data analyst

data engineer

data scientist

senior data engineer

analyst, finance

data analytics analyst

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon&rsquo;s culture, and your work will have a direct impact on decision making and strategy for our organization. 
 
The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you! 
 
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Key job responsibilities 
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions. 
 
Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions. 
 
Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems. 
 
Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies. 
 
Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures. 
 
Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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, GA, Atlanta - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

<div>Make your mark for patients
We are looking for a Data Foundations Analyst who is collaborative, proactive, and solutions oriented to join our Commercial Data Operations team, based at our U.S. headquarters in Atlanta, Georgia. This hybrid role requires a minimum of 40% on-site presence and 5% domestic travel. 
About the Role
You will serve as a key member of UCB&rsquo;s Data Governance team, owning the intersection of data stewardship, financial operations, and vendor management. In this role, you will manage commercial data assets and contracts, oversee budget planning activities including operating expense forecasting, accruals management, spend tracking, and annual planning cycles, and ensure licensed data is used compliantly across the organization. You will act as the primary coordinator for vendor relationships, Statements of Work, purchase orders, and third-party data-sharing agreements while maintaining data catalogs, access controls, and governance processes. Success in this role requires strong financial acumen, process ownership, attention to detail, data governance knowledge, and the ability to manage vendor relationships, budgets, contracts, and competing priorities with a high degree of accuracy and accountability. 
 
Who you&rsquo;ll work with
Internally, you will partner with: Finance, Information Technology, Procurement, Legal, Data Governance, Commercial Data Operations, and business stakeholders across the organization to support budgeting, data access, compliance, and operational initiatives.
Externally, you will work with: data suppliers, software and data vendors, consulting partners, and authorized third parties to manage contracts, data licensing agreements, vendor performance, and data-sharing approvals. 
What you&rsquo;ll do<ul><li>
Manage Commercial Data Operations financial activities, including annual budgeting, forecasting, accruals, spend tracking, and operating expense management.
</li><li>Own vendor management processes, including Statements of Work, purchase orders, contract routing, approvals, renewals, and supplier relationships.
</li><li>Serve as the primary point of contact for third-party data-sharing agreements, ensuring compliance with licensing and usage requirements.
</li><li>Administer data governance policies, access management controls, data catalogs, and metadata standards to support data quality and stewardship.
</li><li>Partner with Finance, Information Technology, Procurement, Legal, and business stakeholders to support data acquisition, compliance, and operational initiatives.
</li><li>Evaluate and manage relationships with data providers and vendors, identifying opportunities to maximize the value of data investments.
</li><li>Lead recurring governance and information management meetings, communicate key updates, and support continuous process improvement efforts.
</li><li>Analyze business needs, manage competing priorities, and implement solutions that improve operational efficiency, compliance, and data accessibility.</li></ul> 
Interested? For this role we&rsquo;re looking for the following education, experience and skills 
Minimum Experience/Skills Required: 
<ul><li>
Bachelor&rsquo;s degree in Data Science, Information Technology, Risk Management, Accounting/Finance, or comparable field</li><li>
4+ minimum years of experience in finance, data governance or in a related role</li><li>
Proficiency in web portal tools and MS Office tools, incl. Outlook, Excel, PowerPoint, Word, and Visio</li><li>
Basic understanding of Data Systems, System Architecture, and Data Warehouses</li></ul> 
Preferred Experience/Skills:<ul><li>
Ability to manage priorities, tight deadlines, and expectations on multiple tasks with a high degree of quality, while managing shifting business needs</li><li>
Ability to routinely demonstrate strong quantitative, analytical, and complex problem-solving skills without supervision</li><li>
High degree of leadership, integrity, and work ethic with a positive attitude</li><li>
Strong learning agility and self-motivation, with a focus on patient value creation in a dynamic environment</li><li>
Programming language experience (SQL, Python, R)</li></ul> 
The reasonably anticipated salary range for this position is $88,000-$115,500 per year. The actual salary offered will take into account related knowledge, skills, experience and location among other factors and may fall outside the expected range. 
Are you ready to &lsquo;go beyond&rsquo; to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! 
About us 
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. 
Why work with us? 
At UCB, we don&rsquo;t just complete tasks, we create value. We aren&rsquo;t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We &lsquo;go beyond&rsquo; to create value for our patients, and always with a human focus, whether that&rsquo;s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. 
At UCB, we&rsquo;ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. 
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. 
 
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.</div>

Data Foundations Analyst

The Home Depot

Position Purpose: Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis. Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers. The role will be enabling scaling of AB testing platform so they must have that prior experience. Solid understanding of statistics and methodologies, familiarity with Central Limit Theorem and Hypothesis Testing is ideal (z-test, t-test, chi sq testing, ANOVA etc.,) The senior analyst will be regularly exploring new methods such as Non-Parametric Testing, bootstrap methods that elevate our platform. Explore new technical landscape in the world of Experimentation and bring it to the fold for Home Depot Key Responsibilities: 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau. 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data. 5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues. 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions. 5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures. Direct Manager/Direct Reports: This position reports to the Manager 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 18 years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience Understanding of the central limit theorem and hypothesis testing. 6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting Demonstrated expertise on data analysis and data visualization Demonstrated expertise on how to translate analysis into effective presentations Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools Working knowledge of Microsoft Excel and Power Point Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations Produce deep, statistical analysis in service of predictive insights Ability to partner with requesting organizations to build KPI frameworks Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML Ability to visualize data using Tableau Experience managing multiple projects and working in a fast-paced environment Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving. Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way. Superior interpersonal skills and ability to collaborate actively and work in a team environment. Ability to quickly learn and adapt to new technologies, tools, and techniques. 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: The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job. Minimum Years of Work Experience: 5 Preferred Years of Work Experience: 6 Minimum Leadership Experience: No previous leadership experience Preferred Leadership Experience: No previous leadership experience Certifications: None Competencies: Action Oriented Collaborates Drives Engagement Communicates Effectively Customer Focus Drives Results Manages Conflict

Sr. Decision Analyst, Experimentation

NiCE

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div><div>
<h2 class="jobSectionHeader">
Build the Systems That Power Analytics for Millions of Customer Conversations</h2>
<div>At NICE, we help organizations understand what customers are really saying. Our Nexidia Interactive Analytics (NIA) platform processes and analyzes massive volumes of customer interaction data, enabling organizations to identify trends, improve experiences, and make better business decisions.</div>
<div>We're looking for a Senior Software Engineer to join our Mobius team, a critical engineering group responsible for ingesting, transforming, and managing the data that powers NIA analytics. This is not a greenfield startup project. It is a highly scalable enterprise platform that sits at the center of a mature analytics ecosystem used by multiple product teams and customers worldwide.</div>
<div>If you're passionate about large-scale backend systems, SQL performance, data engineering, and using AI to build software smarter and faster, we'd love to talk.</div>
<h2 class="jobSectionHeader">Why This Role Matters</h2>
<div>The Mobius team is growing because demand for new capabilities continues to increase. The team is responsible for bringing vast amounts of customer interaction data into the platform, ensuring it is available, accurate, performant, and consumable by multiple downstream analytics teams.</div>
<div>You'll join a highly visible team that is expanding to meet growing business expectations while helping shape how AI-assisted development accelerates software delivery across engineering.</div>
<h2 class="jobSectionHeader">What You'll Do</h2>
<ul><li>Design and build scalable backend services using C#</li>
<li>Develop and optimize high-volume ETL and data ingestion pipelines</li>
<li>Design, tune, and maintain complex Microsoft SQL Server environments</li>
<li>Troubleshoot performance challenges across large-scale distributed systems</li>
<li>Investigate customer-facing production issues and drive resolution</li>
<li>Partner closely with multiple engineering teams that depend on Mobius-managed data</li>
<li>Use AI-assisted development tools to analyze requirements, accelerate coding, review implementations, and create automated testing strategies</li>
<li>Contribute to new feature development, platform enhancements, and architectural improvements</li>
</ul><h2 class="jobSectionHeader">What Makes This Opportunity Different</h2>
<ul><li>Work on a platform that directly supports advanced speech and interaction analytics</li>
<li>High-impact team with strong visibility and growing investment</li>
<li>Significant ownership across both development and production engineering</li>
<li>Opportunity to influence how AI is practically applied to software engineering workflows</li>
<li>New feature development represents the majority of team activity, with substantial innovation and roadmap work underway [Recruiting...ment Roles | Word]</li>
</ul><h2 class="jobSectionHeader">What We're Looking For</h2>
<h3 class="jobSectionHeader">Required</h3>
<ul><li>7+ years of software development experience</li>
<li>Strong C# / .NET backend development experience</li>
<li>4+ years of Microsoft SQL Server experience in production environments</li>
<li>Experience with:
<ul><li>Query optimization</li>
<li>Performance tuning</li>
<li>Database partitioning</li>
<li>Extended Events</li>
<li>Resolving I/O and latch contention issues</li>
</ul></li><li>Experience building high-volume data processing systems</li>
<li>Experience with ETL and data movement solutions</li>
<li>Strong troubleshooting and analytical skills</li>
<li>Excellent communication and collaboration skills</li>
</ul><h3 class="jobSectionHeader">Preferred</h3>
<ul><li>Experience using AI tools throughout the software development lifecycle</li>
<li>Microservices architecture experience</li>
<li>Distributed systems development</li>
<li>ElasticSearch experience</li>
<li>Enterprise CI/CD environments</li>
<li>Contact center, analytics, or data platform experience</li>
</ul><h2 class="jobSectionHeader">Location &amp; Work Style</h2>
<ul><li>Hybrid role based in Atlanta</li>
<li>In-office collaboration Monday and Tuesday</li>
<li>Work alongside experienced engineers focused on solving large-scale data challenges</li>
</ul>
</div>Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. This role is located in our GA office at 6 Concourse Parkway, Atlanta GA 30328 https://www.nice.com/company/global-locations</div><div>
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

Sr Software Engineer, Backend & Data Platforms (Mobius Team)

Position Purpose: The Analyst, Online Merchandising Solutions will drive the process improvement and supplier engagement associated with the rapid assortment expansion of hd.com and subsequent required item troubleshooting. The analyst will be responsible for keeping team projects on-task and within expectations of project timelines, working with Online Merchandising Solutions Manager(s) &amp; leadership to prioritize projects and own deliverables of the team. The role will require the development of the day-to-day relationships with internal and external partners (i.e., Direct Fulfillment Merchants, HD.com business partners, suppliers, etc. to support data initiatives online). There will be work to monitor transformation of data and work with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is the primary point of contact responsible for a simple and seamless supplier experience in working with Home Depot.com, respective to all aspects of the supplier onboarding. This role manages supplier onboarding execution, troubleshooting/error resolution and analysis on new supplier opportunities. This role will be responsible for delivering top-tier customer service to all Home Depot Suppliers as well as internal partners and will be held accountable to exceptional customer service ratings. Key Responsibilities: 10% Attend merchant meetings and identify and facilitate OMS requests 40% Responsible for assortment growth projects, status reporting, item troubleshooting, &amp; attribute maintenance. Serve as SME for product category online. Learn/report on best practices, industry standards, &amp; legal requirements associated w/ assigned category. 30% Measure ongoing effectiveness of programs against metric targets. Develop/execute ongoing enhancements and/or business process optimization strategy based on measured performance and customer feedback. 20% Troubleshoot and problem-solve for ongoing operational needs as they arise (i.e., store SKU alignment, online product availability, and others). Ability to author clear, concise end user/training materials for processes. Direct Manager/Direct Reports: This position reports to the Manager, Online Merch Solutions 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. No travel required Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Proven track record of excellent customer service Experience in vendor/supplier management Outstanding written and verbal communication skills Ability to handle and prioritize multiple tasks Effective interpersonal and problem solving skills Data analysis Strong organizational, analytical and customer service skills Solid decision making and problem solving skills Proficiency in Microsoft Excel, PowerPoint and Access Ability to be deadline oriented with long and short-term projects Understanding of merchandising assortment and associated product classifications Strong knowledge of internal Home Depot store product system(s) including base tables Strong decision making and problem solving skills Proficiency in Microsoft Excel and Access Strong organization, analytical, and customer skills 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: 1 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: None

Analyst, Online Merch Solutions

Cushman & Wakefield

<div>Job Title
Data Engineer
Job Description Summary
Key Objectives: 
 
Supports the development, optimization, and maintenance of Cushman &amp; Wakefield&rsquo;s commercial real estate (CRE) forecasting infrastructure across the Americas. This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. 
 
Operate as a self-sufficient data practitioner, capable of independently delivering data solutions or working side-by-side with technology teams to ensure alignment and production readiness of QIG capabilities on an iterative basis. 
 
Works closely with senior economists, analytics leads, and technical teams to deliver high-quality, production-ready data solutions that underpin the firm&rsquo;s House View and related analytical products.
Job Description
Time Series Data Engineering, Maintenance &amp; Automation (40%)<ul><li>Prototype, build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in forecasting models.</li><li>Ensure data integrity and consistency across all QIG&rsquo;s inputs and outputs through rigorous validation and quality control procedures. Design and enforce structured data interfaces and integration patterns to ensure consistent ingestion and interoperability across internal and external data sources.</li><li>Work closely with cross-functional partners to define, refine, and validate data quality rules, using both automated checks and hands-on analysis to ensure outputs meet analytical expectations.</li><li>Performs exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies.</li><li>Partner with PRI (Property Research &amp; Intelligence), TDS (Technology Data Solutions), GIS (Geographic Information System) and forecasting team to ensure governance of time series data, as revisions to geography-based competitive sets can occur.</li><li>Collaborate with PRI, TDS/GIS and other QIG teams to integrate internal and external data sources into infrastructure deployed by QIG teams.</li><li>Ensure Global Think Tank, Americas Research and other stakeholders have access to relevant time series (and forecast) data via various tools and capabilities in coordination with QIG leads. Work iteratively with partners to refine data outputs, validate usability, and adjust underlying pipelines or transformations as needed to meet evolving analytical requirements.</li></ul>
Technical Support (40%)<ul><li>Create and maintain documentation of any synthetic data model architecture, data flows, and diagnostic procedures. Have strong grasp of field-level data lineage and traceability to support transparency, reproducibility, and downstream analytical confidence.</li><li>Partner with Head of Data Science &amp; Geospatial Analytics to build state-of-the-art, novel real estate dataset, with additional relevant data geospatially integrated (e.g., demographics, socioeconomic data, zoning or flood maps, climate or walk score information); produce detailed specifications that guide engineering implementation.</li><li>Develop internal documentation and process automation, and serve as expert on the integration, application and processing of internal data, 3rd party vendor data and other public data (e.g., Census TIGER, IPUMS) as appropriate with QIG leads.</li><li>Advise, integrate and execute normalization methods with internal and external partners, co-developing approaches with technology teams when necessary and validating outputs through hands-on implementation and analysis.</li><li>Identify new data use cases for proprietary data, ensure appropriate cleaning and normalization techniques so data can be used in statistical, econometric and other commercial analytics applications.</li></ul>
Infrastructure Enhancement &amp; Collaboration (20%)<ul><li>Contribute to evolution of the QIG data infrastructure by identifying opportunities for efficiency gains, automation, and scalability.</li><li>Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into data workflows under guidance from senior team members through hands-on experimentation, prototyping, or coordination with TDS as needed.</li><li>Coordinate with TDS and PRI on internal data and technology initiatives; contributing hands-on development or feedback where appropriate to scale, optimize, and productionize solutions in support of QIG capabilities.</li><li>Serve as the key liaison for all external data dependencies; monitor the evolution of 3rd party data products and capabilities, assess their fit against QIG analytical requirements, and produce intake specifications when new sources are approved for integration. As needed, partner with technology teams to evaluate and integrate internally managed data sources.</li><li>When/where appropriate, maintain a living requirements register and change log that tracks open data engineering requests, their status in the TDS backlog, acceptance criteria, and QIG sign-off outcomes.</li></ul>
Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Engineering, Data Science, Computer Science, Statistics, or a related technical field. Advanced degree a plus.</li><li>5-7 years of experience in data engineering or a hybrid analytical/engineering role, preferably in a forecasting or analytics/production environment. Real estate experience a plus.</li><li>Strong proficiency in Python/R, SQL, Databricks, Delta Lake and data pipeline frameworks (e.g., medallion architecture).</li><li>Experience with time series data, econometric / data science modeling workflows, and automation tools.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and version control systems.</li><li>Demonstrated ability to operate in a collaborative, cross-functional environment, contributing both independently and alongside engineering and analytical teams to deliver data solutions.</li><li>Comfort working in iterative development settings, balancing hands-on execution with stakeholder collaboration and continuous feedback.</li><li>Strong attention to detail and commitment to data quality.</li><li>Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when appropriate).</li><li>Excellent documentation and communication skills for technical audiences. Ability to participate meaningfully in engineering discussions.</li><li>Exposure to geospatial data concepts and CRE or macroeconomic datasets.</li><li>Experience working with agile/scrum delivery models in a data and analytics context.</li></ul> 

Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. 

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications. 

The company will not pay less than minimum wage for this role. 

The compensation for the position is: $ 114,750.00 - $135,000.00
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Data Engineer

Capgemini

<div><div><div><div>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.
<div><div><div><h2 class="jobSectionHeader">Job Location : Cary, NC (Onsite/Hybrid from Day 1)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.
</div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Qualifications</h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications</h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: 85786- 97273
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.
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.
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.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<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>Important Notice: 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.
Disclaimers
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.
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.
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.

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.</div></div></div></div>

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