senior data mining analyst

The Home Depot

<div>Position Purpose:
A Logistics Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control Logistics operations and processes. Sr. Logistics Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support Logistics management. Solves problems by considering courses of action within the framework of business goals and standards. Operates with minimal supervision and once given general assignments, prioritizes and executes tasks. Provides and communicates recommendations to upper management. Mentors and guides Logistics Analysts in daily work tasks. Must be a self starter, detail oriented, able to support and lead multiple projects, possess excellent communication skills, work well with a team, interact with multiple levels and functions with the Logistics organization, and able to manage vendor/business relationships. - Daily project activity coordination for multiple large scale initiatives such as Supply Chain Sync, Manual Floor Load, and Breakpack enhancement Implementation. - Developing and executing score carding for project and key organizational metrics to evaluate the performance to business case of those projects. - Performs forecasting, development and implementation of process improvement opportunities associated with assigned projects - Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company 
Key Responsibilities:<ul><li>
25% Utilizes quantitative skills to create and analyze reports to support business execution. Supports the business through ad-hoc queries, and maintains reports from a variety of resources as specific to department or organizational needs</li><li>
25% Develops business tools and solutions based on knowledge, product or technology. Identifies Logistics process improvement opportunities through strategic thinking, critical thinking and analysis
</li><li>20% Provides recommendations to senior management. Mentors and guides Logistics Analysts</li><li>
20% Performs data management through data mining/data modeling/data analysis/cost/benefit analysis/process mapping/%/or problem analysis while executing day to day processes related to area of responsibility. Develops &amp; maintains cost estimates, forecasts, and cost models. Supports business through ad-hoc queries &amp; maintains reports</li><li>
10% Manages vendor/business partner relationships</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Manager of Sr Manager</li><li>
This position has no 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>
Industrial Engineering, Business Administration, Math or Finance Degree Master's Degree</li><li>
Experience with Six Sigma or other Process Improvement Methodology</li><li>
Proficient in: Microsoft Office Suite including Access, Excel, Powerpoint, Project, Word and Visio.</li><li>
Advanced Skills in: Mini-Tab, Access, SQL, Visual Basic Skills for Data Acquisition and Analysis, Visio-Process Mapping Skills</li><li>
Project Management Skills</li><li>
Finance/CBA/Capital Budget Experience</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>
None</li></ul></div>

Sr. Analyst, Data Quality

<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

<div>Position Purpose:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists. 
Key Responsibilities:<ul><li>
30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests</li><li>
20% Executes existing reporting and analytical responsibilities</li><li>
20% Ensures the quality of work output by displaying a keen attention to detail</li><li>
20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture</li><li>
10% Develops additional technical competencies and subject matter expertise within core functional group</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to Manager or Sr Manager</li><li>
This position has no 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>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, 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 MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.</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>
Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.</li><li>
An unquenchable intellectual curiosity for getting at the underlying story being told within the data.</li><li>
Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.</li><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Ability to quickly learn and adapt to new technologies, tools, and techniques.</li></ul></div>

Sr. Data Analyst, Data Quality

<div>Position Purpose:
The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, efficiencies and customer value by supporting the data science and analytical needs of THD&rsquo;s Cost Finance Team. This role assists in the development of the Home Depot advanced analytics, machine learning, and AI infrastructure that informs cost mitigation and strategic sourcing decisions. Sr. Data Scientists are expected to seek out business opportunities to leverage data science to improve the company&rsquo;s cost position and profitability. Based on the specific data science team, this role would need to be an expert in data science methods such as data engineering, pipeline development and maintenance, machine learning, and artificial intelligence as well as fluent in cost finance concepts.
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with finance managers and finance leadership, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
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 Degree (Computer Science, Math, Statistics, etc.)</li><li>
Bachelor&rsquo;s Degree in required field (Mathematics, Statistics, Economics, Finance)</li><li>
6+ years of experience in business intelligence and data science</li><li>
Working knowledge of international trade dynamics and regulations or experience supporting retail cost mitigation efforts</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis in a retail setting</li><li>
Experience developing production quality databases and pipelines for machine learning/artificial intelligence</li><li>
Demonstrated proficiency in building Gen AI agents and building agentic AI systems</li><li>
Experience working with Application Programming Interfaces (APIs)</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient in Python</li><li>
Proficient running queries against Google BigQuery</li><li>
Proficient with Tableau</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems (including hypothesis testing, regression, time series, machine learning, and deep learning)</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>

Senior Data Scientist - Generative BI

<div>Position Purpose:
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% 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; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</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><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</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>
10</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>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the 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>
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 Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Senior Manager - Generative BI

<div>Position Purpose: 
The role requires critical thought leadership focused on developing analytical processes, tools, and strategy for driving improved performance throughout the supply chain. This role is responsible for managing an organization that spans a wide-range of functional and technical skillsets. This role helps to drive analytical initiatives to tangible results meeting and exceeding the supply chain&rsquo;s operational and financial targets. The role requires considerable analytical and technical skills, ability to effectively describe those processes to leadership, and successfully drive implementation. The role requires strong partnership &amp; communication skills with operational teams. 
 
Key Responsibilities:<ul><li>
15% - Capital Planning - Establishes short and long range capital plans and executes projects in a timely and fiscally responsible manner with utmost customer satisfaction.</li><li>
20% - Implementation - Develops, plans and implements department's goals and objectives.</li><li>
15% - Problem Solving - Provides sophisticated and scalable solutions when confronting challenging analytical and technical challenges.</li><li>
50% - Team Leadership - Manages, develops, and maintains a team dedicated to analytics projects throughout numerous elements of the supply chain.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Director Supply Chain Analytics.</li><li>
This role has 3 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 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Working knowledge of Tableau</li><li>
Working knowledge of presentation software (e.g., Microsoft PowerPoint)</li><li>
Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop)</li><li>
Demonstrated ability to collaborate and work effectively with cross-functional teams</li><li>
Ability to develop and apply advanced mathematical/statistical techniques</li><li>
Ability to draw accurate conclusions from financial documentation</li><li>
Demonstrated project management skills</li><li>
Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences</li><li>
Excellent written and verbal communication skills</li><li>
M.S. in Computer Science, Math, Engineering, supply chain or related quantitative field</li><li>
Work experience with SQL Server, Teradata, Oracle, or comparable database systems</li><li>
Expert knowledge in large scale information retrieval and statistical 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>
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>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
7</li></ul> 
Minimum Leadership Experience:<ul><li>
2</li></ul> 
Preferred Leadership Experience:<ul><li>
3</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Business Insights</li><li>
Builds Effective Teams</li><li>
Cultivates Innovation</li><li>
Ensures Accountability</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Connecting End to End Impacts</li><li>
Translating Complexity</li></ul></div>

Sr. Manager, Data Analytics - Forecasting

National Carwash Solutions, Inc.

<div>This position requires the candidate to be available to work in person in our Atlanta office. We come in 3 days per week, but support flexibility as needed.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not currently able to sponsor work visas.

&quot;High-Fiver&quot; Wanted: Sr. Data Scientist

Are you the type of person who gets excited about discovering patterns in data? Do you love translating complex analyses into actionable business insights? Do you high-five your teammates when your models successfully predict customer behavior? If so, you are exactly who we are looking for.

We are looking for a talented, dedicated, and experienced Sr. Data Scientist to join our high-five team and take part in the continued growth of our dynamic young company.
<h4 class="jobSectionHeader">
About AMP (An NCS Company)</h4>

AMP is an industry-leading technology company providing innovative solutions to car wash operators across the country. Our products include cutting-edge software solutions such as white-labeled mobile membership apps, administrative portals, and kiosks. These solutions allow our customers to capture and use customer data at a level not seen in the car wash industry before.

AMP is a division of National Carwash Solutions (NCS). NCS has grown to become North America&rsquo;s largest equipment, service, and cleaning solutions provider in the car wash industry. For over five decades, National Carwash Solutions (NCS) has revolutionized the carwash industry, offering unparalleled quality and innovative technology. NCS offers the most extensive service network and is home to many trusted brands. No matter if customers are new to the industry or are looking to level up a classic site, NCS is the proven partner for operational excellence and sustainable growth.

Our family of brands includes MacNeil, Ryko, Vacutech, PurClean, TSS, Rain-X, ArmorAll, Black Magic, Blue Coral, USA Towel, International Drying Corporation &amp; Shadow.

What are we looking for?

You will be responsible for turning our data into actionable insights. Here's what that entails:

Data Analysis and Modeling
<ul>
<li>Build and deploy machine learning models to predict customer behavior, membership churn, and usage patterns</li>
<li>Analyze customer engagement data to identify trends and opportunities for platform improvement</li>
<li>Develop and maintain data pipelines for processing large-scale transaction data</li>
<li>Create and optimize algorithms for personalized customer recommendations</li>
<li>Implement A/B testing frameworks to evaluate feature effectiveness</li>
</ul>
 Business Intelligence and Reporting
<ul>
<li>Design and maintain dashboards for key business metrics</li>
<li>Develop automated reporting systems for car wash operators</li>
<li>Create predictive models for business forecasting</li>
<li>Analyze membership patterns and provide insights for pricing optimization</li>
<li>Generate actionable insights from customer feedback and behavior data</li>
</ul>
Cross-functional Collaboration
<ul>
<li>Work closely with product and engineering teams to implement data-driven features</li>
<li>Partner with customer success to understand operator needs and pain points</li>
<li>Present findings and recommendations to stakeholders and leadership</li>
<li>Contribute to the development of data-driven product features</li>
<li>Mentor and train junior team members on data science best practices</li>
</ul>
What we expect you to have:
<ul>
<li>Master's degree in Data Science, Computer Science, Statistics, or a related field</li>
<li>5+ years of experience in applied data science or machine learning</li>
<li>Strong programming skills in Python and SQL</li>
<li>Experience with modern data science tools and libraries (Pandas, Scikit-learn, etc.)</li>
<li>Proficiency in data visualization tools (Tableau, Power BI, etc.)</li>
<li>Experience with cloud platforms (Azure, AWS)</li>
<li>Experience with business intelligence tools</li>
<li>Strong analytical and problem-solving skills</li>
<li>Excellent communication skills for presenting technical concepts to non-technical audiences</li>
</ul>
Bonus points and street cred for the following:
<ul>
<li>Experience with NLP and analysis of customer feedback data</li>
<li>Background in customer behavior analysis or predictive modeling</li>
<li>Knowledge of time series analysis and forecasting</li>
<li>Experience with real-time data processing and streaming</li>
<li>Previous experience in SaaS or subscription-based businesses</li>
</ul>
 Why work for us?

We have one of the most supportive and sustainable cultures anywhere. Our team of lifelong learners has a thirst for knowledge and a passion for technology and software. We're dedicated to building world-class solutions for our customers, and at the same time, place a high value on team rewards and personal career growth. We enjoy working together to solve challenging problems, teaching each other through lunch-and-learns, and celebrating victories (even the small ones) along the way.

Benefits you deserve:
<ul>
<li>Highly competitive salaries</li>
<li>Potential equity interest in a rapidly growing company</li>
<li>Generous PTO policy and holiday schedule</li>
<li>401K plan with company matching</li>
<li>Excellent medical, dental, and vision insurance</li>
</ul>
But wait, there's more!
<ul>
<li>Located at Atlanta Tech Village, the 4th largest tech space in the US</li>
<li>World-class engineering team with an incredible track record</li>
<li>Team-building events, outings, and hackathons</li>
<li>State-of-the-art workspace and hardware</li>
<li>Strong focus on community service and volunteering</li>
<li>Free gym, snacks, and beverages</li>
</ul>
National Carwash Solutions is a proud equal opportunity employer. We are a drug-free, EEO employer committed to a diverse workforce. We will consider all qualified candidates regardless of race, color, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity, family responsibilities, disability, education, political affiliation, or veteran status.</div>

Sr. Data Scientist

Explore 346+ Senior data mining analyst in Atlanta this April. Find roles across top companies and apply now to boost your career.