Syniti Data Migration Training Jobs in Usa

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

• Better together:We check our egos at the door. We work together, so we win together.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

• Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
• Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drivedata quality and governance initiatives, including metadata management and validation frameworks.
• Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
• Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
• Ensure adherence tosecurity, compliance, and data privacystandards.
• Mentor junior engineers and contribute to establishingengineering best practices.
• SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
• Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
• Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

• Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
• Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
• Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
• Strong understanding ofdata modeling,data governance, andmetadata management.
• Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
• Familiarity withPower BIvisualization tool.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
• Experience buildingreal-time data pipelinesand streaming frameworks.
• Strong analytical and problem-solving skills.
• Proven ability tolead projectsand mentor engineers.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We are seeking a highly skilled and experienced Data Analyst with Power BI Specialty to join a dynamic team of marketing analysts in driving forward our mission to transform business and ad tech data into valuable marketing insights. As a Data Analyst / Power BI Specialist in the Wiley Marketing team, you will play a crucial role developing strategically important shared data models for reports that influence strategic decision-making, shed light on campaign performance, and ensure the success of our publishing initiatives. We're looking for a methodical, future-thinker, who can support and guide others in the team to do the same. We have rich data landscape at our fingertips; this role is a key advocate in its practical application to benefit marketing effectiveness.

How you will make an impact:

• Develop and maintain shared semantic models in Power BI using star schema design.

• Develop SQL queries to extract and manipulate data from our BigQuery database for use in Power BI.

• Define and implement best practice report/data management through Microsoft Fabric integrations

• Review and maintain reports for performance optimizations, style consistency, and best practice improvements.

• Consult on and support building a data model and structure that enables efficient and accurate reporting and analysis.

• Consult on wireframe design during the early stages of building new reports to provide guidance on effective visualization and user experience.

• Consult on the development of strategically insightful reporting dashboards with actionable insights to support key stakeholder decision-making processes.

We are looking for people who have:

• Experience (4+ years) in Data Modelling, Data Analysis, or similar.

• Demonstrated experience with Power BI, semantic models, and other Microsoft Fabric tools.

• Demonstrated proficiency creating SQL queries to manipulate large datasets.

• Strong analytical and problem-solving skills, with a focus on best practice and data governance.

• Strong attention-to-detail, with the ability to organize and maintain datasets using meticulous, self-determined methods.

• Strong communication skills, with the ability to define requirements and explain technical concepts to both technical and non-technical stakeholders.

• Experience with BigQuery or other data warehousing platforms.

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance.

We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

When applying, please attach your resume/CV to be considered.

Salary Range:

Job Posting Title:

Location:

Title: Data Center Technician

Location : Macungie, Pennsylvania, United States

Contract : 1 year with Extension

Job Description:

We are looking for a Level 1 Data Center Technician to support day-to-day operations in the data center. The candidate will assist with basic technical tasks, monitor systems, and ensure the smooth functioning of data center equipment.

Key Responsibilities:

• Monitor data center systems, servers, and network devices.
• Perform basic hardware installation, replacement, and troubleshooting.
• Rack and stack servers, switches, and other equipment.
• Support cable management and labeling in the data center.
• Monitor alerts and escalate issues to Level 2 or senior engineers when required.
• Perform routine checks on power, cooling, and environmental systems.
• Maintain documentation and update asset inventory.
• Assist with system backups and basic maintenance tasks.
• Follow data center security and safety procedures.

Required Skills:

• Basic knowledge of servers, networking, and hardware components.
• Understanding of data center operations and infrastructure.
• Familiarity with operating systems like Windows or Linux (basic level).
• Ability to troubleshoot hardware issues.
• Good communication and documentation skills.

Qualifications:

• Diploma or Bachelor’s degree in IT, Computer Science, or a related field.
• 0–2 years of experience in IT support or data center environment.
• Basic knowledge of networking and hardware support.

Preferred Skills:

• Experience with server hardware installation.
• Knowledge of cable management and rack installation.
• Familiarity with ticketing systems.

Support Center - Irving

The Manager – Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

• Strategic Thought Leadership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved

Data Analytics

• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Staff Management & Development

• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

• Bachelor’s degree in relevant quantitative field required, Master’s preferred

Minimum Special Certifications or technical skills

• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

• Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

EEOC Know Your Rights Poster in English

EEOC Know Your Rights Poster in Spanish

EEOC Poster Optimized for Screen Readers

Federal FMLA Poster

Federal EPPAC Poster

**Direct Hire***

• Title: Digital Technology Data Scientist Lead

• 2 positions

• Start Date: asap

• Compensation Range: $139,800.00/year, up to 10% bonus

• Location: Oshkosh, WI strongly preferred. New Hudson, MI site will also be considered. (3 days in office, up to 2 days remote).

• Relocation offered to Oshkosh, WI, but not to New Hudson, MI.

• Travel: minimum travel (1-2 times per year to other sites)

• US Citizen or Green Card Holder

• Interview process: Screening interview with internal recruiter, after an assessment, an interview with the hiring manager and director, then a panel interview (onsite possible if local to Oshkosh).

**Must have on resume and be able to discuss during interview process**

• Required technical skills (see below in JD)

• Strong business experience working with business counterparts.

• Effectively being able to gather business requirements, build a solution, communicate it to the client.

• Exceptional communication skills.

• Be able to tell a story with data.

• Must be able to describe how their experience impacted the business, the solution they built.

• An understanding that they are working in a bigger environment; must have a center of excellence outlook, be comfortable with mingling with counter business parts and have strong social skills. This is not a "put your head down and work" role.

• Experience from manufacturing, automotive, industrial, or engineering industry is preferred, but is open to other industries like healthcare, retail, or biotech for example.

Heavy financial industry experience should be avoided.

• Supply chain functions experience is important

• B.S. with 5 years of experience

• M.S. with 3 years of experience

• The team is not looking for director level candidates or talent only looking for management roles. This is an individual contributor role.

Job Description:

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.

YOUR IMPACT:

• Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.

• Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.

• Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.

• Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements.

• Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products.

• Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. • Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.

• Coach and mentor other team members on new technologies and best practices across data science and business intelligence.

• Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. • Actively supports the advancement of the strategic roadmap for data science.

MINIMUM QUALIFICATIONS:

• Bachelors degree with five (5) or more years of experience in the field or in a related area.

STANDOUT QUALIFICATIONS:

• Masters or doctorate degree

• Expertise in Power Platforms

• Familiarity with LLM (open source or closed)

• Experience in Front end web app development (Flaskapp, Gradio etc)

• Familiarity with RAG architecture

Data Business Analyst (Primarily REMOTE)

Optomi, in partnership with a leading data-driven organization, is looking for a Data Business Analyst to join their team. The Data Business Analyst will support the data team by engaging in documentation, requirements gathering, and data analysis. The role involves working closely with business teams to document their needs, create technical requirements, and develop PowerBI dashboards. The analyst will collaborate with the Principal Data Engineer and PM/Scrum Master to ensure seamless communication and updates to business teams. Post-deployment, the analyst will gather feedback to ensure high user adoption.

What the right candidate will enjoy:

• Engaging in a collaborative, remote-friendly environment.
• Working with cutting-edge data platforms like Databricks on AWS.
• The opportunity to influence architectural decisions early in the project lifecycle.

What type of experience does the right candidate have:

• Proven experience in business analysis and customer service.
• Strong skills in documentation and requirements gathering.
• Experience with PowerBI and AWS services, especially Lambda.

What the responsibilities are of the right candidate:

• Gather and document business needs and technical requirements.
• Develop and enhance PowerBI dashboards, focusing on visual appeal and accuracy.
• Partner with data engineers and project managers to deliver updates and gather feedback from business teams.
• Conduct data analysis and QA testing to ensure dashboard quality and functionality.

The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.

KEY RESPONSIBILITIES

• Developing and implementing data management strategies
• Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
• Lead a team of database and Power BI developers
• Leverage Data Modeling and AI tools
• Managing data quality and accuracy
• Overseeing data storage and retrieval
• Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
• Determine budgeting for staff and resources
• Gathering and verifying requirements, conducting unit testing and troubleshooting
• Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
• Mentoring and training direct reports
• Ensure all data warehouse and operating procedures are fully documented and maintained
• Create and Automate reporting to support daily operational functions
• Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
• Creating and presenting data visualizations
• Communicating business insights and project goals

QUALIFICATIONS AND EXPERIENCE

• Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
• Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
• Background in data warehouse design (e.g. dimensional modeling) and data mining
• Proven experience as a SQL Developer or Data Scientist
• Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
• Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
• Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
• Strong project management acumen
• Strong technical documentation skills
• Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
• Excellent written and oral communication skills; able to flex style based on the audience are required.
• Well-developed interpersonal skills
• Able to manage multiple tasks simultaneously.
• Highly self-motivated with ability to follow directed priorities.
• Keen attention to detail
• Team-oriented and collaborative leadership

EDUCATION REQUIREMENT

Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.

BUSINESS HOURS

• Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
• On-call availability for resolving emergency issues from home.

Clinical Data Project Manager

$45/hr | 1‑Year Contract (Potential for Hire)

Birmingham, AL | Hybrid

Overview

We’re looking for an operations‑focused PM/Clinical Data SME to support day‑to‑day clinical data issues, interface data troubleshooting, and sprint‑based enhancement work for a major healthcare insurance client.

What You’ll Do

• Support daily operations and resolve issues related to clinical and interface data.
• Investigate missing data, failed transactions, and data quality gaps.
• Serve as an SME on 3‑week sprints for enhancements or clinical data stories.
• Work closely with both business and IT PMO teams, bridging communication and requirements.
• Maintain and support the project once live.
• Collaborate in a highly team‑oriented environment with strong knowledge sharing.

What You Need

• Experience with clinical data, healthcare operations, or clinical systems.
• Understanding of data interfaces and data flow.
• Project management or Scrum experience.
• Strong analytical and communication skills.

Director of SIOP Data Science & Analytics

Company: PrimeSource Building Products

Department: Sales, Inventory & Operations Planning (SIOP) – Supply Chain

Job Status: Full-Time

Reports To: EVP of Supply Chain

Travel: ~10%

Work Schedule: Monday–Friday, standard business hours

Work Location: On-site Monday through Thursday, remote on Fridays

Why PrimeSource Building Products?

At PrimeSource Building Products, we don’t just distribute building materials — we help build the infrastructure that supports communities across North America. We are a fast-paced, growth-oriented organization grounded in our PrimeSource BluePrint values:

• Care
• Winning Together
• Working Hard
• Working Smart
• Working Fast

Our culture is built on accountability, collaboration, and continuous improvement. When you join PrimeSource, you are joining a team that values performance, innovation, and people.

Why This Role Matters

This role sits at the center of our supply chain strategy, driving how we leverage data, analytics, and systems to improve decision-making across the business.

The Director of SIOP Data Science & Analytics plays a critical role in enhancing visibility, improving performance, and aligning cross-functional teams to deliver on service, cost, and working capital objectives.

POSITION SUMMARY

Reporting to the EVP of Supply Chain, the Director of Supply Chain Data Science & Analytics serves as a strategic partner across Supply Planning, Demand Planning, Operations, Sourcing and Procurement.

This role leads the development and execution of end-to-end supply chain analytics, systems, and data strategies that enable informed decision-making across sourcing, procurement, inventory, and service. Acting as a central leader, this position drives visibility, alignment, and performance across the supply chain to achieve service, cost, and working capital objectives.

The Director will also manage a team of analysts, guiding their work, development and contribution to support Supply Planning, Demand Planning, Operations, Sourcing and Procurement.

KEY RESPONSIBILITIES

Supply Chain Analytics & Strategy

· Define and lead the supply chain data and analytics strategy aligned with business objectives.

· Establish scalable data architecture, governance, and quality standards to ensure accuracy and accessibility across systems.

· Develop advanced analytics and insights to support decision-making across planning, sourcing, procurement, and operations.

· Stay current on emerging technologies (AI/ML, data engineering) and drive adoption where appropriate.

S&OP/S&OE Leadership

· Lead S&OP/S&OE processes to proactively manage supply-demand imbalances and resolve constraints.

· Provide real-time visibility into supply chain performance and risks, enabling rapid decision-making.

· Ensure alignment between demand, supply, sourcing, procurement, and operational execution plans.

Cross-Functional Partnership (Planning, Procurement, Sourcing, Operations)

· Partner with Supply Planning and Demand Planning to ensure accurate translation of demand plans into executable supply plans.

· Collaborate with Sourcing and Procurement to enhance sourcing strategies, supplier performance analytics, and inbound supply visibility.

· Work closely with Operations to align production plans, capacity constraints, and execution performance with supply plans.

· Enable end-to-end integration of sourcing, procurement, production, and inventory strategies.

Performance Management & KPIs

· Define and monitor cross-functional KPIs (fill rate, inventory, forecast accuracy, OTIF).

· Develop dashboards and reporting tools to provide actionable insights to leadership.

· Partner with Finance to align inventory targets and financial outcomes with business goals.

· Drive a performance culture focused on measurable outcomes and continuous improvement.

Systems & Tools Leadership

· Own and optimize supply chain systems ecosystem (ERP/MRP, planning tools, reporting platforms).

· Lead integration and orchestration of tools such as SAP (APO/IBP), Blue Yonder, and analytics platforms.

· Oversee development of dashboards, data pipelines, and reporting frameworks.

· Ensure systems effectively support end-to-end supply chain processes.

Inventory & Service Optimization

· Lead network-level inventory optimization across distribution centers and hubs.

· Implement best-in-class inventory management practices, including safety stock strategies.

· Partner with Sales and Operations to manage excess, shortages, and product transitions.

Leadership & Team Development

· Lead a high-performing team of analysts fostering technical and business expertise.

· Coach, mentor, and grow team members, fostering technical and business expertise while driving accountability and results.

· Influence cross-functional stakeholders at all levels of the organization.

· Act as a change agent, driving innovation, collaboration, and continuous improvement across the supply chain.

QUALIFICATIONS

Education

· Bachelor’s degree in Supply Chain, Engineering, Business, Computer Science, or related field required

· Master’s degree or relevant certifications preferred

Experience

· 10+ years of progressive experience in supply chain analytics, supply planning, procurement, and/or operations

· Proven leadership experience in S&OP/SIOP and S&OE environments

· Strong background in inventory management, supply planning, and supply chain optimization

· Experience with ERP/MRP and planning systems (SAP, Blue Yonder/JDA, or similar)

· Demonstrated ability to lead cross-functional initiatives and influence executive stakeholders

· Experience implementing large-scale supply chain transformations or system integrations

· Experience managing large, complex supply chain networks

Technical Skills

· Advanced proficiency in:

o ERP/MRP systems (SAP, JDE, Blue Yonder)

o Data tools (SQL, Snowflake, Alteryx)

o Reporting tools (Power BI, Tableau, SAP Business Objects)

· Strong understanding of data architecture, data engineering, and analytics frameworks

· Experience with statistical inventory models and optimization tools

CORE COMPETENCIES

· Strategic thinking and business acumen

· Cross-functional leadership and influence

· Analytical problem-solving and decision-making

· Communication and executive presence

· Change leadership and continuous improvement mindset

· Ability to operate effectively in complex, fast-paced environments

· Self-starter with strong ownership mindset

· High integrity and accountability

· Ability to balance strategic vision with hands-on execution

· Comfortable navigating ambiguity and driving results

Compensation

Base salary range of $145,000 – $175,000 annually, plus performance-based bonus. Compensation will be determined based on experience, qualifications, and internal equity, and may vary based on the overall scope and alignment of the role.

Equal Opportunity Employer

PrimeSource Building Products is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2

Location: Blue Ash, OH 45241

Duration: 6 months (Contractor)

Pay Rate: $55–$75/hr (W2)

Interview Process: In-person interviews required at Blue Ash, OH location.

Overview

Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.

Key Responsibilities

• Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
• Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
• Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
• Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
• Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
• Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
• Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.

Requirements

• 5+ years as Data Engineer.
• Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
• Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
• Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
• Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
• Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
• SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on