Senior Data Architect - Analytics Platforms Location: Beachwood, Ohio, Galesburg, Michigan, Houston, Texas, USA, Menomonee Falls, Wisconsin, Moon Township, Pennsylvania, Raleigh, North Carolina, Southfield, Michigan, Job Description: Eaton's Corporate Sector division is currently seeking a Senior Data Architect - Analytics Platforms. This position can be based out of any of the following locations on a hybrid work schedule: Beachwood OH, Galesburg MI, Houston TX, Menomonee Falls WI, Moon Township PA, Raleigh NC or Southfield, MI. The expected annual salary range for this role is $130000 - $190000 a year. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations. What you'll do: Job Summary Leads the design, alignment, and maintenance of data models across assigned domains (Sales, Marketing, HR, and business sector domains), ensuring consistency with business requirements and technical standards. Applies growing expertise in data governance, metadata management, and data integration to support the creation of scalable and reusable data assets. Works with engineers and analysts to implement data quality measures and supports the adoption of best practices in data architecture. May own data models for several domains or a broader set of data assets. Job Responsibilities Develop and maintain conceptual, logical and physical data models for assigned domains or several data assets. Regularly review and refine models to reflect evolving business needs and technology standards. Ensure semantic layers provide meaningful, consistent views for reporting and analytics. Support implementation of data governance policies. Help monitor adherence to governance policies and escalate issues as needed. Contribute to the documentation and management of metadata for all data assets, ensuring that data definitions, sources, and transformations are clearly recorded. Support the implementation of tools and processes for tracking data lineage, enabling transparency and traceability from source to consumption. Collaborate with engineers and analysts on data integration and quality." Qualifications: Basic Qualifications (Required): - Bachelor's Degree from an accredited institution required. - Minimum of 7 years of working in analytics and business intelligence - Must have solid understanding of data models - No relocation is provided for this position. Candidates must reside within a 50-mile radius of one of the following: Beachwood OH, Galesburg MI, Houston TX, Menomonee Falls WI, Moon Township PA, Raleigh NC or Southfield, MI to be considered for this opportunity. Candidate must be authorized to work in the United States on a continuous basis without company sponsorship. Preferred Qualifications: - Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form). - Experience working in sales and marketing functions - Demonstrated experience with cloud-based data lakes and warehouse technologies (Apache Iceberg, Snowflake) - Intermediate programming ability in multiple data manipulation languages (Python, Scala, SQL, PL-SQL) - Intermediate experience with DevSecOps and CI/CD principles and tools - Demonstrated experience with metadata management and data lineage tools. - Skilled in supporting data integration (ETL/ELT) and data quality frameworks. - Strong understanding of data security, access controls, and privacy principles. - Proficient with cloud data platforms and data governance practices. - Proficient in documenting and communicating technical solutions effectively. - Experience building robust semantic models that can be consumed by AI. Skills: Soft skills Excellent communication skills, both written and verbal, are vital for this role. The ability to communicate with staff at junior and mid-level managers is preferred. Strong ability to build relationships across multiple business disciplines, provide general direction and recommendations, comfortable educating in front of large online audiences. Problem-solving skills, analytical skills, strategic thinking, and change management skills are also essential. Ability to work independently and collaboratively in a fast-paced environment. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws. You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work.

The Product Owner Data & Analytics is the bridge between business stakeholders and technical teams and actively maintains relationships with key business partners to identify analytics opportunities, develop product vision, strategy, roadmaps, user stories, backlogs and data best practices for the Multi-Color Analytics Platform (MAP). This role is responsible for ensuring that Multi-Color achieves maximum value out of their investments in Snowflake and Power BI. Responsible for building relationships with key leaders and power users across functions including Finance, Commercial, and Operations to refine and implement analytics solutions, champion best practices, and drive adoption. This is a remote opportunity. Responsibilities: • Collaborate with key stakeholders to define business objectives, maintain product roadmaps and develop and prioritize backlog. • Define and manage the lifecycle of data products. • Champion data quality, lineage, and compliance standards. • Guide and assist internal and vendor development teams. • Conduct knowledge transfer and training of end-users, including sharing best practices. • Partner with power users to develop and monitor usage metrics and drive adoption. • Actively participate in the development of increasing data and analytics maturity. • Actively participate in Agile ceremonies. • Assist in managing platform and delivery vendors. Stay current with platform innovations and actively seek opportunities to adopt new features. • Model the Corporate Values (Integrity, Passion, Creativity, Perseverance and Achievement) and Principles Qualifications: • 10 years experience in development of data and analytics, preferably as requirements analyst, product owner or product manager. Experience with enterprise data warehouse development. • Demonstrated strong analysis skills. • Dynamic communication skills. • Passion for product management and product delivery. Ability to inspire senior leaders, key stakeholders and power users on data and analytics product vision. • Strong relationship building and collaboration skills. • Experience with modern data and analytics platforms, preferably Snowflake, Matillion and PowerBI. • Global Manufacturing or print industry experience. • University degree, preferably in Computer Science. #LI-ML1 #appcast For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world’s most iconic and recognizable brands. Our labels elevate emotional connections with consumers and help brands stand out in competitive markets. Honoring our rich history as a market leader, we focus on the future by developing sustainable packaging solutions and consumer-driven innovations. MCC combines global reach with the personalized touch of local service through our network of facilities across 25+ countries. More than 12,000 teammates come together to make our industry-leading work possible and bring our True Colors to life. Join us at MCC, where every product is Labeled with Care. Learn more at www.mcclabel.com. If you need assistance or an accommodation in applying, please contact our Human Resources Department at recruiting@mcclabel.com. Multi-Color is committed to providing equal employment opportunities and prohibits discrimination based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

About the Job The Lifetime Value Co. is looking for a Data Analyst Contractor (Content Team Support for Data Studies) to join our growing team. Are you passionate about uncovering actionable insights from data? Join our forward-thinking content team as a Remote Data Analyst, leveraging your analytical expertise to create compelling data-driven studies that power brand content. You'll play a pivotal role in shaping stories, finding trends, and making sense of complex data sets—using both manual and AI-driven analysis. If you love investigating data from every angle, thrive in a collaborative, creative environment, and have a keen interest in brand storytelling, this is the role for you! At LTV, we all work closely together across teams so there's no red tape or bureaucracy. We get things done! What You Will Get to Do - Data Analysis & Insight Generation: Analyze diverse datasets to identify trends, patterns, and unique angles for content studies. Interpret data using a range of techniques and parameters to meet the content team’s needs. The data analysis are used to create high quality data studies with the goal of garnering news coverage and backlinks for the company. - AI Integration: Use and prompt generative AI tools (e.g., ChatGPT, AI data analysis platforms) to assist in data exploration, cleaning, and summarization. Efficiently blend manual and automated approaches to maximize productivity and accuracy. - Automation & Scripting: Run and develop scripts (Python, R, etc.) for data collection, processing, and automated report generation. Design workflows that streamline recurring analysis tasks. - Web Scraping: Obtain structured and unstructured data from web sources using scraping tools (BeautifulSoup, Google Colab, Selenium, etc.). Clean and validate scraped data for analysis. - Data Visualization: Create clear, engaging data visualizations using tools like Tableau, Google Sheets, Excel, or Python libraries (Matplotlib, Seaborn, Plotly) to support content narratives. - Collaboration & Communication: Work closely with writers, editors, and content strategists to translate data findings into compelling, reader-friendly insights and visual assets. - Quality Assurance: Validate data accuracy, troubleshoot anomalies, and document methodologies to ensure reliability and transparency. What You Bring to the Table - Technical Proficiency: - Experience with SQL for querying and managing databases. - Skilled in web scraping and automation (BeautifulSoup, Selenium, etc.). - Advanced Excel/G-Sheets (pivot tables, formulas, data modeling). - Experience with Google BigQuery and Looker - AI & Automation: - Experience using or prompting AI tools for data analysis. - Familiarity with AI for automating routine analytic processes. - Data Visualization: - Competent in building dashboards and custom visualizations (Tableau, Excel, or equivalent). - Analysis & Critical Thinking: - Able to examine data sets from multiple perspectives, using various parameters to unearth original angles. - Experience with exploratory data analysis, statistics, and trend identification. - Communication: - Comfortable explaining analysis outcomes to non-technical team members. - Strong attention to detail and narrative thinking. - Self-Driven & Remote Friendly: - Proven ability to work independently, manage deadlines, and communicate asynchronously in a distributed team. Nice To Have - Previous experience supporting content, marketing, or digital media teams. - Knowledge of data journalism or content strategy. - Familiarity with additional scripting languages (JavaScript, Google Apps Script, etc.). - Experience with APIs for data acquisition. - Exposure to machine learning or advanced statistical modeling. - Strong in Python and/or R for data manipulation and analysis. Why LTV Co.? If you have ambitions to be a part of a high-growth, results-driven, industry-leading organization, LTV is the place to be. LTV builds exciting data products and then we market them with passion. We’re a remote-first, fast-growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top .01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data-driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development. We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win and the idea of losing is a non-starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this! About Us LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time their mission was to provide easy and affordable access to public records. Something that in 2007, was only really accessible to corporations. Since then their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has 9 consumer brands including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, and MoneyBot5000. Our mission is to develop a diverse portfolio of technologies, products, and services, that give all people equal access to unbiased data and information. We believe that through this access people can empower and protect themselves in today’s ever-changing world, filled with fake news, deception, and a lack of transparency.

About the Job The Lifetime Value Co. is looking for a Data Analyst Contractor (Content Team Support for Data Studies) to join our growing team. Are you passionate about uncovering actionable insights from data? Join our forward-thinking content team as a Remote Data Analyst, leveraging your analytical expertise to create compelling data-driven studies that power brand content. You'll play a pivotal role in shaping stories, finding trends, and making sense of complex data sets—using both manual and AI-driven analysis. If you love investigating data from every angle, thrive in a collaborative, creative environment, and have a keen interest in brand storytelling, this is the role for you! At LTV, we all work closely together across teams so there's no red tape or bureaucracy. We get things done! What You Will Get to Do - Data Analysis & Insight Generation: Analyze diverse datasets to identify trends, patterns, and unique angles for content studies. Interpret data using a range of techniques and parameters to meet the content team’s needs. The data analysis are used to create high quality data studies with the goal of garnering news coverage and backlinks for the company. - AI Integration: Use and prompt generative AI tools (e.g., ChatGPT, AI data analysis platforms) to assist in data exploration, cleaning, and summarization. Efficiently blend manual and automated approaches to maximize productivity and accuracy. - Automation & Scripting: Run and develop scripts (Python, R, etc.) for data collection, processing, and automated report generation. Design workflows that streamline recurring analysis tasks. - Web Scraping: Obtain structured and unstructured data from web sources using scraping tools (BeautifulSoup, Google Colab, Selenium, etc.). Clean and validate scraped data for analysis. - Data Visualization: Create clear, engaging data visualizations using tools like Tableau, Google Sheets, Excel, or Python libraries (Matplotlib, Seaborn, Plotly) to support content narratives. - Collaboration & Communication: Work closely with writers, editors, and content strategists to translate data findings into compelling, reader-friendly insights and visual assets. - Quality Assurance: Validate data accuracy, troubleshoot anomalies, and document methodologies to ensure reliability and transparency. What You Bring to the Table - Technical Proficiency: - Experience with SQL for querying and managing databases. - Skilled in web scraping and automation (BeautifulSoup, Selenium, etc.). - Advanced Excel/G-Sheets (pivot tables, formulas, data modeling). - Experience with Google BigQuery and Looker - AI & Automation: - Experience using or prompting AI tools for data analysis. - Familiarity with AI for automating routine analytic processes. - Data Visualization: - Competent in building dashboards and custom visualizations (Tableau, Excel, or equivalent). - Analysis & Critical Thinking: - Able to examine data sets from multiple perspectives, using various parameters to unearth original angles. - Experience with exploratory data analysis, statistics, and trend identification. - Communication: - Comfortable explaining analysis outcomes to non-technical team members. - Strong attention to detail and narrative thinking. - Self-Driven & Remote Friendly: - Proven ability to work independently, manage deadlines, and communicate asynchronously in a distributed team. Nice To Have - Previous experience supporting content, marketing, or digital media teams. - Knowledge of data journalism or content strategy. - Familiarity with additional scripting languages (JavaScript, Google Apps Script, etc.). - Experience with APIs for data acquisition. - Exposure to machine learning or advanced statistical modeling. - Strong in Python and/or R for data manipulation and analysis. Why LTV Co.? If you have ambitions to be a part of a high-growth, results-driven, industry-leading organization, LTV is the place to be. LTV builds exciting data products and then we market them with passion. We’re a remote-first, fast-growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top .01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data-driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development. We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win and the idea of losing is a non-starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this! About Us LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time their mission was to provide easy and affordable access to public records. Something that in 2007, was only really accessible to corporations. Since then their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has 9 consumer brands including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, and MoneyBot5000. Our mission is to develop a diverse portfolio of technologies, products, and services, that give all people equal access to unbiased data and information. We believe that through this access people can empower and protect themselves in today’s ever-changing world, filled with fake news, deception, and a lack of transparency.