data quality analyst

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &quot;good&quot; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

<div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Sales Data Quality Analyst II

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &ldquo;good&rdquo; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

</div><div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

DCS Corp

<div><div>DCS is seeking a Data Management Analyst to support an Army project management office at Fort Belvoir, Virginia. This position supports a fast-paced program office with the collection, evaluation, analysis, reconciliation, validation, management, and identification of electronic data and records for a health-related program. The ideal candidate is a team player and a self-starter with a demonstrated ability to get things done efficiently and accurately.
As part of our team, you will bring your programming, data analysis, visualization and data mining expertise to life. At DCS Corporation, you will find competitive pay, top-tier benefits, and a collaborative, innovative culture built to support your growth. Best of all, you&rsquo;ll be part of a mission-driven team focused on achieving meaningful results.
This is a full-time, onsite position.
Essential Job Functions:<div>
Provides data management and data quality expertise in support of the design, management, and entry of the DOW records.
Conducts data quality analysis, validation, and verification.
Assists in configuration management of the data dictionary.
Parses vast amounts of data to establish and maintain data quality.
Creates data reports and graphs for data visualization.
Required Skills:</div>
Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
Bachelor's Degree and 8 years of data management experience.
Secret clearance required.
Proactive, self-starter with strong oral and written communication skills.
Desired Skills:
Knowledge of Army Vantage.
Experience with SharePoint, Power BI, SQL, and Agile technologies.</div></div>

Data Management Analyst

HeiTech Services, LLC

<div>
 
 Description
 
 
 
 The Analyst 1 supports core data processing activities by reviewing, organizing, and validating incoming data in accordance with established procedures. This role involves identifying and resolving discrepancies, performing basic research, and ensuring that data is processed accurately and on time. Analysts contribute to maintaining quality standards while supporting team production goals. This position is well suited for individuals who are detail-oriented and comfortable working in a structured, deadline-driven environment where accuracy and consistency are essential.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Process monthly and quarterly employment and wage data.
 </li>
 <li>
 Researches and corresponds with survey respondents on data issues as needed.
 </li>
 <li>
 Formats and imports data files into approved software applications and databases.
 </li>
 <li>
 Follows approved data quality procedures for data analysis, editing and coding.
 </li>
 <li>
 Meets designated data production timing requirements.
 </li>
 <li>
 Maintains standards for data quality.
 </li>
 <li>
 Researches and writes correspondence in reply to state employment agency personnel data related questions.
 </li>
 <li>
 Completes all assigned ancillary tasks.
 </li>
 <li>
 Provides complete and timely information via notes and email on problem cases and solutions.
 </li>
 <li>
 Imports files into databases and transmits processed confidential data to remote computer systems using approved data transfer software.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 High School diploma or equivalent plus one year's relevant experience.
 </li>
 <li>
 Two years&rsquo; experience using Microsoft Office tools or equivalent. Must be proficient in the use of MS Excel or equivalent.
 </li>
 <li>
 Two years&rsquo; experience using the internet for research.
 </li>
 <li>
 Possess basic math skills required to analyze and edit monthly and quarterly data in accordance with established standards.
 </li>
 <li>
 Attention to details; recognizes and investigates problems.
 </li>
 <li>
 Willing to acquire additional technical and PC skills.
 
 
 </li>
 </ul>
 
 Work Location:
 
 
 
 <ul>
 <li>
 On-site in Chicago, IL (telework eligible after completion of training and demonstration of consistent performance).
 </li>
 <li>
 Candidates must be able to work on-site as needed to support training, collaboration, and operational requirements.
 
 
 </li>
 </ul>
 HeiTech Services is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, or any other protected status under applicable law.
 
 
 If you require a reasonable accommodation during the application process, please contact us at HR@HeiTechServices.com.
 
 
 HeiTech Services may utilize technology-assisted tools, including artificial intelligence, to support the review of application materials. These tools are used to enhance efficiency; however, all hiring decisions are made by human reviewers in accordance with federal hiring guidelines.
</div>

Analyst 1

Horizontal Talent

<div>
 Join our dynamic team as a Business/Data Analyst and drive impactful data solutions across the enterprise. Help connect data-driven insights with strategic business objectives in a supportive and inclusive environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with stakeholders to gather, analyze, and document critical business and data requirements.
 </li>
 <li>
 Ensure accurate data attribution and seamless source-to-target mapping for enterprise data elements.
 </li>
 <li>
 Facilitate the translation of business needs into functional specifications and technical solutions.
 </li>
 <li>
 Provide SQL support for data validation and transformation processes.
 </li>
 <li>
 Engage in mapping reviews to maintain high standards of quality and consistency.
 </li>
 <li>
 Conduct thorough data analysis and validation to guarantee data integrity and quality.
 </li>
 <li>
 Define testing scenarios and support users through integration and acceptance testing phases.
 </li>
 <li>
 Communicate effectively with project teams and stakeholders about progress and potential risks.
 </li>
 <li>
 Mentor junior team members and promote a culture of continuous improvement.
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Proven experience in business and data analysis with a strong analytical mindset.
 </li>
 <li>
 Proficiency in SQL for data requirement translation and validation tasks.
 </li>
 <li>
 Solid experience with data mapping, modeling, and cloud platforms like Google Cloud Platform.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Background in IT within banking or financial services to understand sector-specific data challenges.
 </li>
 <li>
 Familiarity with Agile practices, and tools like Jira and Confluence for workflow management.
 </li>
 <li>
 Experience with data quality analysis and utilizing BI tools such as Tableau.
 
 
 
 </li>
 </ul>
 At Horizontal, we are committed to fostering a diverse, equitable, and inclusive workplace where individuals from all backgrounds are valued. Your unique perspectives will drive creative solutions for our evolving challenges.
 
 
 By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
 
 
 Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $39 - $75 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.
</div>

Business/Data Analyst

The Home Depot

<div>Position Purpose:
The Sr Data Analyst, Pro Experience will serve as a key role supporting the Home Depot Pro strategic growth initiatives. As part of the Pro Experience team, the Sr Data Analyst will be responsible for owning individual analytical projects and team initiatives that involve analyzing data, designing pilot campaigns, building Tableau dashboards, and communicating findings effectively to partner teams.
This role is designed for individuals with advanced analytical skills who can leverage large data sets to drive actionable insights. The ideal candidate possesses a strong understanding of data visualization tools and statistical analysis techniques, demonstrating the ability to work independently as well as collaboratively within cross-functional teams
Key Responsibilities:<ul><li>
Establish reporting standards and best practices.</li><li>
Architect and implement a reporting framework.</li><li>
Oversee data mining efforts.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data.</li><li>
Collaborate with stakeholders, developers, UX designers and end-users to determine requirements.</li><li>
Data analysis, development of SQL scripts, stored procedures &amp; triggers, and report generation.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data</li><li>
Data Cleansing/validation</li><li>
Prepare data load scripts for mass data load from various data sources</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position Reports to Sr. Engineer or Sr. Manager</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>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language such as Python</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, Tableau, etc.)</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.</li><li>
Work experience with Google BigQuery.</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>
7</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>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Commitment to organized, high-quality deliverables.</li><li>
Ability to mentor colleagues on standards, best practices, and new technology concepts.</li><li>
Understanding of usability best practices and user design.</li><li>
Creative approach to problem solving, innovation, and issue resolution.</li><li>
Excellent verbal and written communication skills.</li><li>
Self-motivated and self-managed with a high degree of analytical ability and intellectual curiosity.</li></ul></div>

Sr. Data Analyst - Pro Experience

<div>Position Purpose:
The purpose of the Senior Data Analyst for Product Data Insights &amp; Tooling is to turn our vast item catalog into a high-performance engine for decision-making. The Senior Data Analyst is responsible for leveraging complex, large-scale data to derive actionable insights that directly influence and support executive-level merchandising strategy. This role requires a blend of advanced technical data manipulation skills and a deep understanding of retail merchandising principles to translate raw data into clear, impactful business recommendations. In this position, the Senior Data Analyst will build and support automation, leverage AI tooling, and collaborate cross-functionally in alignment with the executive strategy. The position requires knowledge of merchandising, an analytical skillset, and an entrepreneurial mindset.
Key responsibilities include:<ul><li>
Manipulating and analyzing large, complex datasets to identify trends, patterns, and opportunities related to category and product performance, customer behavior, and market dynamics.</li><li>
Translating analytical findings into concise, compelling recommendations and presenting them to leadership to inform and validate merchandising strategies.</li><li>
Developing and maintaining dashboards and reports to track key performance indicators, effectively communicating merchandising insights to cross-functional stakeholders.</li><li>
Partnering with cross-functional teams to align analytical projects with overarching business goals and providing data-driven guidance.</li></ul> 
Key Responsibilities:<ul><li>
Represents the Merchandising function in business process evaluation, procedural development, systems requirements definition and systems functional design.</li>
Project/Initiative Management<li>-Partners with senior and department management and cross-functional teams in determining and defining business need/requirements; project plans, risk assessments, communication, implementation, training and change management</li><li>
Manages the business and project team expectations including addressing project issues, changes; May directly supervise staff members in the development, implementation and support of applications and business processes to meet the client's business requirements.</li><li>
Driving the requirements gathering efforts for a project (either development or implementation), including managing the expectations of the project manager, the stakeholders, the project team and executive management.</li><li>
Proposing alternatives and solutions to requirements management for each project that most closely aligns with the specific timetables, objectives and business issues at hand.</li><li>
Consulting with cross-functional managers, project managers, management and customers to ensure that all projects undertaken adequately address requirement related issues. Understanding the business case behind all projects, including the motivating factors for all stakeholders. Working with the Business Manager to analyze all potential opportunities to enhance, improve and refine the requirements gathering processes.</li><li>
Establishes and reports on metrics of assigned projects to gauge business value (ROI).; Audits and evaluates implemented projects (systems/processes, for example) to support continuous improvement opportunities.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to Manager or Senior Manager Merchandise Mgt Systems</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</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 eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Business, Analytics, Data Science, or a related field.</li><li>
3-5+ years of experience in a data analytics role, preferably within a retail or merchandising environment.</li><li>
Proven expertise in manipulating and analyzing large datasets using SQL and/or other programming languages (e.g., Python, R).</li><li>
Strong proficiency with data visualization tools such as Tableau or Power BI.</li><li>
Excellent ability to communicate complex data concepts and recommendations to both technical and non-technical audiences, including senior leadership.</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>
Proficient in business process evaluation and procedure development; Demonstrates a thorough knowledge of all tools, processes, methodologies and standards for requirements gathering, documentation and analysis.</li><li>
Previous experience supervising professionals</li><li>
Experience or in-depth knowledge of retail merchandising and/or logistics; possesses cross functional retail knowledge.</li><li>
Strong communication, analytical, organizational, leadership and teamwork skills; Demonstrated experience in process improvement and/or SDLC and project management methodology</li><li>
PC proficiency, including knowledge of worksheet, word processing, project management and presentation applications</li></ul></div>

Senior Analyst, Item Data Management – Data Quality

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Sales Data Quality Analyst II

Sales Data Quality Analyst II

Data Management Analyst

Analyst 1

Business/Data Analyst

Sr. Data Analyst - Pro Experience

Senior Analyst, Item Data Management – Data Quality