Data Driven Vs Theory Driven Jobs in Usa

SUMMARY/OBJECTIVE

The Retail Operations Analyst plays a critical role in advancing operational excellence across the global retail organization. This position is responsible for the development, governance, and continuous enhancement of retail reporting, compliance oversight, and advanced data analytics that drive informed decision-making and protect brand integrity.

Serving as a strategic partner to Retail Operations, IT, Merchandising, Planning, Finance, Brand Protection, and Store Leadership, this role delivers accurate, actionable insights and scalable reporting solutions that optimize performance, reinforce brand standards, and elevate the client experience.

This position requires the highest level of discretion and integrity in handling confidential business, client, and transactional data.

ESSENTIAL FUNCTIONS

Compliance & Risk Reporting

• Develop, maintain, and distribute comprehensive compliance reporting frameworks to ensure adherence to internal policies, operational procedures, and brand standards.
• Monitor key compliance indicators across global retail locations; proactively identify trends, risks, and operational gaps.
• Partner cross-functionally to support audits, internal reviews, and compliance investigations with accurate, well-documented reporting.
• Establish reporting controls and validation processes to ensure data accuracy, reliability, and audit readiness.
• Escalate material findings and risk indicators to appropriate leadership in a timely and professional manner.

Retail Performance Reporting & Analytics

• Design and manage reporting tools and dashboards that support store teams and retail leadership in daily operations and decision-making.
• Translate operational needs into clear, user-friendly reporting while ensuring data accuracy, scalability, and alignment with business priorities.
• Partner with retail teams to review business performance, provide insights, and share key findings with cross-functional partners as needed.
• Provide training, guidance, and ad hoc reporting to support evolving retail and leadership needs.

Investigative Reporting & Brand Protection Analytics

• Leverage transactional and client-level data to identify purchasing patterns indicative of reseller activity or behaviors inconsistent with brand standards.
• Analyze cross-store sales data and client purchase histories to detect trends, anomalies, and high-risk activity.
• Develop and maintain investigative dashboards and monitoring tools to proactively flag high-risk transactions.
• Translate investigative findings into clear, data-driven recommendations while partnering with Retail Operations and Brand Protection to support informed business decisions.
• Balance risk mitigation efforts with a commitment to maintaining a premium client experience.

Client Reporting Tools Management

• Manage and optimize client reporting platforms that support clienteling, retention strategies, and business planning.
• Ensure integrity, consistency, and accuracy of client data across systems and reporting environments.
• Collaborate with IT and business partners to enhance reporting functionality and improve data accessibility.
• Support merchandising, planning, and strategic initiatives by providing meaningful client insights and trend analysis.
• Maintain clear documentation of reporting logic, definitions, and governance standards.

Confidentiality & Data Protection

• Exercise the highest level of discretion when handling sensitive business information, including sales data, client information, investigative findings, and compliance-related materials.
• Ensure strict adherence to company confidentiality policies, data privacy regulations, and information security protocols.
• Limit access to sensitive data on a need-to-know basis and safeguard reporting outputs from unauthorized distribution.
• Maintain confidentiality during investigations and compliance reviews, protecting both client information and internal business intelligence.
• Immediately escalate potential data breaches or unauthorized disclosures in accordance with company policy.
• Serve as a steward of data integrity and ethical reporting practices across the retail organization.

QUALIFICATIONS

• 3–5 years of experience in retail operations, business analysis, or data analytics (luxury retail experience strongly preferred).
• Strong understanding of retail operations, store workflows, and reporting needs.
• Advanced Excel skills required (pivot tables, complex formulas, lookups, data validation, logical functions; Power Query or similar tools preferred).
• Demonstrated ability to analyze large data sets and identify meaningful business insights.
• Experience creating reporting frameworks and dashboards for non-technical audiences.
• Strong investigative mindset with excellent attention to detail.
• Industry awareness and strong business acumen; goal oriented with a sense of urgency and follow through
• Excellent interpersonal skills and the ability to communicate effective, both verbally and written, with all levels of management
• Exceptional organizational skills
• Problem-solving aptitude

BENEFITS

• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

ADDITIONAL INFORMATION

Chrome Hearts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The salary range for this role is:

75,000 - 80,000 USD per year (Hollywood, CA)

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.

Data Business Analyst (Primarily REMOTE)

Optomi, in partnership with a leading data-driven organization, is looking for a Data Business Analyst to join their team. The Data Business Analyst will support the data team by engaging in documentation, requirements gathering, and data analysis. The role involves working closely with business teams to document their needs, create technical requirements, and develop PowerBI dashboards. The analyst will collaborate with the Principal Data Engineer and PM/Scrum Master to ensure seamless communication and updates to business teams. Post-deployment, the analyst will gather feedback to ensure high user adoption.

What the right candidate will enjoy:

• Engaging in a collaborative, remote-friendly environment.
• Working with cutting-edge data platforms like Databricks on AWS.
• The opportunity to influence architectural decisions early in the project lifecycle.

What type of experience does the right candidate have:

• Proven experience in business analysis and customer service.
• Strong skills in documentation and requirements gathering.
• Experience with PowerBI and AWS services, especially Lambda.

What the responsibilities are of the right candidate:

• Gather and document business needs and technical requirements.
• Develop and enhance PowerBI dashboards, focusing on visual appeal and accuracy.
• Partner with data engineers and project managers to deliver updates and gather feedback from business teams.
• Conduct data analysis and QA testing to ensure dashboard quality and functionality.

Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes.

• Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.
• We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
• Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
• Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
• Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
• With Excella’s Annual Internet Reimbursement benefit, all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive, no matter where you work.
• We'll invest in your career by providing 3 days of paid professional development every year, including an allowance for registration fees to attend classes, conferences, or obtain professional certifications.
• We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.

Overview

We are looking for a Data Analyst to join our team and deliver valuable customer experiences. Our analysts are team-oriented, collaborative, and focus on delivering value in everything we do. We use agile methods to analyze, define and document business requirements for software solutions which align with organizational goals and help our clients achieve their desired outcomes. We support our clients in their digital product needs – from vision to roadmap to execution.

Responsibilities

• Develop thorough understanding of the business context and objectives by, among other things, eliciting and analyzing requirements from all relevant stakeholders (business users, data engineers, data scientists, and similar).
• Able to operationalize business questions using data.
• Demonstrate understanding of relational databases, data architecture, and data modeling.
• Capable of building complex SQL statements to answer business questions.
• Experience designing conceptual data models/ entity relationship diagrams/ business process models.
• Able to transform and cleanse data using tools such as R, SQL, or Python.
• Able to interpret, understand, and explain data to clients.
• Basic knowledge of dashboard management and creation (drag and drop) for storytelling of regular information reports and ad-hoc requests.
• Build trust and respect, establish relationships, and develop rapport with technical and non-technical team members.
• Experience documenting Data Analysis processes and outcomes.
• Industry or subject matter expertise (e.g., finance, employment, hospitality, web analytics).

Qualifications

• B.A. or B.S. (focus in Computer Information Systems, Business Management, Engineering, or related area of study is a plus)
• Ability to obtain and maintain a Top Secret (TS) clearance and a Public Trust clearance is required.
• 3+ years’ experience in IT or related industry
• Prior consulting or client management experience preferred
• Intermediate/Advanced SQL skills
• Experience working with Data Visualization tools such as Tableau or Power BI
• Preferred experience with cloud analytics products such as Google Cloud, AWS, or Microsoft Azure
• Preferred knowledge of statistics and experience using statistical packages for analyzing datasets
• Strong analytical aptitude and ability to structure complex or undefined business problems
• Strong verbal and written communication skills; able to report and present findings to varying stakeholders
• Hands-on experience using tools to help clients make data-driven decisions
• Knowledge and practice of core Agile values and principles a plus
• Initiative to learn new strategies and trends to continue to educate self analytically, technically, and technologically
• Intermediate experience with Microsoft Excel and Power Point
• Understanding of DevOps Research and Assessment (DORA) and the capabilities within the DORA capability catalog is encouraged

Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Excella is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact or 7

We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.

Keys to an Interview: Data Insights Analyst | CPG Manufacturing

• 2-5 years' Data Science and/or Business Analyst experience
• Master's Degree preferred
• Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
• Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
• Ability to interpret existing dashboards and datasets and identify meaningful insights
• Clear communication skills and comfort explaining technical findings to non-technical stakeholders
• Comfortable working on-site, with flexibility

Key Responsibilities: Data Insights Analyst | CPG Manufacturing

• Analyze large, complex datasets to identify trends, opportunities, and risks across the business
• Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
• Build and enhance analytical models to support forecasting, budgeting, and strategic planning
• Develop, maintain, and improve dashboards and reporting used by leadership
• Clean, transform, and validate data to ensure accuracy and consistency
• Partner cross-functionally to understand business questions and translate them into data-driven solutions
• Present findings clearly and concisely to senior stakeholders
• Support automation and process improvements to increase analytical efficiency
• Contribute to high-visibility initiatives that influence growth and long-term strategy

Covenant Technology Partners is a US based Microsoft Partner, management and technology consulting and Managed Services firm specializing in helping our clients through innovative use of Microsoft technologies. Our team members grow in an energetic, team-oriented and entrepreneurial-minded firm with challenging consulting projects and Managed Services engagements. Covenant attracts highly qualified and diverse professionals nationwide with the right combination of business, technical and creative skills. Our consultants are motivated to make a personal impact on both the growth and success of the firm and their personal careers.

The Data & Analytics / Microsoft 365 Intern is a full-time, 12-week summer internship beginning in May and is structured as a dual-track experience. The intern’s time will be intentionally divided between:

• Managed Services, supporting operational Microsoft environments
• Data & AI Consulting, contributing to data analytics and applied AI initiatives

The program is designed to provide exposure to the full solution lifecycle—from operational support to solution delivery—while developing professional consulting skills, technical fundamentals, and business acumen.

The role emphasizes professional consulting skills, technical fundamentals, documentation, and continuous learning aligned with Covenant Technology Partners’ standards.

The work location for this role is flexible, but candidates based in St. Louis or near St. Louis may be better positioned for periodic in-person engagement.

Responsibilities:

Managed Services Rotation (Operational Experience)

• Assist with ticket triage and support workflows under supervision
• Support Microsoft 365 administration and governance activities (Teams, SharePoint, OneDrive, Exchange, Entra ID)
• Update runbooks and standard operating procedures
• Observe and document SLA, escalation, and operational processes
• Contribute to process improvement initiatives

Data & AI Consulting Rotation (Solution Delivery Experience)

• Assist with data preparation, basic data modeling, and reporting tasks
• Support Power BI, automation, or analytics solution development
• Contribute to applied AI or proof-of-concept initiatives under guidance
• Develop professional documentation including solution notes, diagrams, and handoff materials

Professional Development

• Engage in structured AI and Microsoft learning (2–3 hours per week)
• Participate in mentor and manager check-ins
• Attend internal enablement sessions and practice meetings
• Deliver a final capstone presentation summarizing contributions, learning outcomes, and improvement recommendations

Qualifications:

Education, License or Certification:

• Currently pursuing a Bachelor’s or a Master’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics or related field

Experience:

• Foundational understanding of data concepts (tables, joins, relational structures)
• Exposure to SQL, reporting tools (e.g., Power BI), Microsoft 365, or Azure is a plus
• Strong written and verbal communication skills
• Demonstrated interest in both technology operations and data-driven solution delivery

We foster diversity, in part, by imposing a strict policy of non-discrimination. Employment decisions are made without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, age, religion, disability, veteran or military status, genetic information or other status protected by the law.

We value the unique skills and experiences that veterans and separated service members bring to our workforce. While serving our country you have gained skills such as leadership, flexibility, and agility, which will help to make you successful here. We are dedicated to supporting military families and ensuring that we provide a welcoming environment for our country’s heroes. We hope you consider joining the Covenant family.

Covenant is committed to the full inclusion of all qualified individuals. As part of this commitment, Covenant will ensure that persons with disabilities are provided reasonable accommodation. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact

Our client, Japanese Electronics manufacturing company, is seeking a Data Analyst in the Schaumburg area with 2+ years of experience.

Title: Data Analyst

Location: Schaumburg IL (Hybrid 3 days on site)

Type: Full Time Direct Hire

Salary: 55-60K

Key Responsibilities

• Develop and analyze eight-month sales forecasts; perform variance and gap analysis against actuals and plans.
• Monitor daily sales/order performance and deliver regular status and management reports.
• Identify data discrepancies and partner with sales to resolve issues and improve accuracy.
• Support short- and long-term sales planning through data-driven insights and risk analysis.
• Manage ERP (SAP/OASIS) master data and provide system support, enhancements, and user training.
• Support audit requirements and conduct market research and ad hoc analysis as needed.

Qualifications

• Strong verbal and written communication skills.
• Japanese language skill preferred.
• Professional collaborator with ability to support senior management.
• Detail-oriented and able to manage multiple deadlines with accuracy.
• Proficient in Excel, Power BI, Outlook, Word, PowerPoint, and SharePoint; skilled in database mining and large data analysis.
• Bachelor’s degree (or equivalent) with 2+ years of relevant experience.

**Please submit your application with a 1-2 page resume. Only qualified applicants will be contacted**

The Operations Data Analyst will play a crucial role in applying data analysis and reporting to support operational performance, production scheduling, and process improvements. This position will work closely with operations teams to assist in scheduling tasks as needed, while also owning analytics processes, reporting, and data-driven insights that improve productivity, quality, and throughput.

***This is 100% on-site, full-time position in Madison, IN. Hybrid or remote work is NOT available.

Qualifications

Technical Skills

• Strong SQL skills: ability to write complex queries, join large datasets, optimize performance, and produce reliable analytical outputs.
• Advanced Excel expertise: pivot tables, VLOOKUP/XLOOKUP, Power Query, macros/VBA a strong plus.
• Experience with data visualization tools (Power BI, Tableau, or similar) preferred.
• Comfortable working with large datasets and generating meaningful insights.

Production Experience

• Understanding of production planning, operations workflows, and scheduling concepts — ideally in a manufacturing/industrial environment.
• Prior work in supporting production operations with analytical tools or capacity planning.

Education

• Bachelor’s Degree preferred — Analytics, Industrial Engineering, Supply Chain, Data Science, Business Analytics, Mathematics, or related field.
• Equivalent experience with strong technical skills considered.

Preferred Qualifications

• Experience with manufacturing ERP/MRP systems.
• SQL Server, MySQL, PostgreSQL, or similar database experience.
• Familiarity with scheduling tools or production modules within ERP systems.
• Knowledge of Lean Manufacturing or Continuous Improvement methodologies.

***FOR IMMEDIATE CONSIDERATION, PLEASE SEND A COPY OF YOUR UPDATED RESUME.