associate data scientist - solutions strategy

data engineer

instructor senior analyst Jobs in Atlanta

instructor senior analyst

senior manager decision analytics Jobs in Atlanta

senior manager decision analytics

analytics engineer

associate data scientist - solutions strategy Jobs in Atlanta

senior software engineer analytics

The Home Depot

<div><div><div>Position Purpose:</div><div> 
The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands‑on in complex backend data engineering work. The role emphasizes reliability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.</div>
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</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 of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</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>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

<div>Position Purpose:
The Senior Data Analyst will play a pivotal role on the CX Analytics team supporting The Home Depot's Pro Product segment. This individual will transform complex data into compelling, actionable narratives that drive strategy and enhance end-to-end experience for Pro customers. Acting as a strategic partner, the Senior Analyst will partner closely with product managers, UX designers, engineers and business stakeholders to determine requirements and translate complex data into actionable insights that influence roadmap decisions. The ideal candidate is a hands-on analyst with advanced SQL expertise, strong Python and Tableau skills, and the ability to tell clear, compelling stories with data. This individual thrives in ambiguity, proactively identifies opportunities, and is enthusiastic about applying AI and advanced analytics to elevate how insights are generated and consumed. 
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 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>
Advanced proficiency in SQL for complex data extraction and manipulation.</li><li>
Strong experience with Tableau (or equivalent BI tools) for dashboarding and executive-ready reporting.</li><li>
Solid Python skills for data analysis, statistical modeling, or automation.</li><li>
Proven ability to translate data into clear, compelling stories tailored to non-technical audiences.</li><li>
Demonstrated enthusiasm for and understanding of AI applications in analytics.</li><li>
Strong problem-solving skills with the ability to work through ambiguity.</li><li>
Demonstrated success partnering with cross-functional stakeholders.</li><li>
High level of curiosity, ownership, and bias toward action.</li><li>
Previous experience in Customer Experience (CX) analytics, Product Analytics, B2B customers or a closely related field.</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>

Senior Data Analyst - CX Analytics (Pro Product)

<div>
 Req172924
 
 
 
 Position Purpose
 
 
 
 The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online 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 new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop.
 
 
 
 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 1 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 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

<div>Position Purpose:
The Sr Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role also works closely with the Director of Decision Analytics in defining the analytical strategy and approach for projects and processes. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online 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 new analytical platforms, and partnering with cross-functional teams to deliver high quality analytics solutions for The Home Depot. This role is expected to leverage effective storytelling skills to translate complex analyses into understandable insights, with a passion to learn and develop. 
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 1 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 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>

NiCE Actimize

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div>
Overview

We are hiring a Senior Data Engineer to support our engineering data initiatives while collaborating with teams across SLC and Pune. The Senior Engineer will work closely with the Lead Engineer and key partners across the organization to execute critical components of our data strategy.

Key Responsibilities
<ul>
<li>Develop, optimize, and maintain data pipelines and data platform components.</li>
</ul><ul><li>Implement solutions supporting data federation, semantic modeling, and data governance frameworks.</li>
</ul><ul><li>Collaborate with Engineering, Analytics, and Product teams to deliver highquality data assets.</li>
</ul><ul><li>Apply AIdriven tools to accelerate development and improve data quality and productivity.</li>
</ul><ul><li>Investigate and adopt emerging data technologies aligned with organizational strategy.</li>
</ul><ul><li>Operate independently and deliver consistent results within distributed team environments.</li>
</ul>
Required Technical Background 

<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience supporting or contributing to largescale data initiatives.</li>
</ul><ul><li>Strong selfdirection, problemsolving abilities, and eagerness to learn new technologies.</li>
</ul><ul><li>Solid communication and collaboration skills across remote teams.</li></ul></div><div> 
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

Senior Software Engineer,CX – Platform Data

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div>
Overview

We are seeking a highly skilled Lead Data Engineer to join our Engineering CX organization. This role will be based in Atlanta, GA and will collaborate closely with teams in Salt Lake City and Pune, maintaining reasonable overlapping hours. The Lead Data Engineer will guide major data initiatives, mentor engineers, and drive forward our evolving data strategy.

Key Responsibilities
<ul>
<li>Lead endtoend design and execution of largescale data engineering initiatives.</li>
</ul><ul><li>Partner closely with crossfunctional teams, including Engineering, Analytics, and Data Governance.</li>
</ul><ul><li>Architect robust data solutions aligned with the company&rsquo;s strategic direction in data federation, semantic layers, and data governance.</li>
</ul><ul><li>Ensure high reliability, performance, and scalability across all data platforms.</li>
</ul><ul><li>Provide technical mentorship and leadership to senior and junior data engineers.</li>
</ul><ul><li>Collaborate with product and engineering leadership (including VP-level stakeholders) throughout the hiring and delivery lifecycle.</li>
</ul><ul><li>Champion best practices, emerging technologies, and modern AIdriven development workflows.</li>
</ul>
Required Technical Background
<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul> 


Preferred Qualifications
<ul>
<li>Prior experience leading engineering teams or technical programs.</li>
</ul><ul><li>Demonstrated ability to design and implement enterprise-grade data solutions.</li>
</ul><ul><li>Strong learning orientation and enthusiasm for emerging technologies.</li>
</ul><ul><li>Ability to work independently and drive execution across distributed teams.</li></ul></div><div> 
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

Lead Software Engineer,CX – Platform Data

Realign

<div>Atlanta, Georgia 30033 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Description: Sr. QA Engineer with Tosca Exp</div><div>
Location: Atlanta, GA &amp; Mt Laurel Township, NJ</div><div>
Fulltime Permanent</div><div>
Job Description</div><ul><div>
Selecting or Identifying Areas/Test cases for Automation.</div><div>
Proficiency with Tricentis Tosca, including experience with modules, test cases, and test design.</div><div>
Experience with model-based testing concepts.</div><div>
Strong understanding of software testing principles, methodologies, and the software development lifecycle (SDLC).</div><div>
Design, develop, and execute automated test scripts using Tricentis Tosca.</div><div>
Create test case templates, modules, and libraries within the Tosca framework.</div><div>
Identify, document, and track defects, working with developers to resolve them.</div><div>
Collaborate with developers, product owners, and business analysts to understand requirements and improve software quality.</div><div>
Integrate Tosca with CI/CD pipelines and other development tools like Jenkins.</div><div>
Understand the fundamentals of Kubernetes and how to test applications deployed on AWS's managed Kubernetes service.</div><div>
Monitor test execution and report on test results.</div><div>
Participate in test planning and strategy sessions.</div><div>
Continuously improve automation frameworks and processes.</div><div>
Knowledge of DevOps practices.</div><div>
Experience with API testing and SQL is often required.</div><div>
Experience with Agile and BDD (Behavior-Driven Development) is beneficial.</div><div>
Strong analytical, problem-solving, and communication skills.</div><div>
Ability to work effectively in a team environment.</div><div>
Interacting with client to solve issues and update status.</div></ul><div>
Soft Skills</div><ul><div>
Good interpersonal skills in managing client.</div><div>
Good coordination with client &amp; offshore team.</div><div>
Team spirit</div><div>
Good written skills</div><div>
Good problem-solving techniques</div><div>
Ability to work with little to no supervision</div></ul>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. QA Engineer with Tosca Exp-7

Explore 424+ Senior software engineer analytics in Atlanta this March. Find roles across top companies and apply now to boost your career.

424 senior software engineer analytics jobs In Atlanta

Senior Software Engineer, Supply Chain Data & Analytics (Remote)

Senior Data Analyst - CX Analytics (Pro Product)

Senior Manager Decision Analytics

Senior Manager Decision Analytics

Senior Software Engineer,CX – Platform Data

Lead Software Engineer,CX – Platform Data

Sr. QA Engineer with Tosca Exp-7