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sr. data scientist – finance analytics, automation & ai (aaa) Jobs in Atlanta

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 Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. 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 Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, 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>
PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
</li><li>6+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Proficient 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>
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><li>
Demonstrated proficiency 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>
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>

Sr. Data Scientist – Finance Analytics, Automation & AI (AAA)

<div>
 Req174165
 
 
 
 Position Purpose
 
 
 
 The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. 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 Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, 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>
 PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
 </li>
 <li>
 6+ years of experience in business intelligence and analytics
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Proficient 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>
 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>
 <li>
 Demonstrated proficiency 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>
 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>

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
The Mailchimp Customer Success (CS) Data Science &amp; Analytics team empowers exceptional customer experiences across digital and expert-led channels by delivering insights, experimentation, and predictive analytics that drive measurable business impact. We partner closely with Customer Success, Product, Data Engineering, and Operations teams to improve customer engagement, retention, and long-term success for Mailchimp&rsquo;s small and mid-market customers.
As a Senior Data Scientist, you will be a highly independent individual contributor responsible for driving end-to-end analytical work on high-impact Customer Success initiatives. You will apply strong analytical judgment, experimentation, and modeling skills to help teams understand what works, why it works, and how to improve outcomes across the customer lifecycle. 
This role is ideal for a data scientist who thrives in ambiguous problem spaces, enjoys partnering closely with stakeholders, and wants to deepen their impact through Customer Success data science at scale. 
Responsibilities
Own and execute end-to-end analytical projects that support Mailchimp Customer Success initiatives, from problem framing to insights and recommendations.
Partner with Customer Success, Product, and Operations stakeholders to define success metrics, evaluate program effectiveness, and guide data-informed decisions.
Design, run, and interpret experiments, including A/B tests and quasi-experimental analyses, to measure the impact of CS programs and interventions.
Develop analytical models and customer insights that inform engagement, retention, customer health, and support effectiveness.
Analyze large, complex datasets to uncover trends, risks, and opportunities across the customer lifecycle.
Create clear, actionable narratives and visualizations that communicate findings to technical and non-technical audiences.
Contribute to scalable measurement solutions and reusable analytical assets in partnership with Data Engineering.
Support data quality, metric consistency, and documentation efforts, especially during platform or data migrations.
Collaborate with AI/ML and Product teams to evaluate the impact of AI-enabled customer experiences. 
Role-model Intuit&rsquo;s &ldquo;Win Together&rdquo; value through strong cross-functional collaboration and knowledge sharing. 
Qualifications
4&ndash;7 years of experience in data science, analytics, or product analytics, with demonstrated ownership of impactful analytical projects.
Strong foundation in statistics and experimentation, including experience designing and interpreting A/B tests and observational analyses.
Proficiency in SQL and Python for data analysis and modeling (e.g., pandas, numpy, scikit-learn, statsmodels).
Experience working with large datasets and translating analysis into actionable business insights.
Ability to operate independently while partnering effectively with cross-functional stakeholders.
Strong communication skills, with the ability to explain analytical results clearly and concisely.
Bachelor&rsquo;s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or related); advanced degree a plus.
Preferred:
Experience in SaaS, fintech, marketing technology, or SMB-focused products.
Familiarity with Customer Success or go-to-market analytics (e.g., churn, retention, customer health, lifecycle engagement).
Experience with causal inference techniques beyond basic experimentation (e.g., matching, DiD).
Familiarity with BI and visualization tools (e.g., Tableau, Looker, Power BI).
Experience building reusable analytical workflows and working with version control (git). 
Exposure to AI/ML or LLM-enabled analytics or customer-facing use cases. 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
New York $ 160,000.00 - 216,500.00</div>

Mailchimp Customer Success - Senior Data Scientist

<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:
A Workforce Systems Sr. Analyst uses analytical methods and a variety of tools to understand, predict, improve and/or control supply chain operations and processes. Sr. Analysts are responsible for data management, analyzing performance, identifying problems, and developing recommendations that support supply chain initiatives. 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 Workforce Systems 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 supply chain organization, and able to manage vendor/business relationships.<ul><li>Daily project activity coordination for multiple large-scale initiatives such as Labor Management System implementation and PEOPLE project support for (RDCs, DFCs, FDCs &amp; SDCs)</li><li>Performs development and implementation of process improvement opportunities associated with assigned projects</li><li>Performs analysis in support of requested business and systemic enhancements which will result in cost savings to the company</li></ul> 
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 Labor Management applications</li><li>
Experience with Six Sigma or other Process Improvement Methodology</li><li>
Proficient in: Gemini/CoPilot, 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, Google Big Query</li><li>
Project Management Skills</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
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 LOGISTICS ANALYST

<div><div>Position Purpose:
The Senior Analyst, Quantitative Research supports the Banner Pricing Team within Orange Apron Media by producing prescriptive analytics, quantitative business insights and actionable visualizations that enable executive decision-making around ad pricing, campaign budgeting and revenue optimization. The role requires the ability to frame business problems in analytical terms, rapidly distill actionable recommendations, and handle multiple conflicting priorities. Along with the required business context, the Senior Analyst will need to leverage Google BigQuery / Python for data manipulation and analysis and Tableau for dashboarding (as needed). Depending on the task assigned, the Senior Analyst will collaborate cross-functionally or operate independently, under limited supervision. 
Key Responsibilities:<ul><li>
20% Work with other departments providing analytical insight on business performance.</li><li>
20% Research and analyze business trends &amp; customer behavior data to identify opportunities for website enhancements.</li><li>
20% Analyze web analytics data as well as other offline data to evaluate site performance.</li><li>
10% Work with the Web Analyst to provide weekly Web Analytic dashboards.</li><li>
10% Takes the lead on new programs and initiatives for Web Analytics Team.</li><li>
10% Provide web analytics strategy to Specialty Channel.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to Sr Manager</li><li>
Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li><li>
No travel Required</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Responsible for helping others and providing on-the-job training or guidance</li><li>
Demonstrated business/financial modeling capabilities with tools such as Excel and Access</li><li>
Demonstrated skills in applying statistical analysis principles to business challenges</li><li>
Demonstrated communication and interpersonal skills</li><li>
Demonstrated ability to work well with others</li><li>
Strong analytical skills with attention to detail; self-starter</li></ul> 
Preferred Qualifications:<ul><li>
Prior experience with SQL, Python and Tableau</li><li>
Machine learning experience</li><li>
Analytical skills</li><li>
Presentation skills</li><li>
Strong communication skills</li><li>
Strong people skills</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div> 
Apply End Date: 04/29/2026</div>

Sr. Analyst - Quantitative Research

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