Role Description The Senior MDM Analyst is responsible for proactive identification, analysis, and support of complex Master Data Management (MDM) solutions and will play a critical role in ensuring the accuracy, consistency, and integrity of our master data. This role will involve working closely with various stakeholders and teams to develop, implement, and maintain effective MDM solutions including supplier, customer, material, and other domains as needed. The Senior MDM Analyst will need to foster relationships throughout the organization to gather data and an understanding of what the data means to the business. This role will be a key participant in transformation initiatives related to MDM and Data Governance at Builders FirstSource. Essential Duties and Responsibilities - Collaborate with team members to ensure understanding of the functional MDM requirements and future strategic direction of the business. - Provide functional guidance and support to other team members and stakeholders regarding MDM best practices. - Translate MDM functional requirements into technical requirements and design. - Participate in solution design and support robust and complex initiatives. - Collaborate with business stakeholders to build master data workflow frameworks and governance rules that enable robust, scalable data quality processes. - Develop and execute complex testing scenarios across system, integration, and user acceptance phases, and support release management activities following required approvals. - Participate in standard data modeling, translate data requirements into effective use diagrams, and analyze existing databases through reverse engineering. - Develop and maintain documentation related to MDM processes and data mappings. - Act as a liaison to domain data owners to establish necessary data stewardship responsibilities and procedures. - Build and maintain existing enterprise data governance policies and procedures in collaboration with domain owners. - Develop tools and processes to improve data quality, accuracy, and consistency across the organization. - Track and report adherence to key MDM and data governance metrics/SLAs. - Perform data integrity gap analysis, identifying areas where application controls are insufficient. - Assist with the maintenance of complex golden records across domains. - Learn business processes and partner with business process owners/SMEs, IT, and data stewardship teams. - Communicate analytical findings through reports, briefings, and presentations. - Apply knowledge of data governance, workflows, and procedures in determining the most effective and actionable data analysis within the project planning frameworks. - Facilitate discussions with business users to understand and translate complex business requirements into master data management solutions aligned to business goals that deliver measurable value to the organization. Qualifications - Bachelor's degree from an accredited college/university. - 4+ years relevant work experience. - MDM Methodologies and Tooling (SAP MDG). - Data Governance and Data Quality experience. - SQL skills. - Experience with Informatica MDM and/or Enterworks is a nice to have. Requirements - Evaluates and analyzes different types of information objectively to identify appropriate solutions. - Communicates with clarity and precision, presenting complex information in a concise format that is appropriate for the audience. - Takes a positive approach to tackling work and embraces change. - Understands and anticipates customer needs and takes action to provide high-quality products and services to exceed expectations. - Demonstrates working knowledge of market, economic, legal, and regulatory environments and how they impact the business. - Understands how agility is leveraged in IT ways of working. - Takes initiative and identifies what needs to be done and acts without waiting to be asked. Benefits - Medical, dental, vision, and disability insurance plans. - 401(k) retirement savings plan. - PTO (including paid sick time). - 8 paid holidays per year (for salaried and hourly team members). Company Description Builders FirstSource is America’s largest supplier of building materials, value-added components, and building services to the professional market. We are committed to creating a diverse and inclusive workplace that welcomes candidates from all backgrounds and experience levels.

• Requirements Gathering and Documentation: Translate business needs into functional requirements for data projects, focusing on mapping business metrics and customer master data integrity rules. • Master Data Cleansing Strategy: Diagnose the current state of databases (data cleaning) and propose conceptual solutions to improve record quality without relying on pre-existing tools at the bank. • Bureau Mapping: Identify and evaluate external databases and market bureaus for procurement, aiming to enrich and validate customer/master data. • Bridge between Business and IT: Collaborate with stakeholders and developers to ensure technical solutions accurately reflect business rules and established governance standards. • Modeling and Governance: Create and maintain conceptual and logical data models, ensuring documentation of metrics and quality processes remains up to date. • Validation and Quality: Test and validate implemented solutions to ensure metrics are accurate and that data cleansing processes operate as intended. • Governance Gatekeeper: Act as a facilitator with the Data Governance area, applying necessary standards to ensure speed and compliance in projects.

Role Description CPAP.com is looking for an Analyst & CRO Specialist to serve as our core data analyst—the primary owner of reporting, analytics, and data infrastructure across the business, with conversion rate optimization as a key focus area. You'll be the go-to person for "what does the data say," building the dashboards and pipelines the whole company relies on, while also running the CRO testing program end to end. This is a hands-on, data-first role for someone who's equally comfortable modeling data in BigQuery, building a dashboard a non-technical stakeholder can read at a glance, and presenting a test readout to leadership. Qualifications - 4+ years in a data analyst, analytics, or BI role, ideally with e-commerce exposure - Strong SQL skills and real experience with data pipelines and data modeling - Direct experience with Google BigQuery - Comfort owning reporting infrastructure end to end — not just pulling numbers, but deciding how they should be structured and presented - Experience using AI tools (Claude, ChatGPT, MCP-based workflows) to accelerate analysis and reporting a plus - Experience with A/B testing platforms (Intelligems and/or Shoplift) - Experience with Shopify strongly preferred - Ability to write a clear test hypothesis and know when a result is actually significant - Excellent written and verbal communication — you'll be presenting findings to non-technical stakeholders across the company Requirements - Own the CRO testing roadmap: identify opportunities, prioritize by impact, and run A/B and multivariate tests end to end - Analyze site funnel, checkout, and PDP performance to find friction points and drop-off - Partner with dev and design teams to scope, build, and QA test variants - Report on test results with clear recommendations — win, lose, or inconclusive - Maintain a testing log and knowledge base so learnings compound over time Nice to Have - Experience with SourceMedium or similar attribution/reporting platforms - Experience with PostHog or similar product analytics tools - Experience in DTC health, wellness, or medical device e-commerce - Familiarity with subscription or bundle purchase flows - Basic HTML/CSS for reviewing or lightly editing test variants

Role Description We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI’s Closed-Loop Design Program — an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle. This role sits at the intersection of: - Data Engineering - Applied AI & Analytics - Supply Chain Automation - Solution Design You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development. This is an exciting opportunity for someone who enjoys building systems from the ground up, solving complex operational problems, and influencing how advanced automation solutions are designed and delivered. What You’ll Deliver: High-Impact Use Cases - RFP & Specification Intelligence: Extract requirements, generate compliance matrices, and identify clarifying questions automatically. - Cost & ROI Scenario Modeling: Support data-driven decision-making through option comparisons and sensitivity analysis. - Proposal “Fact Pack” Automation: Create scalable executive summaries and SOW-ready proposal content from governed datasets. - Design & Operational Analytics: Analyze throughput, staffing models, slotting strategies, and replenishment impacts. - Benchmark-Driven Solution Guidance: Leverage historical project data and comparable implementations to guide future designs. What You’ll Do - Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables. - Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control. - Develop applied analytics solutions including: - Forecasting - Scenario modeling - Optimization (LP/MILP or practical heuristics) - Similarity modeling and benchmarking - Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions. - Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy. - Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale. What Success Looks Like - Accelerate proposal development with intelligent, governed “first draft” solution packs. - Improve confidence and accuracy in complex automation pursuits. - Build scalable benchmarking capabilities that improve operational estimates over time. - Create data products that directly influence automation strategy and customer outcomes. Qualifications - 4+ years of experience in: - Data Science - Analytics Engineering - Applied Machine Learning - Strong SQL skills including: - Data modeling - Query optimization - Governance-ready dataset development - Hands-on experience with Databricks (Delta Lake, notebooks, jobs, SQL Warehouses) or similar enterprise data platforms. - Strong Python experience preferred for: - Data preparation - Modeling - Workflow automation - Ability to communicate assumptions, risks, and analytical outcomes clearly to technical and non-technical stakeholders. Preferred Qualifications - Experience in warehouse automation or intralogistics environments: - AMRs - AutoStore - Shuttle systems - Sortation - WES/WCS platforms - Experience with: - Forecasting - Optimization - Simulation / Digital Twin technologies - Decision-support analytics - Familiarity with document parsing and extraction workflows for RFP/specification processing. - Tableau experience including: - Curated dataset publishing - Dashboard performance optimization Benefits - Medical Insurance - Dental Insurance - Vision Insurance - Health Care Concierge Service - 401(k) Retirement Plan (Pre-tax & Roth) - Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability - Voluntary Life & AD&D Insurance - Voluntary Accident, Critical Illness & Hospital Indemnity Insurance - Pet Insurance - Milk Stork Program - Wellness Program with gift card redemption and wellness challenges - Paid Time Off (Vacation, Sick & 10 Holidays) - Training & Development