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analytics manager

The Home Depot

Position Purpose: Responsible for leading the structure and execution of analytical projects, providing thought leadership across their vertical, managing direct reports, and partnering with other Loyalty teams to deliver on key project milestones and outcomes. Acts as thought partner with all areas of the Company, including executive leadership, operations, merchandising, marketing and e-commerce. Key Responsibilities: 10% Partner with the business to conceptualize business issues and translate into appropriate analytical approaches 30% Analysis of large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations 30% Development and delivery of effective presentations that summarize complex analyses and inform business decisions 20% Coordination of the activities of internal and outsourced customer analytics resources 10% Build trusted relationship with business partners Direct Manager/Direct Reports: Position reports to Sr Manager Loyalty Program Analytics This position has direct reports Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Masters degree or MBA Experience using statistics/analytics in a business or marketing setting Experience with writing database queries and working with enterprise database tools Familiarity with extremely large customer and transaction-level data set Prior experience with SQL, Python and Tableau Retail experience and/or interest Minimum Education: 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. Minimum Years of Work Experience: 4 Competencies: History of outstanding performance in strategic thinking and analysis Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication) Ability to develop frameworks and approaches to break complex business questions into addressable pieces Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.) Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.) Experience with creative data visualization techniques Experience developing executive-ready communication materials and presenting them to senior stakeholders Ability to work closely with peers and manager in flat team structure Demonstrated history of continuously learning new analytical techniques and approaches Ability to interpret and translate outputs from complex analyses into business language

Manager, Loyalty Program Analytics

<div>
 Req174407
 
 
 
 Position Purpose
 
 
 
 Online Data Engineer teams at The Home Depot translate business requirements and build the infrastructure needed to capture customer data. They acquire datasets that align with business needs and develop algorithms to transform data into useful, actionable information. Additionally, they build, test, and maintain database pipeline architectures. They create new data validation methods and data analysis tools. Data Engineers develop application programming interfaces (APIs) to retrieve data. Our Data Engineers develop, host, and maintain in-house enterprise solutions to improve reliability and confidence through monitoring, continually testing, and validating the products we support. These associates use big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
 
 
 The Online Data Engineer Manager position is responsible for managing a team and processes related to the development of advanced analytics to support the Company's strategic objectives. This position is responsible for prioritizing requests and managing a product roadmap. Additionally, the communicate effectively with technical and non-technical audiences. Online Data Engineer Managers provide data architecture that is flexible, scalable and consistent for cross-functional use and align to stakeholder business requirements.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 40% - People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Engineers (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team&rsquo;s results and celebrate accomplishments.
 </li>
 <li>
 25% - Project Management &amp; Team Support - 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.
 </li>
 <li>
 15% - Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage and advocate for team&rsquo;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 the team to be most effective in executing their roles; Collaborate with other data team managers across the organization to establish high level strategy and optimize talent management.
 </li>
 <li>
 20% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Drive analytics teams to get matured in predictive and prescriptive analytics; Network with both academic and industry experts to further the application of advanced analytics to business problem.
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position reports to the Senior Manager or Above
 </li>
 <li>
 This position has 3-4 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>
 <li>
 Experience managing and growing team members in a professional setting
 </li>
 <li>
 Demonstrated proficiency in guiding more junior team members through data modeling, mining, and data analysis
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, etc.) or relevant work experience
 </li>
 <li>
 Previous people or project team management experience
 </li>
 <li>
 Mastery of writing SQL queries against a relational/column-based database
 </li>
 <li>
 Proficient building ETL/data pipelines
 </li>
 <li>
 Mastery of a modern scripting language (preferably Python)
 </li>
 <li>
 Proficient stitching and maintaining data from multiple sources using tools like Google BigQuery and Python
 </li>
 <li>
 *NOTE: Below qualifications may be team specific
 </li>
 <li>
 Experience with JavaScript, Front-end development frameworks (React, Nucleus), and QA apps (Retina, KPI Shield, Alert Goose) [John's Team]
 </li>
 <li>
 Ability to produce tags for site data [John's Team]
 </li>
 <li>
 Experience engineer and automate data flows pipelines (using tools like PySpark, AirFlow, or DataProc)
 </li>
 <li>
 Knowledge of optimizing pipeline run time and lowering the cost on slots/storage consumption
 
 
 </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>
 6
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 No previous leadership experience
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 1+ year of previous leadership experience
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Decision Quality
 </li>
 <li>
 Collaborates
 </li>
 <li>
 Drives Engagement
 </li>
 <li>
 Ensures Accountability
 </li>
 <li>
 Plans and Aligns
 </li>
 <li>
 Communicates Effectively
 </li>
 <li>
 Customer Focus
 </li>
 <li>
 Develops Talent
 </li>
 <li>
 Drives Results
 </li>
 <li>
 Manages Conflict
 </li>
 </ul>
</div>

Online Data Engineer Manager

The Coca-Cola Company

<div><div>Position Overview: 
The Manager Procurement Information Technology role is critical to driving Strategic Ingredient Supply (SIS) operations through data-driven insights, AI-enabled solutions, and modern cloud architecture. You will own the end-to-end development of scalable data pipelines, web-based tools, and advanced analytics solutions, working closely with the SIS data team and category managers to deliver actionable insights.</div><div><div><div><div><div><div><div><div><div>
Key Responsibilities:<ul><li>
Own the collection, analysis, and governance of procurement and supply chain data from diverse sources, ensuring data quality and integrity across the organization.</li><li>
Develop and maintain reporting tools, dashboards, and web-based applications (Django) to provide actionable supply chain insights and self-service analytics capabilities.</li><li>
Build and maintain data pipelines within Azure Synapse Analytics and integrate information into visualization platforms such as Power BI.</li><li>
Perform in-depth operational, financial, and cost model analyses to inform procurement strategies and decisions.</li><li>
Provide ad-hoc data and analysis to support procurement partners&rsquo; business needs.</li><li>
Communicate and collaborate effectively with internal stakeholders and external partners, serving as a subject matter expert on data, analytics, and AI capabilities.</li><li>
Champion digital transformation initiatives, including AI/ML adoption and cloud migration strategies, and share best practices through training and documentation.</li><li>
Gather industry and competitive intelligence to support strategic purchasing decisions.</li><li>
Protect company and partner information, ensuring compliance with confidentiality standards.</li></ul>
Skills and Requirements:<ul><li>
Proficiency in Power BI, SAP, and advanced Excel (pivot tables, charts, Power Query).</li><li>
Strong skills in handling, cleaning, merging, and manipulating large datasets.</li></ul><ul><li>
Strong SQL skills (T-SQL / SQL Server); experience writing complex queries, CTEs, views, and stored procedures.</li><li>
Hands-on experience with Azure cloud services: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage and/or CI/CD pipelines.</li><li>
Programming experience is highly desirable with preference for Python, PySpark and Databricks, including DataFrame operations, Spark SQL, and Delta Lake.</li></ul><ul><li>
Knowledge of web application development using the Django framework, including REST API design and deployment on Azure Cloud infrastructure.</li><li>
Familiarity with AI technologies, including LLM inference, prompt engineering, RAG pipelines, and designing agentic AI systems for business process automation. Experience is preferred.</li><li>
Experience in data modeling.</li><li>
Excellent attention to detail and strong analytical and communication skills.</li><li>
Understanding of business metrics, performance measurement, and optimization tools.</li></ul>
Educational Background:<ul><li>
Bachelor&rsquo;s degree required; Master&rsquo;s degree preferred. (Preference for quantitative, engineering disciplines, Computer Science, Artificial Intelligence, or Data Science such as Operations Management, Decision Sciences, Business Analytics, Industrial Engineering, Supply Chain, or Logistics).</li></ul>
Professional Experience:<ul><li>
Minimum 5&ndash;7 years of experience in data analytics, data engineering, AI/ML implementation, web development, cloud architecture, procurement, supply chain, or logistics.</li></ul>
Why Join Us?<ul><li>
Opportunity to shape the data and AI strategy using cutting-edge cloud and analytics technologies.</li><li>
Collaborate with cross-functional teams and influence strategic procurement decisions.</li><li>
Contribute to operational improvements and the company&rsquo;s continued global success.</li><li>
Total Rewards: Our benefits, called Total Rewards, is about the total value of working at The Coca-Cola Company. It is focused on the complete package of pay, benefits, learning and personal support you receive as a Coca-Cola employee.</li></ul>
If you meet these requirements and are passionate about leveraging AI and cloud technologies to turn data into strategic insights that drive business decisions, we encourage you to apply!</div></div></div></div></div></div></div></div></div>
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.
Agentic Design, Agentic Design, AI Agents, Analytical Thinking, Azure Data Factory, Azure Data Lake, Azure Pipelines, Business Optimization, CI/CD, Collaboration, Critical Thinking, Data Analytics, Databricks Platform, Data Cleansing, Data Frames, Data Modeling, Dataset Management, Detail-Oriented, Django Web Framework, Excel Query, Generative AI Agents, Large Language Models (LLMs), Microsoft Azure, Microsoft Cloud, Microsoft Excel {+ 9 more}
Pay Range:
United States of America: 124,600 USD - 148,200 USD
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
June 18, 2026
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws. 
 
Pay Range:United States of America: 0 USD - 0 USD 
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. 
 
Annual Incentive Reference Value Percentage:15 
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. 
 
Long-term Incentive Reference Value Percentage:0 - 20 
Long-term Incentive reference value is a market-based competitive value for your role.</div>

Manager, Procurement Information Technology

Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science 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 collaborate with other 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: 40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project 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 15% 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 establish high level strategy and optimize talent management 20% 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 Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports &amp; manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Apply End Date: 06/12/2026

Data Science Manager

Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists, technical experts, and people leaders focused on improving customer and delivery experiences through AI, machine learning and agentic solutions. This role is accountable for identifying, developing, and scaling intelligence-driven capabilities that proactively prevent customer issues, improve resolution experiences, optimize operational outcomes, and create measurable business value. This leader will partner closely with Product, Engineering, Analytics, Operations, and Customer Experience teams to translate business opportunities into scalable data science and AI solutions. Areas of focus may include proactive issue prevention, customer journey optimization, conversational AI, intelligent decisioning, delivery experience, and agentic workflows that drive both customer satisfaction and operational efficiency. This role is expected to identify new opportunities, shape strategic roadmaps, influence senior leaders, and communicate complex technical concepts to both technical and non-technical audiences. Additionally, this leader will collaborate across Data Science teams to align strategies, share best practices, and develop talent. Success in this role requires strong business acumen, technical depth, cross-functional leadership, relationship building, and the ability to connect data science investments to meaningful customer and business outcomes. Key Responsibilities: 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 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 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 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 Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 10+ years of experience in data science, machine learning, AI, business intelligence, and analytics Previous people leadership or project team management experience Experience designing and operationalizing AI, machine learning, or intelligent decisioning solutions that drive customer, operational, or business outcomes Mastery running queries against large-scale datasets (preferably with SQL) Experience working with structured and unstructured data, including customer interactions, conversational data, text, or other customer experience signals Proficient in advanced AI and prescriptive modeling techniques such as optimization, generative AI, agentic workflows, or intelligent automation Strong ability to communicate technical concepts and business value to both technical and non-technical audiences Experience partnering with Product, Engineering and Business stakeholders to develop and scale data science solutions Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Senior Manager, CX and Delivery Data Science

Position Purpose: The Associate Media Manager is responsible for supporting the planning of omni-channel campaigns and executing and optimizing in-house addressable channel components of those campaigns. Responsibilities include implementation of campaigns and their objectives, strategies and tactics; and stewardship of omni-channel plans in conjunction with marketing goals. Position oversees management of campaign activations and supports the reporting process. Key Responsibilities: 45% Campaign Management - Manage some components of addressable channel campaigns directly, implementing larger strategy into each plan, including bidding, targeting, channel unit/ad creation, etc. with autonomy; Help to develop and support test &amp; learn agendas; Track and ensure channel performance standards are met or exceeded 40% Channel Management - Support omni-channel planning, buying/activating and reporting for all programs and campaigns with autonomy, ensuring larger strategy is implemented as part of each program and/or campaign; Involved in agency and partner management and integration into workflows 15% Organizational Alignment - Build relationships and handle communications and feedback loops with key internal and external stakeholders, including channel and platform partners, agencies, etc; Ensure best practices are utilized/shared; Act as an informal leader and mentor within the channel organization Direct Manager/Direct Reports: This position typically reports to Manager or Media/Sr. Manager of Media This position has 0 Direct Reports Travel Requirements: No travel required. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 3+ years of experience actively managing and implementing large omni-channel digital programs and budgets at an agency and/or large retailer Previous experience with retail websites and analytics Previous experience working with large established digital properties such as Google, Youtube, Bing, Yahoo, Facebook experience with newer properties such as Pinterest and Twitter a major plus Solid understanding of technical pieces of digital marketing such as website analytics, audiences, data feeds, tracking codes, etc. Presentation and writing skills Minimum Education: 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. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented Collaborates Drives Engagement Communicates Effectively Customer Focus Drives Results Manages Conflict

Associate Media Manager - Orange Apron Media

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in predictive modeling, data mining and data analysis</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
3</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist - Network Strategy

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