administrative assistant - association for clinical pastoral education (acpe)

senior data engineer

associate applied data scientist Jobs in Atlanta

associate applied data scientist

associate data analyst

associate data scientist

business immigration analyst (paralegal) Jobs in Atlanta

business immigration analyst (paralegal)

business data scientist

The Home Depot

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist

Position Purpose: The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. Key Responsibilities: 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 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 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 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 Direct Manager/Direct Reports: This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient utilizing statistical techniques to identify key insights that help solve business problems Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated experience in predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Data Scientist - Network Strategy

REPLY

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.</div>
<div></div>
<div>We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role requires both deep technical expertise and strong consulting skills to translate business needs into scalable solutions and communicate effectively with all stakeholders. You will help architect and deliver high-quality data solutions that drive measurable business value.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><div>
<ul><li>Work directly with clients to understand business goals, data challenges, and technical requirements.</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.</li>
<li>Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases.</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.</li>
</ul></div><h3 class="jobSectionHeader">Minimum Requirements</h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li> 6+ years of experience in data engineering, data platform development, or cloud data solutions</li>
<li> 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL</li>
<li>Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI .</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader">Preferred Qualifications</h3><div>
<ul><li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents</li>
<li>Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul></div><div><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
<div></div>
<div>Reply is an equal opportunity employer. We are committed to providing equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you need assistance or reasonable accommodation due to a disability during the application or recruiting process, email jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div> 
<div></div>
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Data Engineer

EyeSouth Partners

<div>Company Overview:
<div>
Headquartered in Atlanta, GA, EyeSouth Partners is an eye care physician services organization committed to partnering with leading physicians to build a premier network of eye care services in throughout the Southeast. EyeSouth&rsquo;s partner practices&rsquo; clinical mission is to provide high quality medical and surgical specialty eye care. EyeSouth supports its affiliated practices and physician partners with capital, administrative resources, operating expertise, and strategic guidance with an absolute focus on clinical quality and a patient-first culture.</div><div></div><div> 
EyeSouth&rsquo;s affiliate network consists of over 40 practices with 300+ doctors providing medical and surgical eye care services at over 175 clinic locations and 20+ ambulatory surgery centers throughout Georgia, Texas, Louisiana, Florida, Tennessee, Ohio, Kentucky, Alabama, Illinois, Pennsylvania, New York, North Carolina, and South Carolina.</div>
Position Summary:

We&rsquo;re looking for a curious, highly analytical, and detail-oriented Data Analyst who enjoys working with data, solving problems, and helping teams make smarter decisions. In this role, you&rsquo;ll use your SQL and Power BI expertise to transform complex data into clear, actionable insights that drive strategy and improve day-to-day operations. You&rsquo;ll collaborate closely with business partners, ensuring they have the information they need to move projects forward with confidence. The ideal candidate will be responsible for designing, developing, and maintaining data solutions that support business decision-making and operational efficiency. This role requires a proactive thinker who can translate raw data into actionable insights and communicate findings effectively across teams.
Responsibilities:
<ul><li>Design, write, and optimize complex SQL queries to extract, manipulate, and analyze large datasets from various sources.</li><li>
Build, enhance, and maintain Power BI dashboards and reports to visualize business performance and trends.</li><li>
Support Strategy BI Platform administration and operational processes</li><li>
Partner with stakeholders to understand business requirements and deliver data-driven solutions.</li><li>
Perform deep-dive analyses to identify patterns, trends, and opportunities for business growth and operational improvement.</li><li>
Ensure accuracy, integrity, and consistency of data through validation and quality checks.</li><li>
Experience working with relational databases and data warehouses.</li><li>
Support data governance initiatives, documentation, and process improvements.</li><li>
Provide ad-hoc reporting and analysis to support business questions as they arise.</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Data Analytics, Statistics, Computer Science, Information Systems, or a related field (or equivalent experience).</li><li>
Strong SQL skills with proven experience writing and optimizing queries for large and complex datasets.</li><li>
Hands-on experience with Power BI (or similar BI tools) for building dashboards, reports, and data models.</li><li>
Strong analytical and problem-solving skills with attention to detail.</li><li>
Experience working with relational databases and data warehouses.</li><li>
Strong communication skills&mdash;you can explain data insights to both technical and non-technical audiences.</li><li>
Ability to communicate complex findings clearly to both technical and non-technical audiences.</li><li>
Knowledge of data visualization best practices and performance optimization.</li><li>
Knowledge of cloud data platforms (Azure, AWS, Google Cloud).</li></ul>
Company Benefits:

We offer a competitive benefits package to our employees:<ul><li>
Medical</li><li>
Dental</li><li>
Vision</li><li>
401k w/ Match</li><li>
HSA/FSA</li><li>
Telemedicine</li><li>
Generous PTO Package</li></ul>
We also offer the following benefits for FREE:<ul><li>
Employee Discounts and Perks</li><li>
Employee Assistance Program</li><li>
Group Life/AD&amp;D
</li><li>Short Term Disability Insurance
</li><li>Long Term Disability Insurance
</li></ul>EyeSouth Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Senior Data and Reporting Analyst

Position Purpose: The Senior Analyst, Customer Data Enablement plays a key role in operationalizing data governance to improve how customer and marketing data is discovered, trusted, and reused across The Home Depot. This role partners with Data Product owners, Analytics, Marketing, and Technology teams to embed governance capabilities and standards into Foundational Data Products, Audience Governance, and enterprise data governance tooling. The Senior Analyst owns complex workstreams, drives standardization efforts, tooling &amp; process maturation, and supports federated stewardship models that enable scale without slowing the business. This role is ideal for a self-directed problem solver with high attention to detail who can translate business strategy into action and influence change across an organization. Key Responsibilities: 50% Lead all phases of a project's life cycle including defining the business need, establishing criteria and business requirements, understanding the impact to the business and designing and rolling out the project 25% Serve as a subject matter expert and perform research and/or analysis within assigned projects or category of business 25% Establish and report on metrics of assigned projects or categories to gauge business value Direct Manager/Direct Reports: Reports to Manager No associates report to this role on a permanent basis, but requires the technical leadership of a project work team: may select team members and assess capabilities, provide technical training, provide information necessary to meet work, project or program objectives, evaluate program or project performance. Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Experience applying enterprise data governance standards (metadata, stewardship, lineage) in production environments. Proven ability to operationalize governance through federated stewardship and enablement-focused models. Experience using data governance platforms (e.g., Collibra or similar) to manage metadata and standards at scale. Hands-on experience with customer or marketing data, including segmentation or audience-aligned use cases. Ability to translate complex governance concepts into clear, business-friendly language. Experience in data management and/or data governance Demonstrable experience in stakeholder management with both business and IT partners Demonstrated ability to initiate and self- manage complex projects Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Minimum Years of Work Experience: 3 Competencies: Strong project management skills, including strong process orientation, ability to work and lead cross functional teams, strategic thinking and creative problem solving skills. Analytical; Extensive knowledge of statistical methods and modeling Ability to establish priorities and procedures for accomplishing work within established deadlines; ability to lead multiple projects and manage toward deadlines and deliverables Strong communication and presentation skills, including ability to interact at Officer level; ability to negotiate and persuade Proven success in increasing management roles handling multiple projects with competing deadlines. Ability to assimilate extensive amounts of detailed data, analyze and summarize vast amounts of information as well as understand all of the detail supporting the analysis.

Senior Analyst, Customer Data Enablement

Position Purpose: The Senior Manager, Digital Content is the homedepot.com business partner to the merchants, marketers and IT for data and process management on the homedepot.com website. The Senior Manager develops long and short term strategy to optimize the efficiency of the digital content data management for homedepot.com. This role leads the Data Management team in the planning and execution of digital content data management operations for homedepot.com. This role coordinates with all internal and external customer and vendors to meet the deadlines, budget and strategic objectives of the Digital Content team. Manages, executes and impacts product display and cross selling in homedepot.com to support a Multi- Channel business environment. Key Responsibilities: 20% Partners with functional and operating business partners to drive overall business specific strategies. Key strategic themes focus on delivering consistent, repeatable processes to optimize product time to market, and operating effectiveness. 20% Develops short and long term strategic route map for the homedepot.coms product data management processes and systems. 20% Responsible for external resource management. Manages outside vendors to ensure execution of programs and tactics on time and within budget. Manages projects and the allotment of money to meet budgetary and segment goals. 10% Effectively executes all data management and promotion activities using metrics to track and improve performance 10% Develops and implements process and system improvements related to data management and operational activities. 10% Build strong relationships with business partners and actively support cross-functional initiatives to drive improved overall business performance; Coordinates and leads internal functions in the execution of data maintenance on homedepot.com. 10% Trouble shoots and problem solves for ongoing operational needs as they arise. Direct Manager/Direct Reports: This position reports to Director, Digital Content This position has 2-5 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Data and vendor management experience Process and project management experience Understanding of basic corporate financial practices and budget management Experience in Marketing and Ecommerce Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Experience as a team leader; ability to complete projects through a variety of different people in various departments who do not directly report to the team leader. Well-developed presentation skills (oral and written) computer skills required, specifically PowerPoint, Word and Excel. Ability to maintain composure and productivity in a dynamic environment Ability to be deadline oriented with long and short-term projects Ability to approach problems systematically, researching all alternatives and making appropriate recommendations

Sr. Manager, Digital Content

Ryder System

<div>Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) .
Job Description :
Summary
The Data Analyst II is a strategic contributor on Ryder's Supply Chain Solutions (SCS) Products &amp; Analytics team, supporting the Automotive &amp; Industrial (AAI) vertical. This role partners with operations, customers, and cross-functional teams to turn complex supply chain data into durable, reusable analytics products that drive measurable business outcomes &mdash; margin, labor, service, and operational performance.
Working on Ryder's modern data stack (Azure, Snowflake, Power BI, Copilot), the Data Analyst II designs persona-based dashboards and analytics solutions that solve once for many , rather than one-off reports. Over time, the analyst will become a domain expert in automotive and industrial supply chain operations.
AI is core to how this team works.
The Data Analyst II is expected to leverage AI daily to accelerate discovery, diagnose root causes, synthesize customer signals, and deliver insights faster and at scale. Success means owning outcomes end-to-end, making recommendations (not just executing tasks), and tying every initiative to a real business decision and a measurable result.
Essential Functions
<ul><li>Develop Dashboards by understanding business needs, interpret the integrated data and translate this into usable visualizations to drive business decisions, interpreting results and how to utilize the dashboards</li>
<li>Engage the business, evaluating their needs and ad-hoc requests to prioritize product efforts creating new innovative solutions.</li>
<li>Knowledge of the Ryder Business, understanding the complexity of the supply chain world and the role that data has within this ecosystem.</li>
<li>Enhance data maturity and integration to standardize the core value add functionality enabling a multiplier effect.</li>
</ul>Additional Responsibilities
<ul><li>Performs other duties as assigned.</li>
</ul>Skills and Abilities
<ul><li>Experience developing BI solutions with tools like:&bull; Power BI&bull; Tableau</li>
<li>Exposure using tools like:&bull; ETL tools (Alteryx or SSIS)&bull; Data manipulation tools (SQL)&bull; Object oriented development stacks (.net) (preferred)</li>
<li>Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms.</li>
<li>Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies.</li>
</ul>Qualifications
<ul><li>Bachelor's degree required Supply Chain, Data Analytics or equivalent.</li>
<li>Master's degree preferred Supply Chain, Data Analytics, MBA or equivalent</li>
<li>Two (2) years or more Applied Project(s) Experience: Experience in demonstrating, digital transformation, data management in an educational/project or intern type environment required.</li>
<li>Two (2) years or more 2-4 years' experience in creating dashboards for diagnostic analysis across the business. Experience working in a cloud environment a plus. preferred</li>
</ul>DOT Regulated: No
Job Category: Data Science &amp; Analytics
Our Culture &amp; Commitment :
At Ryder, you&rsquo;re trusted to make an impact&mdash;while enjoying room to grow and having a voice that&rsquo;s heard. Our culture is built on respect, collaboration, and shared pride in doing great work rooted in innovation and safety.
Your Voice. Your Success. The Future We Build Together.
Compensation Information :
The compensation offered to a candidate may be influenced by a variety of factors, including the candidate&rsquo;s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:
Pay Type :
Salaried
Minimum Pay Range:
80000
Maximum Pay Range:
105000
Benefits Information :
For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.
For more information about benefits, click here (https://ryder.icims.com/icims2/servlet/icims2?module=AppInert&amp;action=download&amp;id=4022345&amp;hashed=256118533) to download the comprehensive benefits summary.
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.
All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Important Note :
Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.
Security Notice for Applicants:
Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers .
Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com .
Current Employees :
If you are a current employee at Ryder, please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process.
Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) .
\#wd</div>

Data Analyst II (remote)

Explore 112+ Business data scientist in Atlanta this June. Find roles across top companies and apply now to boost your career.