11,911 Procurement Data Scientist jobs in the United States
Lead Data Scientist, Purchasing Analytics
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the development and deployment of advanced analytical models and machine learning algorithms to optimize purchasing strategies, identify cost-saving opportunities, and forecast demand.
- Analyze large, complex datasets related to supplier performance, market trends, pricing, and spend patterns.
- Develop key performance indicators (KPIs) and dashboards to track the effectiveness of procurement initiatives and supplier relationships.
- Collaborate closely with procurement, finance, and operations teams to understand their analytical needs and translate business challenges into data-driven solutions.
- Mentor and guide junior data scientists, fostering a culture of innovation and technical excellence.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through compelling visualizations and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and AI relevant to procurement and supply chain optimization.
- Design and implement A/B tests and other experiments to evaluate the impact of procurement strategies.
- Ensure data quality, integrity, and governance across all analytical projects.
- Identify new data sources and methodologies to enhance analytical capabilities.
- This is a fully remote position, requiring a proactive approach to collaboration and the ability to manage projects effectively without direct supervision. The role is notionally based in Nashville, Tennessee, US , but work can be performed from any approved remote location within the US.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- 7+ years of progressive experience in data science, with a strong focus on analytics within purchasing, procurement, or supply chain domains.
- Proven expertise in statistical modeling, machine learning (e.g., regression, classification, clustering, time series analysis), and optimization techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and database querying languages (e.g., SQL).
- Demonstrated ability to translate business requirements into analytical projects and deliver actionable insights.
- Excellent communication, presentation, and leadership skills.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of procurement processes, supplier management, and market analysis.
- Ability to thrive in a fast-paced, remote-first environment.
- This is a 100% remote role.
Remote Lead Data Scientist - Purchasing Analytics
Posted 17 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the development and implementation of advanced analytical models for purchasing data.
- Mentor and guide a team of data scientists and analysts.
- Define the analytical strategy and roadmap for procurement analytics.
- Build and deploy predictive models for demand forecasting, supplier risk assessment, and price optimization.
- Develop dashboards and reports to visualize key procurement metrics and insights.
- Collaborate with stakeholders to identify business challenges and opportunities for data-driven solutions.
- Ensure data quality, integrity, and governance for purchasing-related data.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Communicate complex analytical findings to both technical and non-technical audiences.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- 7+ years of experience in data science, with a significant focus on purchasing, supply chain, or operations analytics.
- Proven experience in leading data science teams and projects.
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python or R, and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of purchasing processes and supply chain management.
- Excellent communication, presentation, and interpersonal skills.
Data Scientist Office and Procurement Services
Posted 2 days ago
Job Viewed
Job Description
+ Working with business partners, define business use cases for using statistical and advanced analytics to improve existing and create new efficient and effective O&PS business processes.
+ Create detailed business requirements for functional (e.g., business processes, rules) and non-functional (e.g., data, security) capabilities.
+ Work closely with management to prioritize business and information needs.
+ Develop and implement data collection strategies involving different systems to optimize and maintain data quality: collect, clean, transform, analyze data as needed.
+ Utilize primary and/or secondary data sources; maintain databases and data systems.
+ Profile data sources using SQL and other data discovery tools in support of data quality and business intelligence design efforts.
+ Identify, analyze, and interpret trends and/or patterns in complex data sets; prepare inventories of items which could be developed/trained using analytical tools like machine learning.
+ Perform other duties and responsibilities as assigned.
+ Basic data governance concepts and practices within the financial services industry.
+ Understanding of ETL and data flow principles.
+ Data models, database design development, data mining and segmentation techniques.
+ Statistics, including hypothesis testing.
+ Various machine learning and other data science techniques.
+ Python programming.
+ Data visualization using tools like Qlik Sense and/or Tableau.
+ Financial Services or Wealth Management industries is preferred.
**Skill in**
+ Retrieving, blending, and analyzing data from a variety of sources and structures using tools such as Alteryx.
+ Using various scripting tools (e.g. Python, R, SQL, etc.).
+ Building models that business units understand, use, and acknowledge as value-adding.
+ Combining various sources of data to create meaningful information and dashboards.
+ Report writing and data visualization tools (Qlik Sense, Tableau, PowerBI, etc.).
**Ability to**
+ Focus on needs of internal and external clients; identify and understand issues, problems and opportunities; compare data from different sources to draw conclusions; proactively suggest next steps to business units; and maintain productive client relationships.
+ Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message; explain technical concepts to non-technical audiences.
+ Challenge conventional thinking and work with stakeholders to identify and improve the status quo.
+ Use effective approaches for choosing courses of action, developing appropriate solutions; and recommending/taking action that is consistent with available facts, constraints and potential risks.
+ Demonstrate satisfactory levels of technical and professional skills, knowledge in position-related areas; remain current with developments and trends in data science.
+ Develop and build collaborative relationships to facilitate the accomplishment of work goals.
+ Deliver work-products on schedule.
Lead Data Analysis
Posted 1 day ago
Job Viewed
Job Description
**This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.**
At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
Research, collect, process, and organize data into various data repositories including maintaining and updating interfaces, creating data rules and data mapping, resolving data discrepancies across multiple business applications, then responding to business requests to analyze data to generate actionable insights.
**What you'll do**
Typical tasks may include, but are not limited to, the following:
+ **Data Collection and Processing:** Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.
+ **Data Analysis and Interpretation:** Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.
+ **Reporting and Visualization:** Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.
+ **Discrepancy Resolution and Quality Assurance:** Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.
+ **Analytical Tools:** Includes SQL, PowerBI, Python, etc.
**What you'll need**
+ Bachelor's degree (BS/BA) desired in Computer Science, Math, etc.
+ 5+ years of related experience.
+ Certification is required in some areas.
**What you'll bring**
+ An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge.
+ Leads significant projects with strategic autonomy, influencing executive decisions.
+ Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.
**Supervisor:**
+ No
**TCP Career Step Differentiator:**
+ Manages complex data movement and storage from multiple sources, and high-level analytics to solve business problems.
Our Lead Data Analysis, earns between $130,700 - $96,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
**Joining our team comes with amazing perks and benefits:**
+ Medical/Dental/Vision coverage
+ 401(k) plan
+ Tuition reimbursement program
+ Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
+ Paid Parental Leave
+ Paid Caregiver Leave
+ Additional sick leave beyond what state and local law require may be available but is unprotected
+ Adoption Reimbursement
+ Disability Benefits (short term and long term)
+ Life and Accidental Death Insurance
+ Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
+ Employee Assistance Programs (EAP)
+ Extensive employee wellness programs
+ Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
+ AT&T internet (and fiber where available) and AT&T phone
If you're ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Apply today!
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Dallas, Texas
**Salary Range:**
$116,700.00 - $196,100.00
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
Senior Data Analysis
Posted today
Job Viewed
Job Description
**This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.**
Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won't just imagine the future- you'll create it.
We're seeking a data-driven professional to support the engineering, analysis, and documentation of enterprise datasets using SQL and related tools. This role is ideal for someone eager to learn the business behind the data-understanding how segments, products, channels, volumes, and revenue shape our operations.
**Key Responsibilities:**
+ **SQL-Based Data Engineering:** Design, write, and optimize SQL queries to extract, transform, and load data from various sources into structured repositories for analysis and reporting.
+ **Dataset Analysis & Business Understanding:** Analyze large datasets to uncover trends and relationships tied to business segments, product performance, channel activity, and revenue impact. Develop a strong understanding of the data's business context.
+ **Process Documentation & Data Mapping:** Create and maintain clear documentation of data flows, transformation logic, and business rules. Develop data dictionaries and process guides to support transparency and repeatability.
+ **Data Quality & Discrepancy Resolution:** Identify and resolve inconsistencies across systems. Collaborate with business and technical teams to ensure data integrity and alignment with business definitions.
+ **Cross-Functional Collaboration:** Work closely with sales, marketing, and commercialization teams to understand data needs and deliver actionable insights that support strategic decisions.
**Preferred Skills:**
+ Proficiency in **SQL** for data extraction and transformation.
+ Familiarity with **data visualization tools** (e.g., Power BI, Tableau).
+ Strong analytical mindset and attention to detail.
+ Ability to document technical processes clearly and concisely.
+ Curiosity to learn the business logic behind the data.
**Qualifications:**
+ Bachelor's degree in Computer Science, Data Science, Math, or a related field.
+ 1-2 years of experience in data analysis or engineering roles preferred.
**Note:**
+ This position is **based in Dallas, TX only** and requires **full-time in-office presence** .
Our Senior Data Analysis, earn between $118,800 - $78,200. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
**Joining our team comes with amazing perks and benefits:**
+ Medical/Dental/Vision coverage
+ 401(k) plan
+ Tuition reimbursement program
+ Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
+ Paid Parental Leave
+ Paid Caregiver Leave
+ Additional sick leave beyond what state and local law require may be available but is unprotected
+ Adoption Reimbursement
+ Disability Benefits (short term and long term)
+ Life and Accidental Death Insurance
+ Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
+ Employee Assistance Programs (EAP)
+ Extensive employee wellness programs
+ Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you'll lead transformation surrounded by trailblazing industry leaders like you. You'll be empowered to go above and beyond - making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.
And regardless of where you're at in your career trajectory, you'll be rewarded by the impact that comes with making a difference in the lives of millions.
With AT&T, you'll be a part of something greater, do incredible things and be rewarded with a chance to change the world.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.
Ready to close the deal on a career with AT&T?
Apply today.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Dallas, Texas
**Salary Range:**
118,800.00 - 178,200.00
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
Lead Data Analysis
Posted 1 day ago
Job Viewed
Job Description
**This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.**
At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
Research, collect, process, and organize data into various data repositories including maintaining and updating interfaces, creating data rules and data mapping, resolving data discrepancies across multiple business applications, then responding to business requests to analyze data to generate actionable insights.
**What you'll do**
Typical tasks may include, but are not limited to, the following:
+ **Data Collection and Processing:** Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.
+ **Data Analysis and Interpretation:** Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.
+ **Reporting and Visualization:** Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.
+ **Discrepancy Resolution and Quality Assurance:** Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.
+ **Analytical Tools:** Includes SQL, PowerBI, Python, etc.
**What you'll need**
+ Bachelor's degree (BS/BA) desired in Computer Science, Math, etc.
+ 5+ years of related experience.
+ Certification is required in some areas.
**What you'll bring**
+ An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge.
+ Leads significant projects with strategic autonomy, influencing executive decisions.
+ Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.
**Supervisor:**
+ No
**TCP Career Step Differentiator:**
+ Manages complex data movement and storage from multiple sources, and high-level analytics to solve business problems.
Our Lead Data Analysis, earns between $130,700 - $96,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
**Joining our team comes with amazing perks and benefits:**
+ Medical/Dental/Vision coverage
+ 401(k) plan
+ Tuition reimbursement program
+ Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
+ Paid Parental Leave
+ Paid Caregiver Leave
+ Additional sick leave beyond what state and local law require may be available but is unprotected
+ Adoption Reimbursement
+ Disability Benefits (short term and long term)
+ Life and Accidental Death Insurance
+ Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
+ Employee Assistance Programs (EAP)
+ Extensive employee wellness programs
+ Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
+ AT&T internet (and fiber where available) and AT&T phone
If you're ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Apply today!
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Dallas, Texas
**Salary Range:**
$116,700.00 - $196,100.00
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
Lead Data Analysis
Posted 5 days ago
Job Viewed
Job Description
_JOB TITLE:_ Lead Data Analysis
_REMOTE TYPE: Office Worker*_
_*Office Worker: In office position with work from home allowed, i.e. flex or hybrid worker_
_JOB LOCATION:_ 3400 W. Plano Parkway, Plano, TX 75075 (Hybrid)
_DUTIES:_ Create data structures and process that support marketing campaigns, advanced analytics and predictive modeling. Support of the MarTech system, including issue resolution, maintenance, production change request testing and implementation, and competently working within Palantir, the vendor provided marketing campaign tool solution. Work directly with our client community to define requirements then design and develop solutions that are architecturally sound, scalable, and adhere to the team defined frameworks. Act as an expert on the sourcing data for one or more of AT&T's major products. Work closely with our partners in the Chief Data Office (CDO) to define, develop, and maintain data systems that power AT&T Marketing operations, Details. Work on multiple projects concurrently within an informal and matrixed organization, independently managing your own priorities and schedule, communication effectively in verbal and written form. Create and present detail designs to meet user requirements. Create data models, including robust data definitions, which may be entity-relationship-attribute models, star-schema, or dimensional models. Create SQL programs to extract, transform and load data from and to various targets such as Palantir, Flat Files, Teradata, Oracle, Hadoop, SNOWFLAKE and Vertica using Python, Spark, Databricks Tools. Work with complex customer data. Oversee quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance. Create data structures for analytics, modeling and reporting. Use big data and cloud platforms (Hadoop, AWS, Azure). Utilize database marketing support. Support telco, Uverse, and wireless data.
_REQUIREMENTS:_ Requires a Master's degree, or foreign equivalent degree in Applied Computer Science, Computer Engineering, or Computer Science and two (2) years of experience in the job offered or two (2) years of experience in a related occupation creating SQL programs to extract, transform and load data from and to various targets including Palantir, Flat Files, Teradata, Oracle, Hadoop, SNOWFLAKE and Vertica using Python, Spark, Databricks Tools; working with complex customer data; overseeing quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance; creating data structures for analytics, modeling and reporting; using big data and cloud platforms (Hadoop, AWS, Azure);and utilizing database marketing support.
Our Lead Data Analysis roles earn between $145,987 - $178,200 yearly. Not to mention all the other amazing rewards that working at AT&T offers.
Joining our team comes with amazing perks and benefits:
· Medical/Dental/Vision coverage
· 401(k) plan
· Tuition reimbursement program
· Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
· Paid Parental Leave
· Paid Caregiver Leave
· Additional sick leave beyond what state and local law require may be available but is unprotected
· Adoption Reimbursement
· Disability Benefits (short term and long term)
· Life and Accidental Death Insurance
· Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
· Employee Assistance Programs (EAP)
· Extensive employee wellness programs
· Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Plano, Texas
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
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Data Analysis Engineer
Posted 1 day ago
Job Viewed
Job Description
**_At_** **_Henkel,_** **_you'll_** **_be_** **_part_** **_of_** **_an_** **_organization_** **_that's_** **_shaping_** **_the_** **_future_** **_through_** **_innovation,_** **_sustainability_** **_and_** **_collaboration._** **_With_** **_our_** **_trusted_** **_brands_** **_like_** **_Persil®,_** **_'all®,_** **_Loctite®,_** **_Snuggle®,_** **_and_** **_Schwarzkopf®_** **_and_** **_our_** **_cutting-edge_** **_technologies,_** **_you'll_** **_have_** **_countless_** **_opportunities_** **_to_** **_explore_** **_new_** **_paths_** **_and_** **_grow._**
What you´ll do
+ This position is responsible for the implementation of project work to enhance Manufacturing Execution Systems (MES) and applications.
+ The Data Analysis Engineer is responsible for trouble shooting complex systems-based issues in a fast-paced manufacturing environment.
+ As the Manufacturing Engineering Team works on process improvement projects, the Data Analysis Engineer will play an active and critical role by providing data and insights to help achieve the greatest positive impact.
+ Leverage data and technology to improve organizational efficiency
+ Identify improvement opportunities through analysis of factory operational data
+ Responsible for analyzing and summarizing existing process needs, establishing future data models, and working cooperatively with external resources to develop data informed solutions
+ Identify and implement solutions for short- and long-term systems issues through solid root cause analysis
+ Identify opportunities for digitization and / or automation
+ Acts as a subject matter expert for the discernment of systems and automation project feasibility
+ Responsible for the execution of MES project deployment
+ Acts as the local factory's primary contact with Henkel IT and third part resources
+ Develops and conducts training to all levels of MES users
+ Works closely and collaboratively with factory engineers to support daily operations and improvement projects
+ Ensures the security of operational systems and data
At Henkel, you'll be part of an organization that's shaping the future through innovation, sustainability and collaboration. With our trusted brands like Persil®, 'all®, Loctite®, Snuggle®, and Schwarzkopf® and our cutting-edge technologies, you'll have countless opportunities to explore new paths and grow.
This position is with our Adhesive Technologies business unit - where we empower our people to transform industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings.
Dare to learn new skills, advance in your career and make an impact at Henkel.
**What makes you a good fit**
+ Collects and analyzes data; able to use statistical tools to validate data findings
+ Responds well to questions; able to clearly articulate thinking; can present in front of a team
+ Able to create documents, e.g. project summaries, process instructions, training materials, etc., that are clear and effective
+ Ability to work with teams and work through conflict in a professional manner
+ Proficient with Microsoft products, e.g., Excel, Power BI, etc.
+ Can demonstrate Problem Solving and Project Management skillset
+ Experience in manufacturing environments
+ Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams, at all levels
+ Ability to plan, manage, and execute complex project activities to a successful conclusion while demonstrating a strong work ethic experience
+ Bachelor's Degree in: Computer Information Systems, Computer Science, Business Technology, or similar
+ Experience with SAP, MES/DCS/PLC or SCADA systems
+ VBA and/or Python coding knowledge (VBA preferred)
**Some benefits of joining Henkel**
+ Health Insurance: affordable plans for medical, dental, vision and wellbeing starting on day 1
+ Work-Life Balance: Paid time off including sick, vacation, holiday and volunteer time, and vacation buy / sell program
+ Financial: 401k matching, employee share plan with voluntary investment and Henkel matching shares, annual performance bonus, service awards and student loan reimbursement
+ Family Support: 12-week gender neutral parental leave (up to 20 weeks for parents giving birth), fertility support, adoption & surrogacy reimbursement, discounted child and elderly care, and scholarships
+ Career Growth: diverse national and international growth opportunities, access to thousands of skills development courses, and tuition reimbursement
The salary for this role is $70,000.00 - $93,000.00. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range. This salary range may also be modified in the future.
Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral.
Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.
**JOB ID:**
**Job Locations:** United States, SD, Brandon, SD
**Contact information for application-related questions:**
Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.
**Application Deadline:** As long as the vacancy is listed on our Career Site, we are happy to receive your application
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How is work at Henkel
Data Analysis Architect
Posted 5 days ago
Job Viewed
Job Description
**Req number:**
R6258
**Employment type:**
Full time
**Worksite flexibility:**
Hybrid
**Who we are**
CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
We are looking for a motivated Data Analysis Architect ready to take us to the next level! If you have experience with Sage/Agate grant management systems and at least 10 years in data architecture or systems planning, and are looking for your next career move, apply now.
**Job Description**
We are looking for a **Data Analysis Architect** to conduct requirements analysis and oversee data management for the Sage and Agate Grant Management systems. This position will be **full-time** contract and **hybrid** requiring three days per week in office in Trenton, New Jersey.
**What You'll Do**
+ Partner with stakeholders to understand business needs and current data challenges
+ Conduct analysis to identify gaps and opportunities in existing data systems
+ Develop clear plans and roadmaps for improving data management and integration
+ Oversee project timelines, deliverables, and scope to ensure successful outcomes
+ Translate complex ideas into accessible concepts for non-technical audiences
+ Support decision-making by providing insights and recommendations based on data analysis
+ Ensure that proposed solutions align with organizational goals and existing systems
**What You'll Need**
Required:
+ Experience with grant management systems (Sage/Agate)
+ At least 10 years of experience in a data architecture or systems planning role
+ Strong ability to engage with stakeholders and lead collaborative discussions
+ Proven track record of designing practical solutions using existing systems
+ Comfortable working with data concepts and systems, with a focus on strategy and planning
+ Excellent communication and organizational skills
Preferred:
+ Advanced knowledge of data integration and analytics tools
+ Experience in public sector or healthcare-related data architecture
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or (888) 824 - 8111.
$0 - 68 per hour
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.
Data Analysis Architect
Posted 15 days ago
Job Viewed
Job Description
Data Analysis Architect
Location: Trenton, NJ (Hybrid)
Duration: 12+ Months
Job Summary
• Required skills, experience, etc.: 10+ years of experience with data architecture or systems planning, experience with grant management systems (Sage/Agate), designing practical solutions using existing systems, advanced knowledge of data integration and analytics tools, experience in public sector or healthcare related data architecture
Interview process: 2 interviews with Client - 1 virtual technical interview, and 1 onsite interview-must be local
Job Description
We are looking for a Data Analysis Architect to conduct requirements analysis and oversee data management for the Sage and Agate Grant Management systems.
What You'll Do
- Partner with stakeholders to understand business needs and current data challenges
- Conduct analysis to identify gaps and opportunities in existing data systems
- Develop clear plans and roadmaps for improving data management and integration
- Oversee project timelines, deliverables, and scope to ensure successful outcomes
- Translate complex ideas into accessible concepts for non-technical audiences
- Support decision-making by providing insights and recommendations based on data analysis
- Ensure that proposed solutions align with organizational goals and existing systems
What You'll Need
Required:
- Experience with grant management systems (Sage/Agate)
- At least 10 years of experience in a data architecture or systems planning role
- Strong ability to engage with stakeholders and lead collaborative discussions
- Proven track record of designing practical solutions using existing systems
- Comfortable working with data concepts and systems, with a focus on strategy and planning
- Excellent communication and organizational skills
Preferred:
- Advanced knowledge of data integration and analytics tools
- Experience in public sector or healthcare-related data architecture