accounting & back office operations manager

financial analyst

manager, benefits innovation Jobs in Atlanta

manager, benefits innovation

senior business analyst

accounting & back office operations manager Jobs in Atlanta

accounting manager

business insight and analytics manager

The Home Depot

<div>Position Purpose:
The Sr. Manager Decision Analytics position leads the Insights and Reporting functions for Store Operations and Services divisions. This role works closely with the Director within Decision Analytics in defining the analytical strategy and approach for projects and processes and effectively manage talent. The role works cross-functionally with business partners from across Store Operations, Services, Product and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing analytical and reporting platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency for solutions and recommendations. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</li><li>
This position has 2-3 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's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Eight or more years of experience in analytics or business intelligence is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</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>
6</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>

Senior Manager Decision Analytics - Insights & Reporting

<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 AI Strategy &amp; Transformation Lead is responsible for driving execution of the Enterprise &ldquo;Project Orion&rdquo; strategy, including Enterprise Data Products, GenBI, and Semantic / Intelligence Layers, while supporting and accelerating AI adoption within the Decision Analytics organization. This role acts as a horizontal integrator and operator, ensuring work across teams is aligned, clearly articulated, and tied to business value. In addition to the Project Orion focus, this role is expected to help accelerate organizational impact by building programs that upskill the organization, capture and celebrate value, and create a single, cohesive view of priorities across the organization.
The successful candidate will possess a deep working knowledge of Data Science, including an understanding of GenBI and AI applications and agentic workflows, along with a passion for technology, analytics, communication, and cross‑functional collaboration. 
Key Responsibilities:<ul><li>
60% Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions</li><li>
25% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Director.</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>
8+ years working in Data Science and Analytics or consulting in similar spaces with a strong working and/or applied knowledge in Data Science, Analytics, AI (GenBI) or similar</li><li>
Strong business acumen, experience in Retail is a strong plus and ability to assess business impacts &amp; value</li><li>
Proven ability to work autonomously &amp; create value in an unstructured &amp; evolving role</li><li>
Proven ability to distill complex concepts for executive audiences</li><li>
Proven ability to manage &amp; influence without authority</li><li>
Proven ability to build &amp; execute on complex, cross-functional roadmaps</li><li>
Excellent verbal and written communication skills; including a passion for PowerPoint / storytelling</li><li>
Passion for Data Science &amp; Analytics and AI</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>
6</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. Manager, Decision Analytics - AI Strategy & Transformation

<div><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> 
Apply End Date: 04/28/2026</div>

Sr. Manager Data Analytics

<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

<div>Position Purpose:
Supply Chain Economics owns the logic and data products that bridge supply chain operations with finance. This suite of datasets, analytics and models are key for financial processes, operational initiatives, merchant allocations and more. The team aims to continue to modernize its data products and provide insights into the costs and operational levers of The Home Depot's supply chain. 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 - Decision Analytics, Supply Chain Economics

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
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>
Strong background in Business Intelligence (BI) and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><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 - GenBI

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