Data Curation Associate Jobs

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance Ensure data governance and security pro

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance

Data Analyst Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description LMS administration work General · Regular daily operation and configuration of LMS. <p

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Essential Responsibilities: This role is a Data hunter – Source data as per requirements provided by Data Strategy and business partners (e.g. Product, Analytics). Conduct market research to identify relevant data sources and stay updated with emerging data trends, regulations, and reporting frameworks. Effectively communicate with key stakeholders from proposal through onboarding. Coordinate multiple initiatives at different phases to ensure successful onboarding and relationship moving forward. Act as a liaison for critical providers, uncovering risks and opportunities through regular touchpoints. Identify participation growth, efficiency, and/or sales opportunities. Secure standard agreements, support contract negotiations, retrieve required deliverables, and act as the steward between provider and internal operations teams. Work across departments to gather use cases and data requirements. Skills and/or Certifications Needed: Bachelor’s Degree in Business, Finance, or a related field. 8+ years of experience in project management, account management, business development, or vendor management, preferably in the B2B data space. Excellent communication skills, both spoken and written, to collaborate effectively with stakeholders at all levels. Strong Excel skills with attention to detail. Familiarity with B2B credit, credit bureau function, and com

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Essential Responsibilities: This role is a Data hunter – Source data as per requirements provided by Data Strategy and business partners (e.g. Product, Analytics). Conduct market research to identify relevant data sources and stay updated with emerging data trends, regulations, and reporting frameworks. Effectively communicate with key stakeholders from proposal through onboarding. Coordinate multiple initiatives at different phases to ensure successful onboarding and relationship moving forward. Act as a liaison for critical providers, uncovering risks and opportunities through regular touchpoints. Identify participation growth, efficiency, and/or sales opportunities. Secure standard agreements, support contract negotiations, retrieve required deliverables, and act as the steward between provider and internal operations teams. Work across departments to gather use cases and data requirements. Skills and/or Certifications Needed: Bachelor’s Degree in Business, Finance, or a related field. 8+ years of experience in project management, account management, business development, or vendor management, preferably in the B2B data space. Excellent communication skills, both spoken and written, to collaborate effectively with stakeholders at all levels. Strong Excel skills with attention to detail. Familiarity with B2B credit, credit bu

POSITION SUMMARY Natera is seeking a Data Privacy Manager to support the operationalization and continuous improvement of enterprise privacy capabilities that enable responsible, compliant, and scalable innovation across the organization. This is an individual contributor role that reports to the Director, Data Privacy and partners with cross-functional teams to help embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. This role helps implement scalable solutions that improve privacy operations and visibility into data use. In addition to core privacy responsibilities, this person will contribute to the evaluation of new initiatives and support strategic projects and emerging regulatory requirements across commercial, clinical, and research environments. This role requires a solid foundation in healthcare privacy, clinical research, and technology-enabled healthcare, coupled with the ability to translate regulatory, ethical, and operational requirements into practical solutions that support the business. Regarding culture, we seek people who demonstrate Natera's values, enjoy solving complex problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Management & Governance Support the operationalization of enterprise privacy governance frameworks that enable responsible, compliant, and scalable use of information Partner with Legal, Regulatory, HealthCare Compliance, Security, and AI and Data Governance teams to align privacy requirements with broader governance and risk initiatives Help apply scalable decision-making frameworks and governance processes that support business objectives while maintaining patient trust and regulatory compliance Advise business and technology partners on privacy requirements, emerging risks, and evolving regulations Privacy Technology, Product & Engineering Partnership Support the continuous

JOB SUMMARY: Natera is seeking a Data Privacy Director to help advance and operationalize the enterprise privacy program across our commercial, clinical, and product environments. This is a broad, hands-on leadership role supporting the full range of the Privacy team's work — from privacy impact assessments and regulatory analysis to contract and legal privacy-focused reviews — with a strong business-enablement orientation. This role reports to the Vice President, Data Privacy and partners with cross-functional teams to embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. The Director may also provide guidance and mentorship to privacy team members and external resources supporting the program. The Director will also serve as a key integration point between Privacy and Product, embedding privacy-by-design into product and software development lifecycles and partnering with engineering to make privacy practical and scalable. In partnership with Medical Affairs, Clinical Operations, and Data Sciences (R&D), this leader will also enhance and maintain data governance frameworks that support clinical research initiatives and the responsible use of data for quality improvement and development activities. Together, these efforts will help strengthen Natera’s privacy program, building efficient, repeatable processes that expand team capacity while enabling responsible innovation and growth. Regarding culture, we seek people who demonstrate Natera's values, enjoy challenging problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Program Enablement Lead privacy impact assessments, regulatory analyses, and risk-based recommendations that balance compliance with business enablement Conduct privacy reviews of contracts and legal engagements, drafting recommendations for counsel review, alignment, and approval Apply a risk-based lens to enable business d

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. The Data Strategy team within Market Intelligence takes a research-oriented and strategic approach to discovering new avenues of insight, manages the inflow of compliant data into our team’s process, and is responsible for managing effective and efficient data and research partnerships on behalf of the firm. What You’ll Do As a Data Sourcing and Strategy Operations analyst, you will collaborate with our team, colleagues across the firm, and external vendors to provide essential support required to source data and conduct research that may ultimately be used by our investment teams. Specifically, you will: • Assist the Data Sourcing and Strategy team in managing relationships with data and research providers, including facilitating requested service changes, ensuring internal use of services follows the firm’s contracts and obligations, and staying current on the evolving data market • Help manage the team’s operations workflow by working closely with Legal, Compliance, Finance, and other internal stakeholders • Maintain and manage the Data Sourcing and Strategy knowledgebase by developing an understanding of system architecture • Develop strong internal relationsh

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Manager, Data Acquisition is responsible for increasing the depth, breadth, and continuity of D&B’s credit data assets by identifying qualified, eligible, high-value, high-growth targets based on organizational priorities and market research. Manages critical participant relationships and related processes. Acts as a trusted subject matter expert on business credit furnishing. The Senior Manager, Data Acquisition grows participation and payment experiences by aligning the benefits and value of the program to needs of prospects, new or established clients, win-backs, and adding included portfolios from established providers through virtual and face-to-face communication. Responsibilities include working across departments to understand use cases and data requirements, identify new contacts and deepen relationships with current contacts. Key Responsibilities: Conduct market research to identify relevant data sources and stay updated with emerging data trends, regulations, and reporting frameworks. Effectively communicate with key stakeholders. Act as a liaison for critical providers, uncovering risks and opportunities through regular touchpoints. Identify participation growth, efficiency, and/or sales opportunities. Work across departments to gather use cases and data requirements. Lead and mentor a team of analysts, providing guidance and support to drive performance and professional growth. <li

Data Analyst V itD is seeking a Data Analyst V to analyze customer experience and customer support data for Reality Labs, uncover actionable insights, and improve customer satisfaction across the end-to-end customer journey. The ideal candidate will bring 8+ years of experience in data analytics or data science, strong SQL and Python or R programming skills, and expertise in statistical modeling, predictive analytics, and Generative AI to translate complex customer data into insights that drive business improvements and customer-centric decisions. Location : Remote – US (Candidates must be able to work Central or Pacific Time hours) Duration : 12 months, with potential for extension or conversion Schedule : 40 hours per week, Monday–Friday; no overtime. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Analyze large, complex datasets using SQL, Python or R, and statistical techniques to identify customer experience trends, pain points, and opportunities for improvement. Synthesize customer signals from surveys, digital analytics, behavioral data, operational metrics, and customer support interactions across the end-to-end customer journey. Apply statistical modeling, predictive analytics, machine learning, and natural language processing (NLP) to analyze customer support conversations, transcripts, and tickets to generate actionable insights. Develop customer segmentation and clustering models to identify common customer issues and recommend targeted solutions, including self-service resources. Integrate customer feedback with transactional, operational, and behavioral data to identify key drivers of customer satisfaction and business outcomes. Design, test, and launch customer experience and support metric scorecards to track KPIs and evaluate performance across digital, AI-powered, and human-assisted sup

About the role We are looking for an early to mid career Data Analyst (min 3 years experience) to take us to the next stage of growth, supporting the finance function. The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders from finance and corporate finance. You will be at the confluence of finance and data, helping to shape financial reporting with a solid understanding of accounting and finance paired with practical experience working on databases, ETL/ELT processes, and building dashboards. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data. A Typical Day Drive business impact through actionable insights and identifying key opportunities for rapid growth Build dashboards that provide accurate and actionable insights Work with the data engineering team on the data enrichment needs of the product team Work with stakeholders across the business to prioritize projects based on impact and drive delivery Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders Ensuring governance and being a steward of good analytical practices throughout the process Your Ideal Expertise Experience: 4+ years of experience in financial data analysis, with a preference for experience in the BNPL industry or a related field. Demonstrating understanding of the unique data and financial metrics relevant to BNPL. Technical Skills: Proficiency: Financial modeling, data manipulation using SQL, and potentially programming languages like Python or R. Data Visualization: Creating clear and insightful data visualizations like dashboards and reports. Financial Knowledge and Analysis Techniques: Financial Budgeting and Forecasting: Experience in working with financial budgets and forecasts, using data analysis to inform projections and identif

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Algorithms Engineer | PhD Holder Only 5 Work Days Per Week Office Near Tai Seng MRT , Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PhD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning , be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / G

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: Flexport is looking for a creative, technically-minded Senior Data Scientist who is excited about solving challenging problems in fulfillment and logistics. We provide ecommerce merchants a full range of "factory to door" logistics solutions. This role focuses on building automated decision-making processes that ensure that we meet or exceed the expectations of our merchants for fulfillment speed and reliability, while growing the network in a cost-efficient way. Data is at the heart of our business, and as a Data Scientist, you will develop first-in-class science products to make fulfillment easy and efficient for our merchants. In collaboration with multidisciplinary product, engineering, and business/operations teams, you will apply advanced Operations Research (OR) and Machine Learning (ML) methods to deliver data-driven insights and automated decision-making solutions in Flexport’s fulfillment products. Our business, product, and engineering teams collaborate closely with our Data Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. We are passionate about prov

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: This Data Visualization Engineer is a versatile, hands-on builder who owns how 𝕏 turns data into decisions. They will administer our current BI platform, build dashboards quickly, and partner with the business to shape a modern, unified reporting and analytics solution. RESPONSIBILITIES: Business-critical responsibilities include, but are not limited to: Administering our BI platform (currently Tableau Server) as its sole administrator: upgrades, patches, maintenance, license management, SSO, and data drivers Supporting 12 department sites and their Site Admins, plus about 700 users, including owning the tbl-site-admins and tableau Slack channels Handling all BI requests through Slack and Jira (about 12 a week): access, ownership changes, data source issues, troubleshooting, and fixing bugs Communicating proactively with Site Admins, users, and developers about downtime, upgrades, and widespread issues Quickly designing and building dashboards and data products that turn complex data into clear, decision-ready insight Maintaining an inventory of existing reports and dashboards and working with business owners to decide what to migrate, rebuild, or retire Helping

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will… Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because… 3+ years of professional experience 3+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Kotlin/Scala 3+ years of experience in ETL orchestration and workflow management tools like Airflow Expert in database fundamentals, SQL, data reliability practices and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools Comfortable working in