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lead data analyst cx analytics pro product

The Home Depot

<div>Position Purpose:<div>
The Lead Data Analyst will serve as a principal strategic partner and technical anchor for the CX Analytics team supporting The Home Depot's Pro Product team. This individual will own the end-to-end analytics lifecycle for critical Pro workstreams, driving active engagement with stakeholders to shape business requirements and turn complex specifications into high-quality deliverables.</div><div></div><div>
Acting as a trusted advisor to leadership, product managers, and UX designers, the Lead Analyst will define data requirements, architect reporting frameworks, and translate complex datasets into compelling, actionable narratives that directly influence the Pro Product strategy. Utilizing expert-level SQL, Python, Tableau, and emerging AI technologies, this role will champion data-driven problem-solving, spearhead innovation (including AI/GenBI integration), and establish the gold standard for analytics governance and knowledge management across the team.</div> 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</li><li>
25% - Project Management &amp; Team Support - Lead and manage large and complex projects and teams. Provide direction on prioritization of work and ensure quality of work. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners. Clearly communicate impacts of recommendations to drive alignment and appropriate implementation. Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Manager</li><li>
This position has 0 direct reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% 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 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li><div>
Proven experience in a technical project leadership and strategic ownership role.</div></li><li><div>
Expert-level proficiency with SQL and complex script development.</div></li><li><div>
Advanced experience architecting and deploying reports in Tableau.</div></li><li><div>
Strong proficiency in Python for data manipulation, statistical analysis, and automation.</div></li><li><div>
Demonstrated enthusiasm and practical knowledge of leveraging AI/Machine Learning applications for business insights.</div></li><li><div>
Exceptional data storytelling skills with the ability to translate technical findings for non-technical leadership.</div></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>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Minimum Years of Work Experience:<ul><li>
6</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Lead Data Analyst - CX Analytics (Pro Product)

Case Technologies

Job Title: Customer Experience Sr. AnalystJob OverviewThe Customer Experience Sr. Analyst supports the Customer Care Center by analyzing customer sentiment, CSAT scores, and Voice-of-Customer (VOC) feedback to identify trends and improvement opportunities across Customer Care Center operations. This role turns raw customer data into clear, actionable insights that guide cross-functional decisions and help elevate the overall customer experience.The Sr. Analyst acts as a key insights partner &mdash; producing thoughtful analysis, compelling storytelling, and proactive recommendations that enhance both strategic planning and day-to-day operations.Overall Deliverables This content should not be construed as an exhaustive list of responsibilities or requirements. Employees may be required to perform other job-related responsibilities to help the department achieve its goals.ResponsibilitiesCustomer Experience Insights &amp; Analysis:<ul><li>Analyze CSAT, NPS, and customer sentiment data across Roadside and CCC operations.</li><li>Conduct text analytics, tagging, and VOC theme identification to surface customer pain points and service opportunities.</li><li>Perform deep-dive assessments comparing Roadside vs. CCC experience drivers.</li><li>Identify journey bottlenecks and operational friction points impacting customer satisfaction.</li><li>Monitor trends in closed-loop feedback to highlight systemic issues or areas requiring stakeholder alignment.</li></ul>Reporting &amp; Executive Communication:<ul><li>Develop weekly and monthly insights dashboards and summary reports in Power BI.</li><li>Build executive-ready narratives that connect customer sentiment to operational behavior.</li><li>Present insights to leadership in clear, concise, and visually compelling formats.</li></ul>Cross-Functional Partnership:<ul><li>The Sr. Analyst will identify and share relevant customer insights with:</li><li>Parts</li><li>Engineering Services</li><li>After-Sales Business Development (ASBD)</li><li>This includes</li><li>Highlighting product, parts, or engineering-related dissatisfaction themes.</li><li>Supporting root cause analysis beyond CCC operations.</li><li>Flagging recurring systemic breakdowns affecting service and retention.Tools &amp; Platforms:</li><li>Use Power BI, Medallia, Genesys, Copilot, Salesforce, and internal MBUSA systems to gather, analyze, and visualize data.</li><li>Maintain data accuracy and integrity across reporting sources.</li><li>Support forecasting, predictive trending, or ad-hoc analysis based on business needs.</li></ul>QualificationsRequired<ul><li>Bachelor&rsquo;s degree in Business, Analytics, Communications, Psychology, or equivalent experience.</li><li>2&ndash;4 years of experience in customer experience analytics, business analysis, call-center insights, or a related field.</li><li>Proficiency in Power BI, Microsoft Copilot &amp; AI-enabled tools</li><li>Experience with Medallia, Salesforce, or similar CX platforms.</li><li>Strong analytical abilities with an ability to simplify complexity.</li><li>Excellent written and verbal communication skills.</li><li>Strong organizational skills and ability to prioritize in a fast-paced environment.</li><li>Demonstrated ability to work collaboratively and influence cross-functional partners.</li><li>Preferred</li><li>Experience in automotive, luxury, or high-expectation customer service environments.</li><li>Familiarity with predictive analytics or VOC methodology.</li><li>Experience with call center operations or roadside assistance operations.</li><li>Knowledge of journey mapping or service design principles.</li><li>Competencies</li><li>Customer-centric mindset</li><li>Analytical and detail-oriented</li><li>Insight storytelling &amp; executive communication</li><li>Collaborative partnership</li><li>Continuous improvement focus</li><li>Strong data literacy</li></ul>Hybrid Requirement - Onsite at Sandy Springs OfficePay: From $20.00 per hourWork Location: Hybrid remote in Atlanta, GA 30328

Customer Experience Sr. Analyst

Prestige Staffing

<div>
 
 Senior Data Analyst &ndash; Forecasting &amp; Yield Optimization
 
 
 
 
 Pay
 
 
 
 $125,000 - $160,000 annually, dependent on experience and location
 
 
 
 Location
 
 
 
 New York City, or Atlanta
 
 
 
 Summary
 
 
 
 We are seeking an experienced Senior Data Analyst with 5&ndash;8 years of expertise in forecasting and yield management to develop models that maximize performance across our publisher network. This role involves predicting attribution outcomes, optimizing inventory yield, and delivering actionable insights through advanced analytics and visualization tools. The ideal candidate will collaborate with cross-functional teams to embed models into the platform, contributing directly to revenue growth and operational efficiency in the hospitality and travel adtech space.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 5&ndash;8 years of professional experience in data science, forecasting, or yield management
 </li>
 <li>
 Expertise in time series forecasting techniques (ARIMA, Prophet, Neural Networks) and optimization algorithms
 </li>
 <li>
 Proficiency in SQL, Python and/or R for data analysis and modeling
 </li>
 <li>
 Experience integrating large datasets from multiple sources, including attribution and performance metrics
 </li>
 <li>
 Strong communication skills to translate technical outcomes into business impact
 </li>
 <li>
 Ability to partner effectively with product, engineering, and business teams
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and refine forecasting models to predict attribution outcomes by hotel, publisher, and time period
 </li>
 <li>
 Build yield optimization frameworks to allocate publisher inventory efficiently and maximize client ROI
 </li>
 <li>
 Integrate data from attribution, publisher metrics, seasonality, and external signals for comprehensive analysis
 </li>
 <li>
 Deliver reporting and insights to guide decision-making across teams
 </li>
 <li>
 Create dashboards and visualizations to present data findings clearly to non-technical stakeholders
 </li>
 <li>
 Collaborate with product and engineering teams to embed models into the platform for scalable deployment
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and equity options
 </li>
 <li>
 Comprehensive medical, dental, and disability insurance
 </li>
 <li>
 401(k) match up to 4%
 </li>
 <li>
 Hybrid work environment with flexible scheduling
 </li>
 <li>
 15 personal days plus 10+ public holidays
 </li>
 <li>
 Monthly health and wellness stipend
 </li>
 <li>
 Casual, collaborative, and dog-friendly office culture in the heart of Flatiron or remote work options
 
 
 </li>
 </ul>
 #Dice #ZR-Pro
 
 
</div>

Sr Data Analyst

<div><div>Position Purpose:
The Senior Analyst, Quantitative Research supports the Banner Pricing Team within Orange Apron Media by producing prescriptive analytics, quantitative business insights and actionable visualizations that enable executive decision-making around ad pricing, campaign budgeting and revenue optimization. The role requires the ability to frame business problems in analytical terms, rapidly distill actionable recommendations, and handle multiple conflicting priorities. Along with the required business context, the Senior Analyst will need to leverage Google BigQuery / Python for data manipulation and analysis and Tableau for dashboarding (as needed). Depending on the task assigned, the Senior Analyst will collaborate cross-functionally or operate independently, under limited supervision. 
Key Responsibilities:<ul><li>
20% Work with other departments providing analytical insight on business performance.</li><li>
20% Research and analyze business trends &amp; customer behavior data to identify opportunities for website enhancements.</li><li>
20% Analyze web analytics data as well as other offline data to evaluate site performance.</li><li>
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.</li><li>
10% Takes the lead on new programs and initiatives for Web Analytics Team.</li><li>
10% Provide web analytics strategy to Specialty Channel.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to Sr Manager</li><li>
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><li>
No travel Required</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><li>
Responsible for helping others and providing on-the-job training or guidance</li><li>
Demonstrated business/financial modeling capabilities with tools such as Excel and Access</li><li>
Demonstrated skills in applying statistical analysis principles to business challenges</li><li>
Demonstrated communication and interpersonal skills</li><li>
Demonstrated ability to work well with others</li><li>
Strong analytical skills with attention to detail; self-starter</li></ul> 
Preferred Qualifications:<ul><li>
Prior experience with SQL, Python and Tableau</li><li>
Machine learning experience</li><li>
Analytical skills</li><li>
Presentation skills</li><li>
Strong communication skills</li><li>
Strong people skills</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>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div> 
Apply End Date: 04/29/2026</div>

Sr. Analyst - Quantitative Research

<div>Position Purpose:<div>
The Senior Analyst, Marketing Analytics leads the strategy for quantifying the impact of paid marketing channels on the full customer funnel. In this role, you will go beyond basic web metrics to map the complex user journey from paid media touchpoints to website engagement, culminating in offline sales at our physical locations.</div><div>
By integrating online behavior with offline data, you will provide a holistic view of channel performance. You will collaborate with Media, Finance, and Operations teams to design a fact-based growth strategy, using SQL and Tableau to uncover trends that maximize marketing ROI. Your insights will directly influence budget allocation, audience targeting, and website enhancements designed to drive high-value store traffic.</div> 
Key Responsibilities:<ul><li>
20% Work with other departments providing analytical insight on business performance.</li><li>
20% Research and analyze business trends &amp; customer behavior data to identify opportunities for website enhancements.</li><li>
20% Analyze web analytics data as well as other offline data to evaluate site performance.</li><li>
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.</li><li>
10% Takes the lead on new programs and initiatives for Web Analytics Team.</li><li>
10% Provide web analytics strategy to Specialty Channel.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to Manager, Channel Analytics</li><li>
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><li>
No travel Required</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><li>
Responsible for helping others and providing on-the-job training or guidance</li><li>
Demonstrated business/financial modeling capabilities with tools such as Excel and Access</li><li>
Demonstrated skills in applying statistical analysis principles to business challenges</li><li>
Demonstrated communication and interpersonal skills</li><li>
Demonstrated ability to work well with others</li><li>
Strong analytical skills with attention to detail; self-starter</li></ul> 
Preferred Qualifications:<ul><li>
Prior Business Analyst roles</li><li>
Analytical skills</li><li>
Presentation skills</li><li>
Strong communication skills</li><li>
Strong people skills</li><li>
Expertise in Tableau</li><li>
Media Knowledge: Familiarity with paid media platforms (Google Ads, Meta Ads Manager) and attribution modeling (Linear, First-Touch, Data-Driven).</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> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Senior Analyst, Marketing Analytics

<div>Position Purpose:
The Senior Analyst, Program Management - AI / Automation Enablement, is the functional lead and execution engine for high-impact AI-powered solutions. This role bridges the gap between business strategy and technical delivery, translating the needs of Online Merchants and Brand Advocates into scalable, automated workflows.
Reporting to the Senior Manager, this individual is responsible for the day-to-day management of a &quot;Balanced Team&quot; (Data Science, IT, and UX), ensuring that technical roadmaps are aligned with business realities. The Senior Analyst combines a strong grasp of data architecture and SQL/data warehousing with a product-centric mindset to drive the development, integration, and adoption of agentic systems across a 1&ndash;2 year program horizon.
Key Responsibilities:<ul><li>
25% Cross-Functional Coordination - Balanced Team Leadership: Lead the daily cadence and project rhythm for a matrixed team of Data Science, IT, and UX partners, ensuring high-performance and program rigor. Collaborative Best Practices: Actively contribute to the solution design process, voicing opinions on best practices and fostering a culture of continuous improvement within the technical team. Dependency Management: Proactively identify and resolve impediments across indirect support teams, ensuring that cross-functional roadmaps remain synchronized.</li><li>
30% Program Execution &amp; Sprint Delivery - Roadmap Management: Orchestrate the phased delivery of AI solutions, balancing immediate sprint needs with the long-term (1&ndash;2 year) strategic goals of the program. Execution Rigor: Manage program tracking against the roadmap, focusing on schedule, scope, and resource alignment while translating technical risks into potential business impacts. Integration Strategy: Coordinate the seamless embedding of AI tools into existing merchant workflows, ensuring that solutions are user-friendly and technically scalable.</li><li>
15% Stakeholder Alignment &amp; Value Realization - User Advocacy: Serve as the primary point of contact for Online Merchants and Brand Advocates, managing expectations and communicating transparent status updates. Adoption &amp; Change Management: Support the development of change management plans to ensure business teams effectively adopt and trust new AI-driven processes. Value Tracking: Monitor tool performance and report on business outcomes (e.g., efficiency gains, ROI, and decision-making accuracy) to leadership and executive stakeholders.</li><li>
30% Technical Product Ownership &amp; Solutioning - Workflow Translation: Partner with business users to deconstruct manual processes into structured logic, identifying where AI and automation can drive the most operational leverage. Data Fluency: Leverage SQL and data warehouse knowledge to understand underlying data structures, validate model inputs, and ensure technical solutions are built on a sound architectural foundation. Technical Requirement Definition: Translate ambiguous business &quot;pain points&quot; into high-quality technical requirements, user stories, and acceptance criteria for Data Science and Engineering teams. Product Quality Assurance: Act as a primary tester for AI outputs, ensuring the solution meets the rigorous accuracy and reliability standards required by the business.</li></ul>
Direct Manager/Direct Reports:
<ul><li>This Position typically reports to Senior Manager.
</li><li>This Position does not have direct reports.</li></ul>
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% 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><li>
4+ years of professional experience in a Product Management, Business Analysis, or Technical Program Management capacity.</li><li>
2+ years of direct experience contributing to the implementation of AI, ML, or Automation solutions within business workflows.</li><li>
Demonstrated experience leading cross-functional &quot;Balanced Teams&quot; (Data Science, Engineering, UX) in an agile or sprint-based environment.</li><li>
Technical Data Proficiency: Proficiency in SQL and experience navigating cloud data warehouses to analyze data structures and validate solution inputs.</li><li>
Business Translation: Proven ability to translate ambiguous business &quot;pain points&quot; into structured technical requirements and user stories.</li><li>
Solution Lifecycle Management: Experience driving a technical product from initial requirements through UAT, deployment, and user adoption.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in a relevant field (Computer Science, Data Analytics, Business Information Systems, or equivalent).</li><li>
Technical Product Ownership: Prior experience working as a Product Owner or Lead Analyst within a modern software design and development team.</li><li>
Process Optimization: Demonstrated experience re-engineering manual business processes into automated or AI-enabled workflows.</li><li>
AI Ecosystem Knowledge: Familiarity with the components of Generative AI systems, including an understanding of how models integrate with enterprise applications via APIs or orchestration layers.</li><li>
Data Architecture: Knowledge of data modeling concepts and how data flows from source systems to AI model endpoints.</li><li>
Retail or E-commerce Experience: Prior experience supporting Online Merchants, Brand Advocates, or similar business-side stakeholders in a large enterprise environment.</li><li>
Change Management: Experience developing training materials and documentation to drive the adoption of new technical tools.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul>
Preferred 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>
Minimum Years of Work Experience:<ul><li>
2</li></ul>
Preferred Years of Work Experience:
<ul><li>4</li></ul>
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul>
Preferred Leadership Experience:
<ul><li>No previous leadership experience</li></ul>
Certifications:
<ul><li>Insurance licensing as required by state</li></ul>
Competencies:
<ul><li>Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Ensures Accountability</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Sr Analyst, Program Management AI Automation Enablement

<div>Position Purpose:
The Sr Analyst Space Planning is the key business partner and advisor for the Merchandising Organization on all matters related to space planning and analytics. In addition to planogram responsibilities, the Sr Analyst will assist their merchant with analysis to drive sales, optimize assortments, increase turns and maximize profit. The Sr. Analyst will partner with the merchant, space analysts, store planning, visual merchandising and project managers on all resets, MET projects and other activities for which space analytics and planogram support is required. This role will negotiate project timelines, ensure that all required inputs are received complete/timely and will escalate issues to the Manager, Space Planning, as required. The Sr. Analyst will also be involved in designing and implementing new processes that will continue the evolution of this department and contribute to taking this team to the leading edge of space planning and analysis. 
Key Responsibilities:<ul><li>
40% Execution: Design and build planograms, incorporating merchandising strategy, visual merchandising standards and best practices, merchandising safety standards and analyze planograms to optimize sales, profitability and inventory productivity</li><li>
35% Analysis: Leverage systems to analyze and develop recommendations around key merchandising factors (e.g., space productivity, pricing, inventory turns, margin rates, promotional activity, product trending)</li><li>
10% Collaboration: Attend weekly meetings with cross-functional teams to participate in business discussions and provide space planning expertise, contributing to strategic merchandising plans for the business</li><li>
10% Problem Solving: Work on behalf of merchant to identify, quantify, and communicate assortment opportunities; helps develop seasonal transition targets and strategies, if applicable</li><li>
5% Assessment: Works on various product tests within respective category, including inventory monitoring, in-store execution, visual merchandising, and analyzing results.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to the Sr. Manager, Space Planning.</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><li>
Experience with JDA Intactix space management suite including: Space Planning, CKB, Planogram Generator, and Space Automation.</li><li>
Experience working in the retail industry.</li><li>
Experience analyzing large amounts of data</li></ul> 
Preferred Qualifications:<ul><li>
Working knowledge of Microsoft Office Suite</li><li>
Working knowledge of Tableau</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Working knowledge of analytical/statistics software (e.g., SPSS, SAS, R, Stata)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Demonstrated project management skills</li><li>
Excellent written and verbal communication skills</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>
2</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 Insights - Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Decision Quality - Making good and timely decisions that keep the organization moving forward</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></ul></div>

Sr. Analyst Space Planning

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