associate data engineer

data analyst

data scientist - pro

senior data analyst, solutions strategy Jobs in Atlanta

senior data analyst, solutions strategy

sr. data analyst, data quality Jobs in Atlanta

sr. data analyst, data quality

associate data scientist

Jerry

<div><div><div><b>Why </b><b>Jerry.ai</b></div><ul><li><div>
Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li><li><div>
Impact millions of users experience with car maintenance and auto insurance</div></li></ul><p></p><p><b>
   About the opportunity</b></p><p>
We are looking for a <b>detail-obsessed Applied Data Scientist</b> to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions.</p><p></p><p>
This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.</p><p></p><p>
   <b>How you will make an impact</b></p><ul><li><div><b>
Model Ownership: </b>Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges</div></li><li><div><b>
Data Quality: </b>Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies</div></li><li><div><b>
Problem Investigation: </b>Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy</div></li><li><div><b>
Cross-Functional Collaboration: </b>Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models</div></li><li><div><b>
Documentation: </b>Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions</div></li></ul><p></p><p><b>
   Who You Are</b></p><ul><li><div><b>
Obsessed with Details:</b> You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable</div></li><li><div><b>
A Strategic Thinker:</b> You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time</div></li><li><div><b>
Proactive &amp; Persistent:</b> You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution.</div></li><li><div><b>
Curious &amp; Adaptive: </b>You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems</div></li></ul><p></p><p><b>
   Requirements</b></p><ul><li><div><b>
Education:</b> Bachelor&rsquo;s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)</div></li><li><div><b>
Programming:</b> Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation</div></li><li><div><b>
Data Quality: </b>Hands-on experience with data cleaning techniques and data validation frameworks</div></li><li><div><b>
Tooling: </b>Familiarity with data visualization tools to help identify and communicate data issues</div></li></ul><p></p><p><i>
While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p><p></p><p><i>
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p><p></p><p><i>
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p><p></p><p><b>
About Jerry.ai:</b></p><p>
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p><p></p><p>
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p><p></p><p>
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p><p></p><p>
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p></p><p>
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

Associate Applied Data Scientist

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Malvern, PA (Onsite/Hybrid)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><div>We are looking for a highly experienced <b>AWS Data Scientist</b> with deep expertise in <b>Artificial Intelligence (AI), Machine Learning (ML), and advanced Python programming</b> to build and deploy scalable, cloud-native analytics solutions on AWS. The role requires hands-on experience across the full data science lifecycle and close collaboration with business and engineering teams.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h2>
</div><div><ul><li>Minimum <b>8+ years of experience</b> in Data Science, AI, or Machine Learning</li>
<li><b>Strong hands-on expertise in AI &amp; ML</b>, including supervised and unsupervised learning, NLP, or deep learning</li>
<li><b>Advanced Python programming skills</b>, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch</li>
<li>Extensive experience with AWS, especially <b>SageMaker, S3, Redshift, Glue, Athena, Lambda</b></li>
<li>Strong foundation in statistics, predictive modeling, and ML algorithms</li>
<li>Proficiency in SQL and experience with data visualization techniques</li>
<li>Excellent communication and stakeholder management skills</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Design, develop, and deploy AI/ML models and data science solutions on AWS</li>
<li>Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR</li>
<li>Perform advanced data analysis, feature engineering, model training, and optimization using Python</li>
<li>Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift</li>
<li>Implement MLOps practices for model deployment, monitoring, retraining, and version control</li>
<li>Translate complex business problems into AI/ML-driven solutions</li>
<li>Ensure adherence to data security, governance, and compliance standards</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>AWS Certifications (Machine Learning &ndash; Specialty or Solutions Architect)</li>
<li>Experience with big data technologies such as Spark</li>
<li>Exposure to real-time or streaming data pipelines</li>
<li>Background in financial services or regulated industries</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: $80786 - 90892</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><br>
<p></p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><br>
<p></p><p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><br>
<p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div><p></p>

AWS Data Scientist

Cargill

<div>
 Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
 <br/>
 <br/>
 Our 155,000 team members innovate with purpose, providing customers with life&rsquo;s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing&mdash;today and for generations to come.
 <br/>
 <br/>
 Job Purpose and Impact
 <br/>
 <br/>
 The Associate Professional, Data Engineering job assists with the design, building and maintenance of routine data systems that enable data analysis and reporting. Under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.
 <br/>
 <br/>
 Key Accountabilities
 <br/>
 <br/>
 <ul>
  <li>
   DATA &amp; ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud based technologies, supporting scalable, sustainable and robust designs.
  </li>
  <li>
   DATA PIPELINES: Collaborates with the development of basic streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  </li>
  <li>
   DATA SYSTEMS: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.
  </li>
  <li>
   DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.
  </li>
  <li>
   DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.
  </li>
  <li>
   STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.
  </li>
  <li>
   DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.
  </li>
  <li>
   AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  </li>
  <li>
   DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.
 <br/>
 <br/>
 Professional experience with many/most of the following is preferred:
 <br/>
 <br/>
 <ul>
  <li>
   SQL, Python, relational databases
  </li>
  <li>
   GIT, CI/CD, Dev Ops
  </li>
  <li>
   ETL
  </li>
  <li>
   Linux
   <br/>
   <br/>
  </li>
 </ul>
 The business will not sponsor visas for this position. This role is based out of our Atlanta, GA office and relocation will not be provided.
 <br/>
 <br/>
 Equal Opportunity Employer, including Disability/Vet.
 <br/>
 <br/>
</div>


Associate Data Engineer

<div><p>Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.<br>
Our 155,000 team members innovate with purpose, providing customers with life&rsquo;s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing&mdash;today and for generations to come.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Purpose and Impact</b></h2>
</div><div><p>
The Associate Professional, Data Engineering job assists with the design, building and maintenance of routine data systems that enable data analysis and reporting. Under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud based technologies, supporting scalable, sustainable and robust designs.</li><li>
DATA PIPELINES: Collaborates with the development of basic streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>
DATA SYSTEMS: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.</li><li>
DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.</li><li>
DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.</li><li>
STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>
DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.</li><li>
AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.</li><li>
DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2>
</div><div><p>
No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.</p><p></p><p><br>
Professional experience with many/most of the following is preferred:</p><div><ul><li><p>
SQL, Python, relational databases</p></li></ul></div><div><ul><li><p>
GIT, CI/CD, Dev Ops</p></li></ul></div><div><ul><li><p>
ETL</p></li></ul></div><div><ul><li><p>
Linux</p></li></ul><p>
The business will not sponsor visas for this position. This role is based out of our Atlanta, GA office and relocation will not be provided.</p><p></p><p><br>
#LI-NS7</p></div></div></div></div><p>
Equal Opportunity Employer, including Disability/Vet.</p></div>

Workday

<div>
 <strong>
  Your work days are brighter here.
  <br/>
  <br/>
 </strong>
 We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Are you passionate about building data products that solve problems across an entire company? We are a cross‑functional team of Data Analysts who partner with product, sales, operations, and business leaders to design and deliver data products that drive better decisions at scale. As a Sr. Associate Data Analyst, you will work across domains and functions to understand business needs, shape data product requirements, and turn complex data into reliable, intuitive solutions and insights for stakeholders.
 <br/>
 <br/>
 You&rsquo;ll collaborate closely with colleagues who deeply understand Workday&rsquo;s data, systems, and business processes, giving you opportunities to develop strong foundations in analytics, data modeling, and product thinking. This role is a great fit if you enjoy learning new domains, working with diverse partners, and seeing your work embedded in reusable data products that power decisions across the company.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Workday is looking for a
 <strong>
  Associate Data Analyst
 </strong>
 with a passion for cross‑functional collaboration and building scalable data products. In this role, you will use your analytical thinking, business analysis skills, and technical toolkit (including SQL and modern analytics tools) to analyze complex business problems using data from internal and external sources, and to translate those needs into well‑designed, reusable data assets.
 <br/>
 <br/>
 You&rsquo;ll partner with stakeholders across multiple organizations to:
 <br/>
 <br/>
 <ul>
  <li>
   Understand their objectives and pain points,
  </li>
  <li>
   Define shared metrics and data requirements,
  </li>
  <li>
   Co‑design data products (datasets, models, reports, and dashboards) that can be used broadly rather than as one‑off solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with cross‑functional stakeholders (e.g., product, sales, finance, HR, operations) to identify, define, and clarify business problems and opportunities, and translate these into clear data product requirements.
  </li>
  <li>
   Analyze datasets from Workday and other systems to identify trends, patterns, and drivers that inform the design of scalable data products and shared metrics.
  </li>
  <li>
   Design and iterate on reusable data assets (e.g., curated datasets, semantic layers, standardized dashboards) that can support multiple teams and use cases, rather than one‑off analyses.
  </li>
  <li>
   Write and optimize SQL queries to extract, join, and validate data from relational sources, ensuring performance, reliability, and alignment with our data models.
  </li>
  <li>
   Use data analysis tools and visualization platforms to build intuitive, self‑service reporting and analytics experiences that empower stakeholders to answer their own questions where appropriate.
  </li>
  <li>
   Apply strong Analytical Thinking and Problem Analysis to break down complex, ambiguous questions into structured problems with clear hypotheses, methods, and success criteria.
  </li>
  <li>
   Demonstrate Business Acumen by understanding how different functions operate, how their metrics relate, and how shared data products can create leverage across organizations.
  </li>
  <li>
   Contribute to Data Governance by helping define and document metrics, data definitions, and usage guidelines for data products, and by raising and tracking data quality issues with appropriate owners.
  </li>
  <li>
   Collaborate with analytics engineers, data engineers, and other analysts to align on data models, pipelines, and technical standards that support reliable data products.
  </li>
  <li>
   Participate in and sometimes facilitate cross‑functional design reviews, stakeholder workshops, and feedback sessions to refine data products and ensure they meet real user needs.
  </li>
  <li>
   Support testing and validation of new or updated data products, including sanity checks, reconciliation with source systems, and tracking issues through to resolution.
  </li>
  <li>
   Contribute to documentation, playbooks, and knowledge‑sharing so that data products are well understood and easy to adopt across teams.
   <br/>
   <br/>
  </li>
 </ul>
 Over time, you will deepen both your product and analytics capabilities, taking on more complex cross‑functional initiatives.
 <br/>
 <br/>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 Basic Qualifications
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of professional experience in a data‑focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst) working closely with stakeholders to solve business problems using data.
  </li>
  <li>
   Hands‑on experience writing and using SQL to query and manipulate data from relational databases or structured datasets.
  </li>
  <li>
   Experience with at least one data visualization / BI tool (e.g., Tableau, Power BI, Looker, or similar) to build reports or dashboards that are used by multiple stakeholders.
  </li>
  <li>
   Experience in Finances is a must.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solid understanding of relational data concepts and basic data modeling, including relationships, joins, aggregations, and how to structure data for analytics and reporting.
  </li>
  <li>
   Strong Analytical Thinking and Problem Analysis skills, with the ability to decompose complex, cross‑functional questions into smaller, answerable components and choose appropriate analytical approaches.
  </li>
  <li>
   Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data, and converting stakeholder needs into clear data or reporting specifications.
  </li>
  <li>
   Strong verbal and written communication skills, with the ability to explain data concepts, trade‑offs, and findings in a way that resonates with different audiences, from technical partners to business leaders.
  </li>
  <li>
   Experience with Python or R for data analysis, automation, or experimentation is a plus.
  </li>
  <li>
   Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.
  </li>
  <li>
   Demonstrated ability to collaborate effectively across multiple teams and levels, build trust, and influence through data and clear reasoning.
  </li>
  <li>
   Comfortable working in an iterative or agile environment, incorporating feedback, and adjusting as priorities and learnings evolve.
  </li>
  <li>
   Ability to maintain high standards of data integrity and confidentiality, and to support Data Governance practices in your day‑to‑day work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Workday Pay Transparency Statement
  <br/>
  <br/>
 </strong>
 The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here.
 <br/>
 <br/>
 Primary Location: CRI.Heredia
 <br/>
 <br/>
 Primary Location Base Pay Range: ₡20,170,400 CRC - ₡30,255,600 CRC
 <br/>
 <br/>
 Additional US Location(s) Base Pay Range: $79,800 USD - $141,700 USD
 <br/>
 <br/>
 <strong>
  Our Approach to Flexible Work
  <br/>
  <br/>
 </strong>
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
 <strong>
  spend at least half (50%) of our time each quarter in the office or in the field
 </strong>
 with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
 <br/>
 <br/>
 Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
 <br/>
 <br/>
 Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
 <br/>
 <br/>
 At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
 <br/>
 <br/>
 <strong>
  Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
  <br/>
  <br/>
 </strong>
 At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
 <br/>
 <br/>
 Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
 <br/>
 <br/>
 In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
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 ,
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</div>


Associate Data Analyst

Worldpay

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Please note: Sponsorship is NOT eligible for this role including OPT. Applicants must be a US Citizen or Green Card holder.
  <br/>
  <br/>
 </strong>
 <strong>
  Are you ready to write your next chapter?
  <br/>
  <br/>
 </strong>
 Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Data Scientist to join our ever evolving team and help us unleash the potential of every business.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Cincinnati, OH, Denver, CO, or Atlanta, GA office locations, hybrid schedule
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Own As The Data Scientist
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze and extract insights from internal and external data.
  </li>
  <li>
   Employ machine learning and statistical modeling to create and enhance data-driven products.
  </li>
  <li>
   Work with Big Data and transform complex datasets into more usable formats.
  </li>
  <li>
   Utilize a variety of data science tools and programming languages such as Python, R, and SQL.
  </li>
  <li>
   Work independently and collaborate with other groups to solve complex problems.
  </li>
  <li>
   Create and present analyses to internal and external partners and clients.
  </li>
  <li>
   Document models and write code to track and monitor models and product performance.
  </li>
  <li>
   Make pragmatic and business-aware choices when trading off sophistication and accuracy versus implementation and performance costs.
  </li>
  <li>
   Participate in project planning sessions, analyze requirements, and provide design recommendations for complex analytical systems.
  </li>
  <li>
   Other related duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Data Science, Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or an equivalent combination of education, training, and work experience.
  </li>
  <li>
   Proficient in data science tools and programming languages Python, R, and SQL
  </li>
  <li>
   Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.
  </li>
  <li>
   Experience or knowledge of cloud-based technology.
  </li>
  <li>
   Ability to collaborate with others and solve complex problems.
  </li>
  <li>
   Outstanding verbal and written communication skills to technical and non-technical audiences at all levels.
  </li>
  <li>
   Excellent analytical, decision-making, problem-solving, team, and time management skills.
  </li>
  <li>
   Positive outlook, strong work ethic, and responsiveness to internal and external clients and contacts.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 To learn more about our winning teams, check out our world-class teams that own it every day.
 <br/>
 <br/>
 <strong>
  What Makes a Worldpayer
  <br/>
  <br/>
 </strong>
 What makes a Worldpayer? It&rsquo;s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We&rsquo;re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we&rsquo;re determined, always staying open and winning and failing as one.
 <br/>
 <br/>
 Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
 <br/>
 <br/>
 Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $101,100.00-$152,550.00. This range reflects what we reasonably expect to offer based on the role&rsquo;s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate&rsquo;s experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.
 <br/>
 <br/>
 <strong>
  EEOC Statement
  <br/>
  <br/>
 </strong>
 Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
 <br/>
 <br/>
 If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
 <br/>
 <br/>
</div>


Data Scientist

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
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.<br>
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.</p><p><b><br>
Key Responsibilities:</b></p><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><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><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><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><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><p><b><br>
Minimum Education:</b></p><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><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><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><p></p>

Data Scientist - Decision Analytics, Supply Chain Economics

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Data Scientist - Decision Analytics, Supply Chain Economics