth opportunity

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1mo ago

Data Analyst - AI Trainer

DataAnnotation Louisville, KY 🇺🇸 Remote

Louisville, KY

1mo ago Closed

$50 - $100/hr Contract Ai Ml Ai Trainer Analyst

This position is no longer accepting applications (closed Jul 20, 2026).

Job Description

DataAnnotation is seeking a Data Analyst - AI Trainer based in Louisville, KY, with a fully remote work option. The role focuses on designing and solving coding challenges used to train AI systems, developing code snippets with clear explanations, and evaluating AI-generated code. This contract position offers a flexible schedule with project selections aligned to availability.

Responsibilities

Design, implement, and solve a range of coding problems used to train AI systems.
Produce concise, high quality code samples accompanied by thorough explanations.
Assess AI-generated code for accuracy, performance, and readability.
Deliver feedback that informs the next generation of AI models.

Requirements

English fluency at native or bilingual level.
Proficiency in at least one language or framework from: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Strong writing and grammar skills.
Bachelor's degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand.
Flexible schedule: select projects and determine your working hours from your own setup.
Competitive pay: hourly rates up to $100 USD, with potential higher bonus rates on select projects.
Impactful work: contribute to advancing AI technologies and model development.

Notes and eligibility

Payments are issued via PayPal, and the platform will handle currency conversions from USD. This opportunity is limited to residents of the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand; applicants outside these regions will not see work or assessments available on the site at this time.

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1mo ago

Data Analyst - AI Trainer

DataAnnotation Brockton, MA 🇺🇸 Remote

Brockton, MA

1mo ago Closed

$50 - $100/hr Full time Ai Ml Ai Trainer Analyst

This position is no longer accepting applications (closed Jul 20, 2026).

Job Description

DataAnnotation is seeking a contract-based Data Analyst - AI Trainer to help train AI models by designing and solving coding problems, drafting code snippets, and evaluating AI-generated code. This fully remote, project-based role is based in Brockton, MA, with the option to work from anywhere.

Responsibilities

Design and solve diverse coding problems used to train AI systems.
Write clear, high-quality code snippets with detailed explanations.
Evaluate AI-generated code for accuracy, performance, and readability.
Provide feedback that directly informs the next generation of AI models.

Requirements

Fluency in English (native or bilingual level).
Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
Excellent writing and grammar skills.
A bachelor's degree (completed or in progress).
Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Technologies

JavaScript
TypeScript
Python
C
C#
C++
React
Go
Java
Kotlin
Swift

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and working hours, using your own computer from home.
Competitive pay: hourly projects, up to 100+ USD per hour, with potential for higher bonus rates on certain projects.
Impact: contribute to shaping the future of AI technologies.

Compensation

Hourly rate ranges from USD 50 to 100 per hour. Payments are processed via PayPal, which handles currency conversions from USD.

Note

Payment is made via PayPal. We will not request money from you. PayPal handles any currency conversions from USD.
This job is available to individuals in the United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand. Those outside these countries will not see work or assessments on our site at this time.

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1mo ago

Senior Data Engineer - Analytics

Everforth CyberCoders Philadelphia, PA 🇺🇸 Remote

Philadelphia, PA

1mo ago Closed

Full time Backend Developer Senior Analytics

This position is no longer accepting applications (closed Jul 20, 2026).

Job Description

Senior Data Engineer - Analytics role focused on designing data models, transformation pipelines, and APIs to power dashboards, ML features, and downstream systems.

Responsibilities

Architect and maintain end-to-end ELT/ETL pipelines using dbt Core and SQL targeted at BigQuery.
Create modular SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
Establish data quality checks, lineage, and observability to meet analytics SLAs.
Partner with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Develop and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; integrate LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on Google Cloud Platform using Cloud Run and other serverless options as appropriate.
Tune BigQuery performance and cost through partitioning, clustering, and query optimization.
Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Candidates must be authorized to work in the United States without visa sponsorship.

Technologies

dbt Core
SQL
BigQuery
Python
LLM APIs
Google Cloud Platform
Cloud Run
Vertex AI
FastAPI
RESTful APIs

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1mo ago

Data Engineer

General Dynamics Information Technology Mechanicsburg, PA

Mechanicsburg, PA

1mo ago Closed

$130k - $167k/yr Full time Data Data Engineer Engineer

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

The Data Engineer will design, build, deploy, and maintain data architectures, pipelines, and databases within the AWS GovCloud environment to support mission-critical government programs.

Location

Mechanicsburg, PA (onsite)

Compensation

USD 129,813 - 166,750 per yearly

Role Overview

Working within a multidisciplinary team of Data and Cloud Architects, Engineers, and Administrators, this role focuses on creating, deploying, and sustaining robust data architectures and databases in the AWS GovCloud setting to meet government program requirements.

Responsibilities

Collaborate with a team of data and cloud professionals to design, build, deploy, and maintain data architectures and databases in AWS GovCloud.
Develop, test, and maintain high performance, scalable data architectures and large-scale processing systems, migrate data from on-premises databases to cloud-based solutions, and transform data as needed.
Build and maintain scalable data pipelines and API integrations, ensuring pipelines are scalable, repeatable, and secure.
Deploy and manage databases and data delivery systems and translate them into insights, analysis, and reporting.
Identify and promote solutions that enhance the modern development environment to align with business needs and industry best practices.
Implement data extraction, load, and synchronization routines and ETL processes.
Establish data governance and quality controls and monitor ETL/ELT jobs to maintain performance and address issues promptly.
Improve system performance through testing, troubleshooting, and integration of new components while ensuring confidentiality and privacy requirements are met.
Collaborate with data scientists, architects, and stakeholders to ensure the data infrastructure supports required functions and performance metrics.
Design, model, document, and manage the logical and conceptual relationships of data and database changes.
Document data architecture and systems for both technical teams and non-technical stakeholders.
Conduct technical planning, system integration, verification and validation, and cost and risk assessments.

Requirements

Security Clearance Level: Active Top Secret clearance
Experience: 10+ years of prior data engineering experience
Experience implementing data warehousing concepts, ETL processes and tools (for example, Pentaho)
Experience developing and administrating in PostreSQL
Strong proficiency in SQL and experience with other querying languages
Experience in decomposing Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL
Hands-on expertise in data modeling, schema design, and database optimization for production environments
Knowledge of data security and compliance best practices
Experience with GitLab, Liquibase, and CI/CD pipelines is highly preferred
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, or RabbitMQ
Demonstrated experience in network and cyber security design, engineering, and operations with emphasis on Navy capabilities
Prior Navy experience
Experience with cloud data services (AWS, Azure, GCP)
Experience with Cloud Relational Database Services (AWS RDS, Aurora DB)
SAFe experience and knowledge
Experience with data warehousing and BI tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.
Experience with one or more programming languages such as Python, Java, Scala, or Go
Excellent verbal and written communication skills for interaction with technical and non-technical stakeholders
Self-starter with the ability to work independently with minimal supervision
8570/8140 IAT II CompTIA Security+ CE
Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar cloud certification, or Oracle Database Certified Associate or equivalent (highly preferred to have at start; if not, must obtain within 3 months of start)
Work Location: Mechanicsburg, PA or Yorktown, VA
U.S. Citizenship Required

Technologies

AWS GovCloud
Pentaho
PostreSQL
Postgres
SQL
Oracle PL/SQL
Amazon Aurora DB
MySQL
AWS
Azure
GCP
AWS RDS
Aurora DB
RedShift
MicroStrategy
Erwin Data Modeler
Python
Java
Scala
Go
GitLab
Liquibase
CI/CD
Apache Hadoop
Spark
Kafka
Debezium
RabbitMQ

Benefits

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

Work Requirements

10+ years of related experience
May vary based on technical training, certification(s), or degree
CompTIA Security+ CE
AWS Certified Solutions Architect - Associate or AWS Certified Data Engineer, or similar cloud certification
Less than 10%
U.S. Citizenship Required

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1mo ago

Cloud Data Engineer

S&N Infrastructure Louisa, VA

Louisa, VA

1mo ago Closed

$95k+/yr Full time Cloud Data Data Engineer

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

S&N Infrastructure is seeking a Cloud Data Engineer to architect, build, and sustain Azure-based data pipelines and Power BI solutions as part of an ERP cloud migration. This role focuses on delivering a robust data foundation, scalable semantic models, and executive-ready reporting to support strategic decisions. The position is hybrid and based in Louisa, Virginia, offering the chance to collaborate across multiple entities as the organization scales.

Responsibilities

Develop and scale the cloud data foundation that underpins enterprise reporting and analytics.
Design and operate reliable data pipelines linking ERP and other business-critical systems with an emphasis on reliability, maintainability, and performance.
Own end-to-end data ingestion, transformation, storage, and orchestration across the data platform.
Maintain a dependable, high-performing environment that can grow with the business.
Serve as a key technical contributor on the ERP cloud migration project.
Lead governance and evolution of the Power BI environment, including workspace structure, deployment standards, security, and performance optimization.
Create, optimize, and maintain datasets, dataflows, models, and business-critical reports.
Collaborate with stakeholders to translate reporting needs into actionable insights.
Develop scalable semantic models, DAX measures, and data layers to support informed decision-making.
Uphold governance standards and manage secure user access across the Power BI platform.
Set and enforce standards for data quality, consistency, and trust across the platform.
Build and maintain data dictionaries, lineage documentation, and metadata that scale with the organization.
Monitor platform health, troubleshoot issues promptly, and implement proactive alerting.
Collaborate with business teams to improve data accuracy and confidence in reporting.
Engage with business leaders to understand priorities and shape reporting solutions that matter.
Translate business questions into intuitive data models, dashboards, and visual insights.
Foster adoption through training, guidance, and documentation for Power BI users.
Work with software development and IT teams on application and integration data needs.
Support data-related priorities and roadmap discussions alongside IT leadership.

Requirements

Hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Data Lake Gen2, and Azure Synapse Analytics (serverless SQL).
Experience configuring, deploying, and monitoring Self-Hosted Integration Runtime (SHIR), with heartbeat alerting.
Strong knowledge of Change Data Capture (CDC) on SQL Server for near real-time inserts, updates, and deletes.
Proven track record building and supporting ADF incremental pipeline patterns in production, including LSN watermark logic from on-premises SQL to Azure.
Familiarity with Delta Parquet / Delta Lake architecture, including raw-to-curated layer design.
Experience building unified analytical views with Azure Synapse serverless SQL.
Deep Power BI experience across administration and development—DirectQuery, composite models, governance, datasets, dataflows, DAX, and semantic layers.
Platform monitoring with Azure Monitor, SQL Agent alerts, SHIR heartbeat, and Power BI freshness dashboards.
Strong ETL/ELT pipeline development with ADF, including incremental loads, watermarking, and orchestration.
Advanced SQL and T-SQL for data modeling, transformation logic, and cross-database analytics.
Implementing and managing Change Data Capture (CDC) on SQL Server 2016+.
Designing data lake architectures using raw-to-curated Delta format patterns.
Python or PySpark for data processing and transformation.
Integrating ERP data into reporting and analytics environments.
5+ years in data engineering or BI development.
Ability to work independently, make sound technical decisions, and own critical deliverables with limited oversight.
Comfort working in a growing, multi-entity environment with evolving priorities.
dbt or other SQL-based transformation framework experience in a modern analytics stack.
Azure DevOps and CI/CD experience for data pipelines, release management, and environment promotion.
Experience implementing Power BI governance standards, deployment pipelines, row-level security, and usage monitoring.
Experience with Microsoft Fabric, Power Automate, or broader Azure ecosystem.
Background in acquisition-heavy, multi-entity, or fast-scaling organizations with complex reporting needs.
Prior experience supporting ERP modernization, cloud migration, or enterprise reporting transformation.