Ceic Data Jobs in Usa

Role - Lead Data Analyst

Location : Denver, CO [Local Only] In-person client interview

Job Summary

This role is responsible for extracting meaningful information and providing the business with actionable recommendations to drive outcomes. Responsible for leveraging existing data sources and creating new analysis methods.

Major Duties And Responsibilities

• Actively and consistently supports all efforts to simplify and enhance the customer experience.
• Lead client teams to define clear business requirements for data analysis projects.
• Provide metrics definition, data visualizations, and ETL requirements.
• Extract, clean and engineer data to be ready for analysis.
• Interpret data, formulate hypotheses and develop an analytical approach to meet business requirements
• Create customer-readable reports using advanced visualization tools such as Tableau, PowerBI, Excel, etc.
• Work to obtain and ingest new reference data sources required to deliver on business need.
• Communicate results and make recommendations using data visualization and presentations.
• Create analyses and dashboards that are usable, elegant and industry leading.

Required Qualifications

• Ability to read, write, speak and understand English
• Demonstrated in-depth ability to analyze, interpret and present data
• Demonstrated in-depth ability to make decisions and solve problems while working under pressure
• Demonstrated in-depth ability to prioritize and organize effectively
• Demonstrated mastery of advanced analytics processes and reporting design principles
• Demonstrated mastery in SQL, Python, or R
• Demonstrated in-depth proficiency of design and implementation practices within data visualization tools
• Effective communication skills, verbal and written, for internal and external customers
• Ability to communicate complex technical concepts to all levels of an organization to aid in decision-making

Required Education

• Bachelor's degree in Computer Science, Engineering or related field; or equivalent experience

Required Related Work Experience and Number of Years

• 7+ years’ experience working within a data platform/data analysis environment
• 7+ years’ experience in a customer facing products/services environment
• Technical Lead, exp in more industries, more expert than Data Insight Analysts

Title: Data Center Technician

Location : Macungie, Pennsylvania, United States

Contract : 1 year with Extension

Job Description:

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

Key Responsibilities:

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

Required Skills:

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

Qualifications:

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

Preferred Skills:

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

Support Center - Irving

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

Major Activities

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

Data Analytics

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

Business Insights & Cross Functional Partnerships

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

Staff Management & Development

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

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

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

Minimum Special Certifications or technical skills

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

Minimum Type of experience the job requires

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

Other

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

Preferred Education

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

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

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

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

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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.

OB OVERVIEW:

Start Your Career in Tech Construction. Are you ready to put your hands-on skills to work in one of the fastest-growing industries? Join a growing technology company as a Field Technician and help build and maintain the systems that power modern data centers. No prior data center experience required — we provide full training and support.

This is a great opportunity for anyone with construction, fabrication, or trade experience (or just a strong work ethic and willingness to learn) to launch a stable career with growth potential.

What You’ll Do as a Field Technician – Entry-Level (Construction / Data Centers)

• Install, assemble, and modify containment systems that improve cooling efficiency in data centers
• Perform specialized cleaning and decontamination of equipment and areas to keep facilities running at peak performance
• Assist with deliveries, organize materials, and maintain tools and equipment
• Follow direction from supervisors to complete tasks safely, accurately, and on time
• Identify and report potential risks, always prioritizing safety
• Represent the company professionally with clients and team members

What We’re Looking For in a Field Technician – Entry-Level (Construction / Data Centers)

• 0–2 years of construction, technician, or trade experience (data center experience is a plus)
• U.S. citizenship or naturalized citizen, 18+ years old
• Reliable transportation to job sites
• Able to pass a background check and drug screen
• Comfortable working at heights, around noise, and in temperatures from 0–100°F+
• Physically able to lift 50 lbs and stay on your feet most of the day
• Positive attitude, strong work ethic, and good communication skills

Schedule & Pay for Field Technician – Entry-Level (Construction / Data Centers)

• Monday–Friday, 6:00 AM to 3:00 PM (overtime available)
• Full-time, on-site role
• Competitive hourly pay with overtime opportunities
• Full training, safety gear (PPE), and on-the-job mentorship provided

Why Join Us?

• Be part of the growing data center industry
• Gain hands-on technical skills with full training
• Work with a supportive team in a professional environment
• Build a career with opportunities for advancement

Apply today and start your career in data center construction with a growing technology company!

Job Description

Must Have Technical/Functional Skills

• Extensive experience with cloud platforms (AWS, Azure, GCP) and hybrid environments.

• Deep knowledge of data center technologies, including networking, storage, virtualization, and server infrastructure.

• Hands-on experience with automation tools, orchestration, and monitoring solutions.

• Strong understanding of security, compliance, and disaster recovery frameworks.

• Deep knowledge of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and hybrid cloud architectures.

• Strong understanding of data center technologies: networking, storage, virtualization, compute, and server infrastructure.

• Hands-on experience with cloud migration, integration, and hybrid cloud strategies.

• Expertise in disaster recovery, high availability, and business continuity planning.

• Proven experience in leading technical teams and mentoring engineers.

• Ability to define, implement, and execute infrastructure strategies aligned with business goals.

• Capability to influence and guide senior stakeholders on technical decisions.

• Experience managing large-scale data center operations and cloud infrastructure.

• Knowledge of ITIL, operational best practices, and incident/problem management.

• Awareness of compliance, regulatory, and security standards (ISO, SOC, GDPR).

• Excellent verbal and written communication skills to interact with technical and non-technical stakeholders.

• Strong collaboration skills for working with cross-functional teams including architects, project managers, and vendors.

Good to Have

• Experience with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation).

• Scripting skills in Python, PowerShell, or Bash for automating operational tasks.

• Exposure to AI/ML workloads in cloud environments.

• Familiarity with edge computing or hyperconverged infrastructure solutions.

• Experience in managing large-scale infrastructure projects, including budgeting and resource planning.

• Knowledge of Agile/DevOps methodologies applied to infrastructure teams.

Roles & Responsibilities

• Highly experienced professional with over 10 years in leadership roles, specializing as a Subject Matter Expert (SME) in Cloud and Data Centre technologies. The role is responsible for defining and overseeing cloud infrastructure strategies,

managing data center operations, and providing expert technical guidance to ensure optimized, scalable, and secure solutions. This individual will act as the technical authority, driving innovation, operational excellence, and strategic alignment across cloud and data center initiatives.

• Define and implement cloud and data center strategies aligned with organizational goals.

• Drive innovation in infrastructure design, deployment, and operational efficiency.

• Evaluate emerging cloud technologies and recommend adoption strategies.

• Serve as the Subject Matter Expert for cloud platforms (AWS, Azure, GCP, or private cloud) and on-premises data center technologies

• Provide technical guidance to teams on architecture, deployment, and operational best practices.

• Lead complex troubleshooting, performance tuning, and capacity planning initiatives.

• Oversee day-to-day operations of data centers, including monitoring, maintenance, and incident management.

• Ensure high availability, disaster recovery, and business continuity plans are robust and tested..

• Manage vendor relationships and service contracts for critical infrastructure components.