business intelligence analyst

The Coca-Cola Company

<div>Digital data products are central to how the NAOU Supply Chain plans, executes, and continuously improves end‑to‑end performance across sourcing, manufacturing, transportation, and customer fulfillment. Our Supply Chain Capabilities COE builds enterprise‑scale data products that create visibility, decision intelligence, and measurable business outcomes for planning, operations, and leadership across NAOU.
We are hiring a Senior Data Analyst to join our Supply Chain Digital Enablement Team. This role is embedded within empowered, cross‑functional product teams and partners closely with Product Managers, Data Engineers, Product Designers, and business stakeholders to translate complex supply chain data into trusted insights and scalable data products.<div></div>
About the Role
Senior Product Data Analysts are core contributors to the design, development, and adoption of supply chain data products. In this role, you will operate with a high degree of autonomy in complex, ambiguous problem spaces, helping teams understand operational performance, evaluate opportunities, and measure outcomes across the end‑to‑end supply chain.
You will lead sophisticated analyses, shape data models and metrics, and influence prioritization and trade‑offs by grounding decisions in data. Beyond executing analysis, you will help elevate analytical standards across the organization by modeling strong analytical practice, strengthening measurement discipline, and enabling self‑service insight for product teams and stakeholders.
This role is a strong fit for someone who thrives at the intersection of supply chain operations, data engineering, and analytics&mdash;turning complex, multi‑source operational data into clear insight, reliable reporting, and decision‑ready products.<div></div>
Responsibilities
Supply Chain Analytics &amp; Insight<ul><li>
Develop a deep understanding of end‑to‑end supply chain processes and data, including procurement, manufacturing, inventory, transportation, and customer fulfillment</li><li>
Analyze large, complex datasets to identify performance drivers, risks, trade‑offs, and improvement opportunities across planning and execution</li><li>
Translate operational and optimization data into actionable insights that inform product strategy, roadmap decisions, and business priorities</li><li>
Go beyond describing what happened to explain why it happened and what actions should follow</li><li>
Proactively surface insights that help teams focus on the highest‑value opportunities</li><li>
Informally mentor analysts and partners through collaboration, review, and shared best practices</li></ul>
Data Product Development &amp; Measurement<ul><li>
Partner with Product Managers and stakeholders to define product objectives, success metrics, KPIs, and outcome‑based measures</li><li>
Design and maintain analytical models, metrics, and business logic that support scalable data products and decision intelligence</li><li>
Support movement from static reporting toward reusable, trusted data assets and analytical products</li><li>
Advise on the appropriate level of analytical rigor based on decision risk, business value, and operational impact</li></ul>
Data Quality, Modeling &amp; Integration<ul><li>
Work closely with data engineering teams to define, validate, and evolve data models in Microsoft Azure</li><li>
Ensure analytical outputs are accurate, reliable, and aligned to supply chain process realities</li><li>
Act as a steward of data quality, metric definitions, and analytical assumptions across products</li><li>
Document data logic, metrics, and methodologies to support transparency, reuse, and auditability</li></ul>
Insight Communication &amp; Influence<ul><li>
Create dashboards, analytical views, and narratives that make complex supply chain data accessible and actionable</li><li>
Communicate insights clearly to technical and non‑technical audiences, including supply chain leaders</li><li>
Contribute to a data‑informed culture by raising analytical fluency across supply chain product teams</li><li>
Collaborate with other analysts, data engineers, and data scientists to align insight across domains</li></ul><div></div>
Tools &amp; Technologies
This role will actively use and support data products built on:<ul><li>
Microsoft Azure Synapse Analytics and Microsoft Fabric</li><li>
PySpark Notebooks for data exploration, transformation, and analysis</li><li>
Microsoft Azure Pipelines for analytics workflows and data product deployment</li><li>
SQL‑based analytics across large‑scale enterprise datasets</li><li>
Visualization and reporting tools such as Power BI</li></ul><div></div>
Key Qualifications<ul><li>
Bachelor&rsquo;s degree in analytics, statistics, economics, computer science, industrial engineering, supply chain, or a related quantitative field, or equivalent practical experience</li><li>
5+ years of experience in data analysis, analytics, or business intelligence supporting complex operational or supply chain domains</li><li>
Strong experience working with large, complex, multi‑source datasets demonstrating proficiency in Microsoft Azure tools including Synapse, Fabric, PySpark Notebooks, and SQL</li><li>
Extensive experience working with supply chain data from systems such as SAP S/4HANA (e.g., procurement, inventory, planning, manufacturing, order‑to‑cash), Oracle Transportation Management (OTM), Manufacturing Execution Systems (MES), and other supply chain systems</li><li>
Strong understanding of how transactional supply chain data translates into operational KPIs, performance metrics, and decision support</li><li>
Experience with modern data product and product operating model concepts</li><li>
Proven ability to influence decisions through data and clear communication</li><li>
Strong collaboration skills and experience working within cross‑functional product or platform teams</li></ul><div></div>
Preferred Qualifications<ul><li>
Master&rsquo;s degree in a related quantitative or supply chain field</li><li>
Experience supporting enterprise‑scale supply chain data platforms or analytics products</li><li>
Experience working with supply chain optimization, planning, or execution data</li><li>
Exposure to statistical methods or advanced analytics applied to operational data</li></ul><div></div>
Skills<ul><li>
Analytical Rigor: Breaks down complex operational questions into clear, structured analyses</li><li>
Supply Chain Acumen: Understands end‑to‑end supply chain processes and metrics</li><li>
Product &amp; Systems Thinking: Connects data insight to scalable data products and business outcomes</li><li>
Data Storytelling: Communicates insights with clarity through visuals and narratives</li><li>
Collaboration &amp; Influence: Builds trust across supply chain, product, and technology partners</li></ul>
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.
Agile Methodology, Business Process Modeling, Change Management, Cloud Platform, Communication, Data Flow Diagram, DevOps, Digital Transformation, Enterprise Architecture Framework, Microsoft Azure Databricks, Microsoft Office, User Experience (UX)
Pay Range:
United States of America: $164,000 - $193,000
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:
30
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.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
Yes
Job Posting End Date:
May 9, 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 - $0 
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:30 
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>

Senior Product Data Analyst - Supply Chain

Chenega Corporation

<div>Overview:
<div>
The Business Intelligence Manager coordinates the day-to-day actions of their assigned BI Team, consisting of junior BDIA&rsquo;s supporting PSSBU subsidiaries with business development activities. This role works in close collaboration with the Director of Business Intelligence to provide insight into all aspects of the business development lifecycle (Identification, Qualification, Research, and Capture), assists subsidiary Presidents with strategic growth initiatives, and provides guidance and support to assigned BIA&rsquo;s in the accomplishment of relevant BD activities. This position directly supports engagements with subsidiaries and supports the development of high-quality, timely capture, and business development intelligence to the highest priority business pursuits in the PSSBU enterprise. This is a dynamic role that is focused both externally and internally (and will support direct engagement with all Chenega PSSBU subsidiaries and their BD staff).</div><div></div><div> 
Work Location:
</div><div>2965 Flowers Rd S, Atlanta, GA 30341</div>
Responsibilities:
<ul><li>Collaborates with subsidiary Presidents and BI Director to understand strategic growth goals and objectives for assigned subsidiaries</li><li>
Works with BI Director to develop macro and micro-BI activities to achieve subsidiary growth objectives.
</li><li>Assigns and supervises day-to-day actions of junior BIA&rsquo;s (I &amp; II) in the execution of business development activities and production of high-quality deliverables</li><li>
Supports weekly subsidiary pipeline reviews (Sync&rsquo;s) and conducts audits to ensure pipeline compliance with BU&rsquo;s processes, quality assurance and data integrity</li><li>
Assists subsidiary Presidents and Strategic BD team in qualifying opportunities through collecting, interpreting, and presenting market, customer, and competitor intelligence.
</li><li>Interface with the BD team to identify, establish, and foster relationships with potential partners and agency contacts.
</li><li>Support the development and execution of market intelligence, capability matrices, partner identification, competitive analyses, and monitoring competitor activity in support of capture team initiatives.</li><li>
Actively engage with agencies, coalitions, organizations, and potential partners, understanding their needs and translating them into actionable BI strategies.
</li><li>Maintains team proficiency in the use of market intelligence/business development tools or other assets (SAM.gov, Deltek, BGOV, etc.), and Systems including GovWin IQ, Vantagepoint CRM, Past Performance Database, SharePoint</li><li>
Provide training and mentorship to members of the assigned BIA Team</li><li>
Conduct quality control reviews of deliverables such as RFI/Sources Sought responses, research projects, and other special requests.</li><li>
Conducts research and develops responses to MIOS HQ and subsidiary ad-hoc and other market intelligence requests.</li></ul>
Qualifications:
<div>
Minimum Qualifications: (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.)
</div><ul><li>Minimum of Five (3) years of experience conducting or supporting business development operations and functions within the federal government contracting space</li><li>
Experience utilizing federal BD tools such as SAM.gov, usaspending.gov, FPDS, Agency-level acquisition forecast tools, Deltek GovWin IQ</li><li>
Experience with Customer Relationship (CRM) or Pipeline Management systems such as Salesforce, Deltek VantagePoint, Pipedrive, or Hubspot</li></ul><div></div><div> 
Preferred Qualifications:</div><ul><li>
Bachelor&rsquo;s Degree in Business, Marketing, or a related field. Additional experience may be accepted in lieu of the degree requirement.</li></ul><div> 
</div><div>Knowledge, Skills and Abilities:</div><ul><li>
Must have the ability to work nights, weekends, and holidays as required.</li><li>
Must effectively communicate both through written and oral means.</li></ul><ul><li>
Experience in customer-facing roles or partnership management</li><li>
Strong planning skills, goal-oriented, task-driven, and enjoys being a part of a high-performing team</li><li>
Must possess the knowledge of tools and processes used to conduct research and analysis of federal government opportunities and the competitive landscape</li><li>
Must possess a thorough understanding of the Federal Defense/Civil contracting environment (customers, technology, business process, etc.).</li><li>
Must have knowledge of a variety of computer software applications (e.g. MSWord, Excel, Access, PowerPoint, MS Project), SharePoint, and Outlook. Experience with Microsoft Power BI or other analytics software is a plus.</li></ul>
Teleworking Permitted?: true</div>

Business Intelligence Manager

The Home Depot

<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

<div>Position Purpose:
The Sr Data Analyst, Pro Experience will serve as a key role supporting the Home Depot Pro strategic growth initiatives. As part of the Pro Experience team, the Sr Data Analyst will be responsible for owning individual analytical projects and team initiatives that involve analyzing data, designing pilot campaigns, building Tableau dashboards, and communicating findings effectively to partner teams.
This role is designed for individuals with advanced analytical skills who can leverage large data sets to drive actionable insights. The ideal candidate possesses a strong understanding of data visualization tools and statistical analysis techniques, demonstrating the ability to work independently as well as collaboratively within cross-functional teams
Key Responsibilities:<ul><li>
Establish reporting standards and best practices.</li><li>
Architect and implement a reporting framework.</li><li>
Oversee data mining efforts.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data.</li><li>
Collaborate with stakeholders, developers, UX designers and end-users to determine requirements.</li><li>
Data analysis, development of SQL scripts, stored procedures &amp; triggers, and report generation.</li><li>
Develop programs, methodologies, and files for analyzing and presenting data</li><li>
Data Cleansing/validation</li><li>
Prepare data load scripts for mass data load from various data sources</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li><li>
Use of varied database applications/analytical tools</li><li>
Enhancements/modifications to systems and procedures</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position Reports to Sr. Engineer or Sr. Manager</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.</li><li>
An intermediary understanding of SQL joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language such as Python</li><li>
Experience building reports/analyses with analytical tools (e.g. Excel, Tableau, etc.)</li><li>
Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)</li><li>
B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.</li><li>
Work experience with Google BigQuery.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
7</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Superior interpersonal skills and ability to collaborate actively and work in a team environment.</li><li>
Commitment to organized, high-quality deliverables.</li><li>
Ability to mentor colleagues on standards, best practices, and new technology concepts.</li><li>
Understanding of usability best practices and user design.</li><li>
Creative approach to problem solving, innovation, and issue resolution.</li><li>
Excellent verbal and written communication skills.</li><li>
Self-motivated and self-managed with a high degree of analytical ability and intellectual curiosity.</li></ul></div>

Sr. Data Analyst - Pro Experience

<div>Position Purpose:
The 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.
This role is based on‑site and requires full‑time, five‑day‑a‑week presence in the office. 
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, advanced analytics, and/or AI/ML fields.</li><li>
Experience designing, building, and maintaining scalable data pipelines to support ingestion, processing, and transformation from multiple sources (e.g., databases, APIs, streaming).</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient in Data querying (SQL/BQ) and visualization (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 traditional NLP is a plus.</li><li>
Familiarity or hands-on experience in designing, developing, and deploying autonomous AI agents or multi-agent systems using modern LLM orchestration frameworks.</li><li>
Experience with Retrieval-Augmented Generation (RAG) architectures, prompt engineering, and enabling LLMs with tool/function calling capabilities to interact with external APIs and databases.</li><li>
Understanding of evaluating, testing, and monitoring generative AI models and agents in production environments to ensure reliability, safety, and performance.</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 - Pro

<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

AT&T

<div><div>This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.</div><div><div><div><div><div><div><div><div><div>
Contribute to a connected, data-driven organization by transforming complex enterprise data into clear, actionable, and trusted insights.
As a Lead Data Analysis on the Compensation Enablement team, you'll build and sustain sourcing tables which enable seller compensation across all AT&amp;T Business segments. You&rsquo;ll streamline transmissions across data pipelines and provide Tier 3 support to system users.
This is a great opportunity to unlock revenue growth opportunities for leaders across Sales, Product, Operations, Finance, and HR. 
 
What you'll do:</div></div></div></div></div></div></div></div></div>
Typical tasks may include, but are not limited to, the following:<ul><li>
Data Collection and Processing: Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.</li><li>
Data Analysis and Interpretation: Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.</li><li>
Reporting and Visualization: Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.</li><li>
Discrepancy Resolution and Quality Assurance: Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.</li><li>
Analytical Tools: Includes SQL, PowerBI, Python, etc.</li></ul>
What you'll need:<ul><li>
Bachelor&rsquo;s degree (BS/BA) desired in Computer Science, Math, etc.</li><li>
5+ years of related experience.</li><li>
Certification is required in some areas.</li></ul>
What you'll bring:<ul><li>
An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge.</li><li>
Leads significant projects with strategic autonomy, influencing executive decisions.</li><li>
Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.</li></ul>
Supervisor:<ul><li>
No</li></ul> 
TCP Career Step Differentiator: Manages complex data movement and storage from multiple sources, and high-level analytics to solve business problems.
Our Lead Data Analysis earns between $130,700 - $196,100. Not to mention all the other amazing rewards that working at AT&amp;T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits<ul><li>
Medical/Dental/Vision coverage</li><li>
401(k) plan</li><li>
Tuition reimbursement program</li><li>
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)</li><li>
Paid Parental Leave</li><li>
Paid Caregiver Leave</li><li>
Additional sick leave beyond what state and local law require may be available but is unprotected</li><li>
Adoption Reimbursement</li><li>
Disability Benefits (short term and long term)</li><li>
Life and Accidental Death Insurance</li><li>
Supplemental benefit programs: 8critical illness/accident hospital indemnity/group legal</li><li>
Employee Assistance Programs (EAP)</li><li>
Extensive employee wellness programs</li><li>
Employee discounts up to 50% off on eligible AT&amp;T mobility plans and accessories,</li><li>
AT&amp;T internet (and fiber where available) and AT&amp;T phone</li></ul>
If you&rsquo;re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Apply today!
Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia, Dallas, Texas
Salary Range:
$116,700.00 - $196,100.00
It is the policy of AT&amp;T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&amp;T will provide reasonable accommodations for qualified individuals with disabilities. AT&amp;T is a fair chance employer and does not initiate a background check until an offer is made.</div>

Lead Data Analysis

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