associate data scientist

Jerry

<div><div><div>Why Jerry.ai</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>
 About the opportunity
We are looking for a detail-obsessed Applied Data Scientist 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.
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.
 How you will make an impact<ul><li><div>
Model Ownership: 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>
Data Quality: 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>
Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy</div></li><li><div>
Cross-Functional Collaboration: 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>
Documentation: Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions</div></li></ul>
 Who You Are<ul><li><div>
Obsessed with Details: 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>
A Strategic Thinker: 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>
Proactive &amp; Persistent: 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>
Curious &amp; Adaptive: 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>
 Requirements<ul><li><div>
Education: Bachelor&rsquo;s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)</div></li><li><div>
Programming: Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation</div></li><li><div>
Data Quality: Hands-on experience with data cleaning techniques and data validation frameworks</div></li><li><div>
Tooling: Familiarity with data visualization tools to help identify and communicate data issues</div></li></ul>
While we appreciate your interest and application, only applicants under consideration will be contacted.
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.
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 recruiting@jerry.ai
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.
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.
About Jerry.ai:
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.
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.
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.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.
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.</div></div>

Associate Applied Data Scientist

Deutsche Bank

<div>
 
 
 
 Job Description:
 
 
 
 
 
 Job Title:
 
 AFC Modelling &ndash; Data Scientist
 
 
 
 Corporate Title:
 
 Associate - Vice President
 
 
 
 Location:
 
 New York, NY
 
 
 
 
 
 
 Overview
 
 
 
 
 Group Strategic Analytics , GSA concentrates Deutsche Bank&rsquo;s quantitative and modelling expertise within a single unit. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving quantitative modelling, analytics scenarios, and rolls out common development standards.
 
 
 
 
 
 
 
 Modelling supports the Anti Financial Crime (AFC) function, which performs a crucial role in keeping Deutsche Bank&rsquo;s business operations and global financial services clean from financial crime while serving the interests of the Bank and society. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of: Anti-Money Laundering, Sanctions &amp; Embargoes, Anti-Fraud, Bribery &amp; Corruption, Investigations &amp; Intelligence, Monitoring &amp; Screening, and Risk Assessment.
 
 
 
 
 
 
 
 Our team will provide you with opportunities to learn, grow and define your career. We foster an open, diverse, and inclusive team culture, that is engaged and well-supported for prosperity and enjoyment of a life/work balance.
 
 
 
 
 
 
 
 What We Offer You
 
 
 <ul>
 <li>
 A diverse and inclusive environment that embraces change, innovation, and collaboration
 </li>
 <li>
 A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
 </li>
 <li>
 Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
 </li>
 <li>
 Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
 </li>
 <li>
 Educational resources, matching gift and volunteer programs
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Drive model implementation (from prototype to production), following rigorous coding, testing, and documentation best practice
 </li>
 <li>
 Responsible for Driving and execution of the Anti-Money Laundering (AML) Transaction Monitoring Americas data strategy in line with the Global Data Strategy/Framework
 </li>
 <li>
 Develop and evolve platform reporting statistics/data to monitor ongoing model success; perform 'deep dives' to interpret data quality issues, identify remediation and track to resolution
 </li>
 <li>
 Represent the group in various data governance forums, and clearly communicate data related issues and potential resolution paths
 </li>
 <li>
 Work with Business (1LOD) to understand the products being offered and define specifications/red flags for Transaction Monitoring models
 </li>
 <li>
 Review and address open AML TM findings in a timely fashion, work in partnership with AFC stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of Monitoring within the AFC function
 </li>
 </ul>
 
 
 
 
 
 How You&rsquo;ll Lead
 
 
 <ul>
 <li>
 Establish a clear vision and goals for the team, Inspire the team to perform well and achieve business goals; provide guidance and instruction to the team, and coach them as needed.
 </li>
 <li>
 Oversee daily activities and progress towards goals, and ensure the team is adequately equipped to perform their duties.
 </li>
 <li>
 Prioritize tasks and allocating tasks to the team accordingly. The role will be collaborating across multiple teams within the M&amp;S (Monitoring &amp; Screening) function.
 </li>
 </ul>
 
 
 
 
 
 Skills You&rsquo;ll Need
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science, Management Information System (MIS), Information Management, or equivalent
 </li>
 <li>
 Previous relevant experience conducting data science or Model Development in a business setting coupled with excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy)
 </li>
 <li>
 Experience in Financial Crimes space with expertise in AML Transaction Monitoring and Advisory, with a deep understanding of transaction monitoring data for various lines of businesses, AML red flags, and AML typologies.
 </li>
 <li>
 Proficient in Financial Crime Compliance covering multiple product lines, such as Correspondent Banking, Private Banking, Wealth Management, Brokerage, Trade, and Asset Management.
 </li>
 <li>
 Demonstrated experience in Relational databases, Structured Query Language (SQL), Big Data Hadoop, Hive Query Language (HQL), Data visualization tools.
 </li>
 </ul>
 
 
 
 
 
 Skills That Will Help You Excel
 
 
 <ul>
 <li>
 Flexible and able to adapt to urgent deliverable timelines
 </li>
 <li>
 A positive outlook in a goal-oriented organization
 </li>
 <li>
 Able to demonstrate excellent analytical, judgment, and research skills
 </li>
 <li>
 Meticulous with a strong attention to detail and the ability to multitask
 </li>
 <li>
 Able to interpret complex requirements and work proactively with stakeholders in different organizational units
 </li>
 </ul>
 
 
 
 
 
 Expectations
 
 
 
 
 
 
 It is the Bank&rsquo;s expectation that employees hired into this role will work in the New York City office in accordance with the Bank&rsquo;s hybrid working model.
 
 
 
 
 
 Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
 
 
 
 
 
 The salary range for this position in New York City is $110,000 to 252,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate&rsquo;s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
 
</div>

AFC Modelling - Data Scientist - Associate - Vice President

Delta Faucet Company

<div>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Your Role at Delta Faucet
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives. 
Responsibilities
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.<ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul> 
Qualifications<ul><li>
4+ years of experience in data science, advanced analytics, or applied machine learning roles.</li><li>
4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li>
4+ years of experience using Python for data analysis, modeling, and experimentation.</li><li>
4+ years of experience writing and refining complex SQL queries against large, structured datasets.</li><li>
3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li>
2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar).</li><li>
1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul>
Preferred Qualifications<ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul> 
Why Join Us?
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.
Here are some of the benefits we offer for your personal and professional growth:<ul><li>
Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li>
Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li>
Learning &amp; Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li>
Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><h2 class="jobSectionHeader">
Company: Delta Faucet Company</h2>
Full time
Hiring Range: $88,700.00 - $139,260.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Delta Faucet Company (the &ldquo;Company&rdquo;) is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English &amp; Spanish 
E-verify Right to Work Poster: English, Spanish
#LI-Remote</div>

Applied Data Scientist

Powers Health

<div><div><h2 class="jobSectionHeader">Job Description:</h2>
<h2 class="jobSectionHeader">The Associate Data Analyst provides analytical and reporting support across the Powers Health data ecosystem under the guidance of senior analysts and Data &amp; Analytics leadership. This role focuses on learning healthcare data structures, analytical tools, and reporting standards while supporting operational and strategic initiatives. The Associate Data Analyst assists with data collection, preparation, validation, and basic analysis to help transform raw data into meaningful insights. The role works closely with business stakeholders to understand data needs, contributes to dashboards and reports, and ensures data accuracy and consistency.</h2>
 Required Skills &amp; Qualifications:
<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, Economics, Health Informatics or a related field.
</li><li>0&ndash;2 years of experience in data analysis, reporting, or similar roles including internships or academic.</li>
</ul><ul><li>Proficient in Excel and other basic data analysis tools.</li>
<li>Working knowledge of SQL and relational databases.
</li><li>Exposure to data visualization tools such as Tibco Spotfire, Tableau, or Power BI.</li>
<li>Proficient in PowerPoint for summarizing analysis and supporting project updates.</li>
<li>Basic knowledge of statistical concepts and data manipulation techniques.</li>
<li>Familiarity with healthcare data (claims, patient, provider) is a plus.</li>
</ul><ul><li>Strong communication, documentation and collaboration skills.
</li></ul><ul><li>Detail-oriented with the ability to manage multiple tasks accurately and on time.</li> 
</ul>
 Your Extraordinary Career Starts Here
 We invite you to join our team of professionals where your unique talents will be well utilized in a work environment that promotes your further growth and development. In return for your valuable service and contributions, Powers Health offers a competitive wage and benefits package along with the necessary tools, resources, and mentoring opportunities to support your career advancement goals. 

Our comprehensive benefits program includes, but is not limited to:
<ul><li>Medical, dental and vision coverage</li>
<li>Wellness program, including free screenings</li>
<li>Healthcare and Dependent Care Spending Accounts (HSA)</li>
<li>Retirement savings plan</li>
<li>Life insurance</li>
<li>Disability income protection</li>
<li>Employee Assistance Program (EAP)</li>
<li>Fitness center discount program</li>
<li>Tuition assistance and career development</li>
<li>Paid Time Off (PTO)</li>
<li>Reward and recognition programs</li></ul> 

 Join our team of healthcare professionals at Powers Health. Apply today!</div> 

Location: Powers Health &middot; Data Analytics and Informatics 
Schedule: Full-time, Days, M-F Days</div>

Associate Data Analyst - DAI

Pella

<div>Associate Data Engineer
Urbandale, IA (hybrid)
The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that enable scalable, reliable analytics across customer experience, digital performance, and marketing functions. This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases.
This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness. While not embedded within a single function, the role plays a critical part in enabling these teams by delivering trusted, production-ready data that supports insight generation and decision-making across Pella.
In this role, you will:
<ul><li>Design, build, and maintain data pipelines that ingest data from digital, marketing, and enterprise systems into analytics platforms.
</li><li>Develop and manage data models that support analytics, reporting, and downstream use cases across Digital, Marketing, and Pro CX teams.
</li><li>Work closely with analysts, data scientists, and business partners to translate analytical requirements into scalable data solutions.
</li><li>Implement data transformations, validations, and quality checks to ensure data is accurate, consistent, and production-ready.
</li><li>Support analytics use cases by making data easily consumable for BI tools, dashboards, and advanced analytics.
</li><li>Partner with technology teams and vendors to integrate new data sources and evolve existing pipelines.
</li><li>Document data pipelines, models, definitions, and lineage to support data governance and reuse across the organization.
</li><li>Contribute to the ongoing improvement of Pella&rsquo;s analytics infrastructure, standards, and best practices.
</li>Assist in enabling the Digital, Marketing, and Pro CX teams by ensuring analytics data aligns with customer journeys, digital tools, and measurement frameworks. 
<li>
</li></ul>Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education and/or Experience
<ul><li>3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.
</li><li>Strong experience working with BigQuery or comparable cloud data warehouse technologies.
</li><li>Proficiency in Python for data transformation, automation, and pipeline development.
</li><li>Working knowledge of R for analytical or statistical workflows is preferred.
</li><li>Strong SQL skills, including complex joins, aggregations, and performance optimization.
</li><li>Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.
</li><li>Experience supporting analytics and BI tools such as Looker Studio and Power BI.
</li><li>Understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
</li><li>Experience collaborating with analysts and stakeholders to support data-driven decision-making.
</li>Ability to clearly communicate technical concepts to both technical and non-technical audiences. 
<li>
</li></ul>Preferred Experience
<ul><li>Experience with Google Analytics, Google Tag Manager, Salesforce, Fullstory, and other digital or customer data platforms.
</li><li>Familiarity with data governance, documentation, and metadata management.
</li><li>Exposure to cloud-based data ecosystems and modern analytics architectures.
</li><li>Experience supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-commerce.</li></ul></div>

Associate Data Engineer

Workday

<div>
 
 Your work days are brighter here.
 
 
 
 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.
 
 
 
 About The Team
 
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 Workday is looking for a
 
 Associate Data Analyst
 
 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.
 
 
 You&rsquo;ll partner with stakeholders across multiple organizations to:
 
 
 <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.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 Over time, you will deepen both your product and analytics capabilities, taking on more complex cross‑functional initiatives.
 
 
 
 About You
 
 
 
 Basic Qualifications
 
 
 <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.
 
 
 </li>
 </ul>
 
 Other Qualifications
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Workday Pay Transparency Statement
 
 
 
 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.
 
 
 Primary Location: CRI.Heredia
 
 
 Primary Location Base Pay Range: ₡20,170,400 CRC - ₡30,255,600 CRC
 
 
 Additional US Location(s) Base Pay Range: $79,800 USD - $141,700 USD
 
 
 
 Our Approach to Flexible Work
 
 
 
 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
 
 spend at least half (50%) of our time each quarter in the office or in the field
 
 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.
 
 
 Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
 
 
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</div>

Associate Data Analyst

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence, AGI Data Services

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