senior analyst, seo (remote)

analyst, data analytics (all levels) Jobs in Atlanta

analyst, data analytics (all levels)

data science manager - space planning intelligence Jobs in Atlanta

data scientist, online

entry level data scientist - collections analytics Jobs in Atlanta

data scientist online

The Home Depot

<div>
 Req167506
 
 
 
 Position Purpose
 
 
 
 The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
 
 As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
 </li>
 <li>
 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
 </li>
 <li>
 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
 </li>
 <li>
 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically reports to Manager or above
 </li>
 <li>
 This position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
 </li>
 <li>
 4+ years of experience in business intelligence and analytics
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Experience in a modern scripting language (preferably Python)
 </li>
 <li>
 Proficient running queries against data (preferably with Google BigQuery or SQL)
 </li>
 <li>
 Proficient with data visualization software (preferably Tableau)
 </li>
 <li>
 Proficient utilizing statistical techniques to identify key insights that help solve business problems
 </li>
 <li>
 Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
 </li>
 <li>
 Demonstrated experience in predictive modeling, data mining and data analysis
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 3
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 No additional years of experience
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
 </li>
 <li>
 Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
 </li>
 <li>
 Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
 </li>
 <li>
 Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
 </li>
 <li>
 Customer Focus: Building strong customer relationships and delivering customer-centric solutions
 </li>
 <li>
 Drives Results: Consistently achieving results, even under tough circumstances
 </li>
 <li>
 Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
 </li>
 <li>
 Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
 </li>
 <li>
 Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
 </li>
 <li>
 Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
 </li>
 </ul>
</div>

Data Scientist, Online

Sequium Asset Solutions

<div>Job title: Entry Level Data Scientist - Collections Analytics
Location: Atlanta, GA or Remote
Employment type: Full-time
Reports to: VP Strategic Initiatives
About us
Sequium Asset Solutions is the industry's most progressive and advanced debt collection servicer. Our mission is to provide uncompromising operational excellence by setting the highest standards in service and reliability through the application of our five core values: Leadership, Training, Talent Acquisition, Rewards and Technology. At Sequium, Tomorrow is Today.
We have an outstanding opportunity for an accomplished data scientist to join one of the most exciting and fastest growing companies in the industry. In this role you will report directly to the Vice President of Strategic Initiatives and support analytics and modeling projects across account segmentation, contact strategy optimization, and early-warning
detection. You will work with cross-functional teams (operations, compliance, IT) to turn data into actionable insights, build repeatable analytics, and productionize models. Our company has made huge investments in data science and generated an agentic AI. We are attempting to fully automate all decisioning processes to give us the highest statistical result and incremental value for all performance matrices.
The successful applicant must possess a high level of intelligence, motivation and enthusiasm in creating breakthrough value enhancements. This is a critical position within the organization for someone who is creative, self-starting and who wants to be in control of their own destiny.
Key responsibilities<ul><li>
Must have significant knowledge using enterprise AI software (Claude, Cursor and Python) with the ability to direct and prompt this software in order to create significant breakthroughs to enhance automated and real-time strategies.</li><li>
Build, validate, and maintain predictive models (e.g., credit/payment propensity, churn/risk, contact response) using Python/R and standard ML libraries.</li><li>
Clean, explore, and feature-engineer large-structured datasets from multiple sources (payments, contact history, credit bureau, CRM).</li><li>
Run A/B tests and propensity-matched experiments to evaluate contact strategies and messaging, measure lift and report results.</li><li>
Create dashboards, visualizations, and regular reports for operations and leadership (KPIs: recovery rates, promise-to-pay keep rates, contact conversion, roll rates).</li><li>
Assist in productionizing models: packaging, documentation, monitoring, and retraining schedules in collaboration with others.</li><li>
Implement and track model performance, fairness, and stability metrics; support model governance and compliance documentation.</li><li>
Support data pipelines and ETL tasks; partner with data engineering to ensure data quality and lineage.</li><li>
Translate business problems into analytical approaches; present findings and recommended actions to stakeholders.</li><li>
Stay current on best practices in supervised/unsupervised learning, causal inference, and responsible AI as applied to collections.</li></ul>
Required qualifications<ul><li>
Bachelor&rsquo;s degree (or equivalent) in Data Science, Statistics, Computer Science, Mathematics, Industrial Engineering, or related quantitative field; graduation within the last 2-3 years.</li><li>
Solid SQL skills for data extraction and manipulation.</li><li>
Strong programming skills in Python.</li><li>
Understanding of basic ML algorithms (logistic regression, decision trees, ensemble methods, clustering) and evaluation metrics (precision/recall, confusion matrix, calibration).</li><li>
Experience with data visualization tools (Power BI, Tableau or equivalent) or ability to produce clear visual analyses in Python/R.</li><li>
Hands-on experience with at least one machine learning project (class project, internship, capstone, or competition) with end-to-end work (data cleaning, modeling, evaluation).</li><li>
Strong analytical problem-solving, attention to detail, and ability to communicate technical results to non-technical stakeholders.</li><li>
Commitment to ethical data practices and regulatory compliance (willingness to learn collections/consumer protection rules).</li></ul>
Preferred (nice-to-have)<ul><li>
Internship or part-time experience in finance, collections, payments, credit risk, or customer analytics.</li><li>
Familiarity with time-series or survival analysis and propensity scoring.</li><li>
Experience with model monitoring frameworks, cloud platforms (AWS, GCP, Azure).</li><li>
Knowledge of compliance/regulatory frameworks relevant to collections (e.g., FDCPA basics).</li></ul>
Technical stack expectations<ul><li>
Data: SQL, relational databases</li><li>
Visualization: Power BI</li><li>
Languages: Python (R acceptable)</li><li>
ML: scikit-learn, XGBoost/LightGBM, basic knowledge of neural nets optional</li><li>
Workflow: Git, Jupyter notebooks, basic command line</li><li>
Cloud/Infrastructure: AWS/GCP/Azure; containerization (Docker), Kubernetes experience preferred</li></ul>
Success metrics (first 6&ndash;12 months)<ul><li>
Deliver at least one validated predictive model and support its production handoff</li><li>
Implement 2&ndash;3 dashboards or automated reports used by operations.</li><li>
Demonstrate measurable lift from an A/B test or strategy change driven by your analysis.</li><li>
Complete formal documentation for at least one model covering training data, features, performance, and monitoring plan.</li></ul>
Behavioral competencies<ul><li>
Curious, proactive learner who seeks feedback and owns development.</li><li>
Team player who collaborates with ops, IT, and compliance.</li><li>
Communicates clearly, distills complex analyses into actionable recommendations.</li><li>
Comfortable working in a regulated, data-sensitive environment.</li></ul>
Application process
Submit resume, transcript (unofficial acceptable), and a one-page project summary showing relevant work.</div>

Entry Level Data Scientist - Collections Analytics

<div>Position Purpose:
We are transforming how merchandising decisions are made through AI-powered solutions and automation. This Sr. Data Scientist plays a key role to build scalable, mathematical algorithms in production that directly impact retail and merchandising by solving complex, high-value business problems. The position focuses on science-driven models, operating at the intersection of data science, process automation, cloud deployment, and software production to deliver reliable decision systems that increase efficiency and improve customer experience.
This role leads Machine Learning initiatives end-to-end, from cross-functional collaboration and business problem framing through technical design, development, deployment, and ongoing monitoring and enhancement. The Sr. Data Scientist partners closely with product managers, software engineers, and business stakeholders to identify high-impact opportunities, translate into technical requirements, and deliver scalable solutions in production. The role is responsible for communicating insights and recommendations to both technical and non-technical audiences, mentoring data scientists on projects, and ensuring models perform effectively based on real-world outcomes. 
Key Responsibilities:<ul><li>
35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team</li><li>
20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s or PhD in Data Science, Statistics, Economics, Applied Math, Engineering, or other quantitative and engineering fields.</li><li>
6+ years of hands-on experience developing and deploying Machine Learning models into production environments and integrating into scalable data pipelines and decision systems (e.g., via APIs, microservices, or batch pipelines), ensuring reliability, scalability, traceability, and interoperability.</li><li>
Deep expertise in causal inference (e.g., Difference-in-Differences, Double ML, Synthetic Control) and discrete choice models, including elasticity, substitution and demand transfer.</li><li>
Solid foundation in machine learning models (e.g., regularized regression, tree-based methods such as XGBoost, and neural networks)</li><li>
Strong experience with forecasting models (e.g., time-series forecasting. ARIMA, Bayesian and probabilistic methods or deep learning-based approaches).</li><li>
Strong understanding of data structures, and modern cloud ecosystems (GCP, AWS, etc.).</li><li>
Proficient with data visualization software (preferably Tableau).</li><li>
Familiarity with GenAI, LLM and Agentic framework, with experience integrating LLM-based reasoning into ML-driven solutions.</li><li>
Comfortable collaborating with front-end developers or building light UI prototypes (e.g., Streamlit, React).</li><li>
Demonstrated strength in business communication and technical leadership, with the ability to clearly explain complex statistical and ML concepts to non-technical stakeholders in a way that builds trust and drives adoption.</li><li>
Experience solving retail or merchandising problems such as assortment &amp; space optimization, demand transfer, consumer choice models, demand forecasting.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Cultivates Innovation: Creating new and better ways for the organization to be successful</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Sr Data Scientist- Assortment and Space Planning (Core ML)

<div>Position Purpose:
The Sr. Analyst Online Merchandising - Promotional Strategy will be responsible for identifying ways to optimize promotional effectiveness within The Home Depot's online ecosystem. They will deliver value by supporting new, innovative, and strategic online selling concepts, site features, and functionalities. 
This individual will work with cross-functional team members to contribute to the discovery, planning and execution of these initiatives. The Sr. Analyst Online Merchandising - Promotional Strategy will be responsible for determining the prioritization of initiatives, performing business analysis and developing KPI reporting to ensure sales and profitability are in line with strategic and financial plans. The Sr. Analyst Online Merchandising - Promotional Strategy will also be responsible for understanding and communicating the impacts of these initiatives on other business areas. 
Key Responsibilities:<ul><li>
40% Conduct &amp; present analysis to inform project team and online merchants to drive intelligent expansion of strategic selling initiatives by conducting analysis, providing informed assessment of business case, &amp; executing strategies to achieve business objectives.</li><li>
30% Manage day to day operations for select selling concepts.</li><li>
20% Measure business performance via execution of key weekly and monthly reporting; seek out opportunities to continuously improve reporting efforts.</li><li>
10% Assist with business case development for expansion into new online merchandising concepts/ capabilities.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Sr. Manager, Promo &amp; Event Strategy.</li><li>
This position has 0 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Experience developing promotional strategies using data-driven insights to improve customer engagement and profitability.</li><li>
MBA or equivalent work experience in retail, merchandising, or a consulting/ project management role in a corporate environment, preferred.</li><li>
Demonstrated ability with business modeling capabilities using tools such as SQL, Excel, Access, and Tableau and advanced proficiency with other Microsoft Office programs.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Ability to understand business drivers and influence decision making with cross-functional partners</li><li>
Proven ability to analyze, evaluate, and interpret complex data; innate intellectual curiosity</li><li>
Track record of taking ownership and driving results; ability to learn quickly and independently</li><li>
Ability to work simultaneously across several work streams balancing quality of work and consistent delivery</li><li>
Strong communication and presentation skills</li><li>
High comfort level working in fast paced environment</li></ul></div>

Sr. Analyst Online Merchandising - Promotional Strategy

<div>Position Purpose:
The Sr Analyst, Online Merchandising Concepts will be responsible for driving the execution of and supporting operations for new, innovative, and strategic online selling concepts, site features, and functionalities.
This individual will work with cross-functional team members internal and external to The Home Depot to contribute to the discovery, planning and execution of these new online merchandising initiatives.
The Sr Analyst, Online Merchandising Concepts will be responsible for determining the prioritization of initiatives, performing business analysis and developing KPI reporting to ensure sales and profitability are in line with strategic and financial plans.
The Sr Analyst, Online Merchandising Concepts will also be responsible for understanding and communicating the impacts of these initiatives on other business areas. 
Key Responsibilities:<ul><li>
40% Conduct &amp; present analysis to inform project team and online merchants to drive intelligent expansion of strategic selling initiatives by conducting analysis, providing informed assessment of business case, &amp; executing strategies to achieve business objectives.</li><li>
30% Manage day to day operations for select selling concepts.</li><li>
20% Measure business performance via execution of key weekly and monthly reporting; seek out opportunities to continuously improve reporting efforts.</li><li>
10% Assist with business case development for expansion into new online merchandising concepts/ capabilities.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager, Online Merch Concepts.</li><li>
This position has 0 direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
MBA or equivalent work experience in retail, merchandising, or a consulting/ project management role in a corporate environment, preferred.</li><li>
Demonstrated ability with business modeling capabilities using tools such as SQL, Excel, Access, and Tableau and advanced proficiency with other Microsoft Office programs.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Ability to understand business drivers and influence decision making with cross-functional partners</li><li>
Proven ability to analyze, evaluate, and interpret complex data; innate intellectual curiosity</li><li>
Track record of taking ownership and driving results; ability to learn quickly and independently</li><li>
Ability to work simultaneously across several work streams balancing quality of work and consistent delivery</li><li>
Strong communication and presentation skills</li><li>
High comfort level working in fast paced environment</li></ul></div>

Sr Analyst, Supplier Ops

pro integrate solutions

Job description:Job Title: Data Moderator / Data CollectorOwn Vehicle and Laptop is requiredLocations:<ul><li>Atlanta, GA</li><li>Manhattan, NY</li><li>Brooklyn, NY</li><li>Las Vegas, NV</li></ul>Employment Type: W2 &ndash; Part-timePay Rate: $15 per hourSchedule:<ul><li>Mon&ndash;Fri: 5:00 PM &ndash; 9:00 PM</li><li>Sat &amp; Sun: 9:00 AM &ndash; 5:00 PM</li></ul>Own Vehicle is mandatoryAbout the RoleWe are seeking reliable and detail-oriented Data Moderators / Data Collectors to support on-site data collection projects for our client. This is an entry-level position that involves traveling to designated locations, guiding study participants through the data collection process, and ensuring all data is accurately recorded and uploaded.Key Responsibilities<ul><li>Travel to assigned locations to support on-site data collection activities.</li><li>Take clear, high-quality photographs and upload them to the client&rsquo;s portal.</li><li>Greet, brief, and assist study participants throughout the session.</li><li>Collect consent forms, demographic information, and payment details from participants and update trackers as required.</li><li>Moderate data collection sessions and ensure all procedures are followed.</li><li>Handle and maintain devices used for collection (phones, tablets, computers, etc.).</li><li>Follow instructions carefully and complete tasks accurately within required timelines.</li><li>Perform additional duties as assigned.</li></ul>Required Qualifications<ul><li>Must have a valid driver&rsquo;s license and reliable personal transportation.</li><li>Willingness to travel to multiple locations as scheduled.</li><li>Availability for evenings, weekends, and occasional overtime.</li><li>Basic knowledge of Microsoft Office 365 (Outlook, Excel, PowerPoint).</li><li>Comfortable with online communication tools and digital data entry.</li><li>Strong attention to detail and ability to complete repetitive tasks with consistent accuracy.</li><li>Ability to work independently while staying aligned with team processes.</li><li>Professional, organized, and reliable.</li></ul>What We&rsquo;re Looking ForWe are looking for someone who is dependable, punctual, comfortable interacting with study participants, and committed to maintaining data accuracy. This role is ideal for individuals seeking consistent part-time work with structured responsibilities.Job Types: Part-time, ContractWork Location: On the roadJob Type: ContractPay: $14.00 - $15.00 per hourExpected hours: 40 per weekWork Location: In person

Field Data Collector

Frame My Mirror

<div>
 
 
 Role Summary:
 
 
 
 This role is the backbone of our day-to-day e-commerce operations. You&rsquo;ll respond to customer questions, process orders across multiple platforms, and maintain clean, accurate records. You don&rsquo;t need deep e-commerce experience to start -
 
 you do need strong attention to detail, comfort learning new systems, and pride in doing things right the first time.
 
 
 
 
 &nbsp;
 
 
 
 
 About Frame My Mirror:
 
 
 
 At Frame My Mirror&reg;, we help customers transform their space without the cost or disruption of a full renovation. As the originators of Add A Frame&reg;, our DIY mirror framing kit designed to install directly onto an existing mirror, we make it easy for homeowners to achieve a high-end look with minimal effort.
 
 
 &nbsp;
 
 
 Our customers are DIY enthusiasts who value quality, simplicity, and smart design solutions. From thoughtfully engineered products to a dedicated support team, everything we do is focused on creating a seamless and confident experience from inspiration to installation.
 
 
 &nbsp;
 
 
 As our ecommerce business continues to grow, we are looking for driven individuals to join our team and help support the daily operations that keep our online channels running smoothly. If you enjoy working in a fast-paced environment, take pride in accuracy and customer experience, and want to grow alongside a collaborative team, we would love to meet you.
 
 
 &nbsp;
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 Customer Support (Phone + Written)
 
 
 <ul>
 <li>
 Respond to customer questions via email and phone with empathy, clarity, and accuracy
 </li>
 <li>
 Guide customers through product questions, ordering, shipping updates, and installation support
 </li>
 <li>
 Escalate issues appropriately and document outcomes clearly
 </li>
 <li>
 Manage online reviews and monitor customer experience trends
 </li>
 </ul>
 
 
 Order Processing &amp; Data Entry
 
 
 <ul>
 <li>
 Process and verify orders across channels (e.g., Amazon, Walmart, Wayfair and other channels)
 </li>
 <li>
 Update order records, addresses, and customer details with high accuracy
 </li>
 <li>
 Coordinate with the Operations team to ensure orders ship on time and exceptions are handled fast
 </li>
 </ul>
 
 
 Returns, Refunds, and Payments Support
 
 
 <ul>
 <li>
 Track returns/refunds/credits using internal logs and channel processes
 </li>
 <li>
 Managing payments and accounts receivable
 </li>
 <li>
 Basic reconciliation/reporting support
 </li>
 </ul>
 
 
 General Operations Support
 
 
 <ul>
 <li>
 Maintain internal trackers, templates, and documentation
 </li>
 <li>
 Identify repeated issues and suggest improvements to reduce errors and processing inefficiencies
 </li>
 </ul>
 
 &nbsp;
 
 
 
 In this role, you will succeed if you have:
 
 
 <ul>
 <li>
 Strong attention to detail with proven accuracy in transactional work and data entry
 </li>
 <li>
 Experience with spreadsheets (Excel/Google Sheets) and email tools (Outlook/Gmail)
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple priorities and meet deadlines
 </li>
 <li>
 A proactive, self-motivated mindset with a dependable &ldquo;get it done&rdquo; attitude
 </li>
 <li>
 Clear communication skills that support timely, confident customer responses and documentation
 </li>
 <li>
 A customer-first perspective with a focus on the overall customer experience
 </li>
 <li>
 Initiative and sound judgment while balancing independent work with team collaboration
 </li>
 <li>
 Comfort with structured, process-driven tasks in a growing small business environment
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Skills we
 
 
 
 hope
 
 
 
 you will bring:
 
 
 <ul>
 <li>
 High school diploma or equivalent (Bachelor&rsquo;s degree in Business, Communications or related field is a plus)
 </li>
 <li>
 Experience with QuickBooks, Order Management System, ShipStation
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Other important details:
 
 
 <ul>
 <li>
 Entry-level position with vast career advancement opportunities growing into a channel management role
 </li>
 <li>
 Annual salary range: $50,000 &ndash; $55,000, with opportunity to earn a performance-based bonus
 </li>
 <li>
 Paid vacation and holidays, 401K plan
 </li>
 <li>
 Training for professional development and skillsets
 </li>
 <li>
 Comprehensive benefit package including medical, dental, vision
 </li>
 </ul>
 
 &nbsp;
 
 
 
 EOE Male/Female/Disabled/Veteran. We welcome applications from Veterans and the Disabled.
 
 
 
 
 
 
 Contact:
 
 
 Caley Crawford
 
 
 
 Sr. eCommerce Manager
 
 
 
 800-331-6414
 
 
 caley@framemymirror.com
 
</div>

eCommerce Operations Specialist

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