Ceic Data Jobs in Usa
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For over 95 years, we have cared for our employees and customers, which is why we rank as the 19th largest privately-owned builder in the country and have a history of long-tenured employees.
We are proud to be named a U.S.
Best Managed Company in 2022, 2023, 2024, and 2025, a program sponsored by Deloitte Private and The Wall Street Journal, and to be officially certified as a Great Place to Work for the last three years.
Enrich your career at a company that values integrity, excellence, opportunity, stability, and success.
?? Headquartered in Fort Mitchell, Kentucky, Drees operates in twelve metropolitan areas: Greater Cincinnati (including Northern Kentucky), Cleveland, and Columbus, Ohio; Austin, Dallas, Houston, and San Antonio, Texas; Indianapolis, Indiana; Jacksonville, Florida; Nashville, Tennessee; Raleigh, North Carolina; and Washington, D.C.
Responsibilities Drees Homes is seeking a detail-oriented and analytical Business Analyst
- Data & Analytics to become a valued member of our team.
This role is ideal for someone passionate about transforming data into actionable insights that drive strategic decisions.
The ideal candidate will have strong technical skills in SQL, Power BI, and ETL processes, along with the ability to communicate findings clearly and collaborate across departments.
You will play a key role in shaping data-driven strategies by developing reports, dashboards, and documentation that support business goals.
?? Key Responsibilities: Data Analysis: Analyze complex datasets to uncover trends, patterns, and actionable insights.
SQL Development: Write and optimize SQL queries to extract, transform, and manipulate data from various databases.
Power BI Reporting: Design, develop, and maintain interactive dashboards and visual reports using Power BI.
Report Requirements Gathering: Collaborate with stakeholders to gather and document detailed reporting requirements.
ETL Processes: Design, implement, and manage ETL workflows to ensure data accuracy, consistency, and availability.
API Connections: Integrate and manage data from external systems using API connections to enhance data accessibility and automation.
Documentation: Create and maintain comprehensive documentation for data processes, methodologies, and analytical findings.
Cross-functional Collaboration: Work closely with business units to understand data needs and provide analytical support.
Ad-hoc and Scheduled Reporting: Generate regular and on-demand reports to support business decision-making.
Required Skills: Bachelor???s degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience as a Data Analyst or in a similar analytical role.
Proficiency in SQL and Power BI.
Strong understanding of ETL processes and data warehousing concepts.
Knowledgeable in database systems including Oracle, AWS, and Azure.
Excellent analytical, problem-solving, and documentation skills.
Strong communication skills and the ability to work collaboratively in a team environment.
MUST be eligible to work in the US without sponsorship.
?? Premier Benefits to Support YOU -?? We offer a comprehensive benefits package, including: Medical, dental and vision Life, AD&D, and critical illness insurance Wellness rewards 401(k) savings plan Profit Sharing Paid time off increasing with tenure Tuition reimbursement Long and short disability and Parental leave Employee discount program on the purchase of a Drees Home Employee Assistance Program and much more! ?? Join a special team that works together to make Drees a successful company and a rewarding place to work! ?? ?? ?? Qualifications Equal Opportunity Employer / Drug-Free Work Place ?? To learn more about Drees Homes, please visit our website
- PI283053773
This is a 03 months contract opportunity with long-term potential and is located in U.S(Remote).
Please review the job description below and contact me ASAP if you are interested.
Job ID:26-08963 Pay Range: $22
- $23/hour.
Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities: Submit a minimum of 8 submission per 8-hour shift.
This can change as we are going to process changes.
Review request, research, and submit changes per regulation/business rules.
The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.
A typical data entry specialist is responsible for accurate information documentation and personal project management.
Read source documents such as practitioner profiles, emails, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.
Compile, sort and verify the accuracy of data before it is entered.
Locate and correct data entry errors or report them to supervisors.
Compare data with source documents, or re-enter data in verification format to detect errors.
Maintain logs of activities and completed work.
Key Requirements and Technology Experience: Key Skills;Technical skills include documentation skills and time management.
Health plan experience, data entry experience, Previous experience with computer applications, such as Microsoft Word and Excel.
3-5 years of data entry experience is required.
A High School Diploma or GED is required.
Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions.
If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc.
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Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas.
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones.
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will.
Requirements- Must have a valid Driver Licence;
- Good driving skills and clean driving record;
- General car knowledge would be a plus;
- Enjoys driving, within standard business hours;
- Available for a minimum of 3 months;
- Must have private monitored parking space for corporate vehicle;
- Great communication and reporting skills;
- Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
- High level of responsibility;
- Self-motivated and detail oriented;
- Must be able to successfully pass a background check (criminal and driving record).
Job: Data-MDM Architect (Profisee) with BA/PM experience
Location: Waukesha/Milwaukee, Wisconsin
Mode: Work from office, at least 3 days in a week
Primary Purpose
- Responsible for designing and architecting data/MDM solutions, analyzing, implementing, and deploying these solutions both on-premises and in the cloud. By collaborating with diverse business teams and utilizing extensive knowledge of big data tools and products, creates scalable, flexible, and comprehensive data solutions that tackle complex business challenges.
Major Responsibilities
- Manage the technical delivery of medium to large, moderately complex projects on-time with targeted zero defects.
- Provide planning, estimation, scheduling, prioritization and coordination of technical activities related to Enterprise-wide data solutions on both cloud and on premises.
- Ensure solutions alignment to Enterprise Architecture policies and best practices; ensure that process methodologies are followed in development.
- Accountable to business and technology management for end-to-end application scoping, planning, development and delivery that meets and exceeds quality standards.
- Identify and manage dependencies and downstream impacts of the project to minimize adverse effects on other projects and / or programs.
- Assist Project manager with the estimation of technical timelines and allocation of the technical resources to specific task.
- Communicate Expectations, Roles and Responsibilities to team members and hold them accountable to meet the expectations.
- Collaborate with IT partners to devise capacity plan and ensure appropriate infrastructure for the end-to-end system delivery.
- Supervise contingent workers and their daily tasks including onshore and offshore staff.
- Identify valuable data sources and automate collection processes.
- Maintain data accuracy and timeliness, a critical highly visible aspect of the position as it impacts supply chain and sales effectiveness, financial performance of the business, and customer perception through on-time delivery, working capital, financial reporting accuracy and product quality.
- Architect and design master data to drive towards “Single source of the truth”.
- Regularly monitor and measure performance of MDM standards.
- Performs problem and trend analyses to identify and correct problems and increase data quality.
- Review / Approve execution of data changes.
- Track and report through the CAB review board.
- Develop SLA’s and ensure they are met.
- Drive data mapping workshops for migrations.
- Coordinate and participate in the ETL (extract, transform, load) process for any migrations.
- Plan and architect M&A initiatives and integrations
AI Data & Python Tools Engineer
We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.
Responsibilities:
- Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
- Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
- Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
- Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
- Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle
Software Engineering & AI/ML Data, Tools Development
- 3+ years of Python Development with a background in back end services and data processing
- Exposure to AI/ML algorithms
- Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of LLMs, vector databases, and retrieval systems
- Experience with Model Context Protocol (MCP) integration and server development
Big Data & Cloud Infrastructure
- Knowledge of building and deploying cloud based applications
- Hands-on experience with cloud data platforms (AWS/GCP/Azure)
- Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
- Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
- Knowledge of containerization (Docker/Kubernetes) and infrastructure as code
*Preferred Experience
- Experience building web applications with modern frameworks (React, Vue, or Angular)
- API development and integration experience
- Basic UX/UI design sensibilities for internal tooling
- Experience with real-time data processing and analytics
- Background in building developer tools or internal platforms
- Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
- Experience building MCP servers and integrating with AI assistants
- Knowledge of structured data exchange protocols and API design for AI systems.
Type: Full Time
Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)
*Relocation assistance can be offered based on individual needs and circumstances*
Resource 1 is in need of a Sr. Data Architect/ Modeler for a long-term contract in downtown Chicago. Our client requires 2 days/week onsite (Tues/Wed or Tues/Thurs), so candidates must be local.
The consultant will join a Dynamics 365 implementation project to lead data migration, Dataverse/ CDM data modeling, and analytics enablement for various business units. They will design and validate data models and guide migration/testing efforts.
Responsibilities:
- Lead data migration strategy and roadmap for the Dynamics 365 implementation.
- Design, document, and validate Dataverse/ CDM data models and entity relationships for D365 use cases.
- Own CDM‑centric data design: map legacy/ source systems to Dynamics 365 CE & F&O CDM entities, identify gaps, propose extensions, and document modeling decisions.
- Establish best practices for CDM usage, lineage, versioning, and review gates.
- Assess downstream impacts of model and migration changes and define additional data capture or retention needs.
- Guide and review ETL/pipeline implementation with data engineering team using Synapse/ ADF/ Fabric and ADLS Gen2.
- Participate in the gathering of reporting and operational requirements and translating them into data model and migration specifications.
Required Skills & Experience:
- Experience with Common Data Model (CDM) and Dynamics 365 (CE and/or F&O) data.
- Prior experience working on a Dynamics 365 migration project.
- Experience with Dataverse/ CDM data modeling.
- Familiarity with Microsoft data stack including Synapse, ADF, Fabric and ADLS Gen2.
- Ability to develop and execute test plans, validate migrations, and identify downstream reporting impacts.
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).
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Role: Data & Analytics Technical Program Manager (TPM)
LOCATION: PHOENIX, AZ (HYBRID)
Full-Time/Direct Hire
Overview
We are looking for a Data & Analytics TPM to lead delivery of enterprise data initiatives and help
scale the company’s analytics platform. This role will coordinate data engineering, analytics, and
business teams to deliver high-impact data products and insights.
Ideally we need someone who is comes from a core hands-on technical Data & Analytics background and transitioned in to Program Management.
Responsibilities
- Lead delivery of data platform and analytics programs.
- Manage initiatives across Snowflake, data pipelines, and BI analytics.
- Coordinate data engineering, analytics, and business stakeholders.
- Track roadmap, milestones, and execution for data initiatives.
- Drive adoption of dashboards, data products, and analytics capabilities.
Qualifications
- 5–8+ years in Technical Program Management or Data/Analytics programs
- Must have experience Technical experience in Snowflake, ETL, BI Analytics, AWS Cloud.
- Experience with modern data platforms (Snowflake, ETL pipelines, cloud)
- Strong stakeholder and program management skills
- Experience working with data engineering and analytics teams
Data Analytics Internship
Los Angeles, CA, USA (Hybrid role)
Part-Time, $17.87/hr, Mid-April 2026 to Mid-August 2026.
DailyLook, a subsidiary of Victoria’s Secret & Co. (NYSE: VSCO) since being acquired in December 2022, is seeking a Data Analytics Intern. This internship offers the opportunity to work across 2 key teams at Dailylook: Demand Planning and Data Growth. The intern will be at the core of the business, leveraging data and analytics to support strategic initiatives and help drive data-informed improvements across operations, inventory planning, and growth initiatives. This is a great chance to gain hands-on experience working with real business data while contributing to impactful decisions!
Qualifications for the Position
- A degree in (or a junior, senior or graduate student pursing a degree in): data science, statistics, computer science, economics (quantitative track), applied analytics, mathematics or business analytics.
- GPA 3.3+ preferred
- Coursework or experience in: Statisical analysis, data analytics, machine learning.
- Experience with database systems, SQL and Python
- Familiarity with BI tools such as Looker or Tableau.
- Exemplary interpersonal communication skills both verbal and written
- Highly motivated, collaborative
- Experience in a Startup or Retail industry is an extra plus!
- An intellectually curious team player with a no-compromises approach to work quality, attention to detail, organization, and the ability to manage multiple priorities and projects in a fast-paced environment
- Self-motivated, detail-oriented, hands-on go-getter with the ability to build and suggest overhaul processes where needed, take initiative, work independently and proactively, multi-task, and remain flexible with changing priorities
- “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
- Demonstrated ability to communicate and collaborate effectively across global teams by adapting to diverse cultural norms, respecting time zone differences, and leveraging digital collaboration tools to maintain alignment and productivity
- Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments
- Ability and willingness to work on-site at our office in Downtown LA at least once a week.
Responsibilities
- Reports to the Planning Team.
- Maintain and migrate existing demand planning and inventory reports to the current BI tool.
- Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics
- Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow)
- Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking
- Conduct assortment and scenario analysis to support predictive demand planning
- Analyze inventory health, sell-through trends, and replenishment opportunities
- Identify optimization opportunities within the current planning workflow and BI infrastructure
- Document demand planning processes and support improvements to internal planning tools.
- Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.
- Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance
- Assist with dashboard updates, reporting, and basic data checks to ensure data quality
- Help monitor A/B tests and experiments for CRM campaigns and website initiatives
- Conduct ad-hoc analyses to provide insights and recommendations for the team
- Document data workflows & the new data infrastructure.
Compensation & Benefits
The pay for this position is $17.87 an hour. This is a non-exempt, part-time position.
DailyLook is proud to provide equal opportunity to all employees and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law.
By applying for this position, the applicant authorizes DailyLook to check all references list on your application and/or resume.
Purpose
As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.
This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.
You’ll Be Successful With
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
- 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
- Proven track record of moving models from development into production which deliver measurable impact to the business.
- Expert proficiency in Python and SQL. Comfortable with version control.
- Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
- Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
- Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
- You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
- The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
- Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
- Strong intellectual curiosity with a bias toward action and continuous improvement.
- Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.
Your Day Consists Of
- Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
- Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
- Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
- Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
- Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
- Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
- Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
- Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
- Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
- Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
- Be compliant with all appropriate privacy and security protocols.
Working Conditions (travel, hours, environment)
- Limited travel required including air and car travel
- While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.
Physical/Sensory Requirements
Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.
Benefits & Rewards
- Bonus opportunities at every level
- Non-traditional retail hours (we close at 7p!)
- Career advancement opportunities
- Relocation opportunities across the country
- 401k with discretionary company match
- Employee Stock Purchase Plan
- Referral Bonus Program
- 80 hrs. annualized paid vacation (full-time associates)
- 4 paid holidays per year (full-time hourly store associates only)
- 1 paid personal holiday of associate’s choice and Volunteer Time Off program
- Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)
Equal Employment Opportunity
Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.
This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.
