Remote Data Engineering & Analytics Jobs

Position Summary... What you'll do... Role summary: As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data sourcing, quality management, and visualization to translate complex data into actionable insights. You will collaborate across functions to align analytics initiatives with organizational goals, mentor team members, and promote continuous improvement through innovative tools and methodologies. Your leadership will ensure the delivery of high-impact solutions that enhance operational performance and support Walmart’s commitment to excellence and integrity. About the team: The Earnings Excellence Finance Data Analytics team functions as the operations analytics hub for Walmart’s EE Finance organization, enabling data-driven decisions across the network. The team delivers end-to-end visibility into Driver Earnings and Disbursements through actionable insights supporting compliance and regulatory needs. Key responsibilities include developing dashboards to monitor KPIs, providing advanced analytics and optimization support to finance and other functions, delivering ad-hoc analyses for leadership, and driving analytics for pilots and strategic initiatives. This team plays a critical role in guiding data-backed recommendations to support operational performance and future growth. What you'll do: · Lead analytics and reporting across Driver E

About The Position This role is responsible for creating, managing, and optimizing the data and BI platforms, and for partnering closely with stakeholders to drive requirements gathering, defining data solution architecture, and building and delivering data pipeline solutions (including, but not limited to, ETL/Extract-Transform-Load, pipelines, data models, and monitoring controls). This is a hands-on role that creates, drives and tracks project plans for Business Intelligence (BI) platform and Data Engineering solutions delivery, and leads sprint planning and completion for assigned pipelines to meet business needs while implementing solutions with continuous improvement. This role reports to the Senior Director of Data Management and Governance. Responsibilities Own and drive the end-to-end delivery of data architecture and pipeline solutions, including holistic planning, requirements-gathering, design, build, and testing strategy per assessed business needs. Design and evolve the semantic layer to be the well-governed single source of truth for business intelligence and ensure it is meeting all reporting needs. Design and operationalize data quality framework to ensure trust and consistency in data, with proactive monitoring, alerting, root cause analysis (including troubleshooting and resolution) with impact and sizing assessments for all critical data pipelines. Manage and continuously improve data architecture and pipelines, establishing clear monitoring standards and

Data Platform Architect – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Data Platform Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $140,000–$180,000 Annually Experience Required: 15+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. Eight or more years of experience in data engineering, with signif

Job Description A bit about this role: Accurate, complete, and timely provider data is foundational to how we serve our members and support our providers. It powers the provider directory, helps members find and navigate care, reduces administrative burden for providers, and supports critical processes including claims, utilization management, credentialing, network operations, care navigation, and reporting. Because provider data is complex, interconnected, and constantly changing, strong processes to monitor, verify, and improve its accuracy are essential to our member and provider experiences, operational performance, and compliance with federal and state requirements. The Manager will help drive operational excellence across the provider data lifecycle—from onboarding and initial configuration through ongoing maintenance and verification—with particular focus on ensuring that records affecting member care are accurate, complete, and up to date. By connecting operational insights, stakeholder feedback, and data trends, this person will identify opportunities to strengthen processes, improve data quality, and prevent issues before they impact members, providers, or downstream business operations. We’re looking for a self-starter who can bring structure to ambiguous problems, manage multiple initiatives, and move work from insight to implementation. Your responsibilities and impact will include: Support and advance initiatives that improve the accuracy, completeness, timelin

We’re expanding across Mexico, Brazil, Argentina, Colombia, Chile , and Peru , and we’re looking for an experienced Clinical Data Manager to help build the foundation of our growing LATAM Data Management team, ensuring the delivery of high-quality clinical data that drives successful clinical trials and accelerates innovative therapies to patients. Position Summary: The Senior Clinical Data Manager/Principal Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing. Essential functions of the job include but are not limited to: Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs. Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing May perform quality control of data entry Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: SAP Data Migration Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $125,000–$145,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced SAP Data Migration Engineer to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical disciplin

Position Summary... This role is responsible for enabling data-driven business solutions through analytics, data engineering, and modeling practices. The role may support data strategy, governance, and solution delivery by translating business needs into scalable, high‑quality data and analytical outcomes. What you'll do... This role is responsible for supporting the design and delivery of analytics and data solutions that address defined business problems. The role may contribute to problem formulation, clarify requirements, and apply appropriate analytical or automation techniques to generate actionable insights aligned with intended outcomes. This role supports business understanding by applying knowledge of operations, metrics, and practices across multiple functional areas. The role may assist with business case development, support assigned project activities, contribute to process improvements, and adapt solutions to evolving requirements under guidance. This role enables data sourcing, transformation, and modeling activities by identifying suitable data sources, performing initial data quality checks, and developing data pipelines and models. The role may apply data integration, warehousing, and modeling techniques to support analytical use cases and scalable data structures. This role also supports data governance, strategy, and solution implementation by following defined standards, ethical practices, and policies. The role may contribute to documentation, solution

Overview Experian 's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include strategic thinking, an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model. You will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions. We continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization. This is a remote role and you will report into the Sr. Manager of Fraud Analytics. What you'll do Explore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals. Work with senior data scientists to translate fraud questions into

Design, develop, and maintain scalable, efficient data models aligned with business needs, ensuring information integrity, quality, and governance. You will be responsible for translating functional and business requirements into logical and physical data models that support analytical, operational, and digital transformation initiatives. Design conceptual, logical, and physical data models to support business processes and analytical solutions. Define database schemas, entity relationships, and optimized storage structures. Translate business requirements into robust, scalable data models. Collaborate with business teams, solution architects, developers, and analysts to ensure the correct implementation of models. Establish data modeling standards, naming conventions, and documentation. Participate in data governance, data quality, and metadata management initiatives. Identify optimization opportunities in data integration, storage, and consumption processes. Design and document entity-relationship diagrams (ERDs) and information architectures. Ensure data consistency and integration from multiple source systems. Support the design of ETL/ELT processes and cloud data architectures. Perform impact analysis on structural changes in models and data repositories. Required Experience 5+ years of experience in modeling and archit

Machine Learning Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Machine Learning Data Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $80,000–$100,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an Machine Learning Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of data engineering experience, with significant wo

At Solventum , we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum , and we’re committed to protecting your personal information—learn more in our Privacy Policy: Job Description: Senior Data Engineer ( Solventum ) 3M Health Care is now Solventum At Solventum , we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients’ lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum , we never stop solving for you. The Impact You’ll Make in this Role As a Senior Data Engineer supporting Commercial Operations Analytics, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. You will design trusted data products for order-to-cash reporting, operational dashboards, scorecards, productivity measurement, and AI-enabled decision suppo

Senior Data Architect, Customer Data AI & Data Workflows |Remote | Full-Time | EMEA Who We Are: Front Office Transformation Experts Bluprintx (BPX) is a global, AI-powered consultancy built to design and deliver the intelligent front office for CMO and CRO executives. We are private equity-backed and scaling fast, with 300 active customers across 10 countries and more than 1,750 implementations. We connect people, technology, and AI to turn fragmentation into performance, partnering with global leaders to modernize how marketing, CRM, content, AI & Data connect. At BPX, we hire operators and specialists who thrive at the intersection of commercial strategy and technical execution. What We Do: Cutting Complexity Across the Front Office We help the world's most ambitious companies, including Uber Eats, BNY, and Xerox, untangle the operational complexity that slows enterprise growth. As a Gold Adobe Solution Partner and Salesforce Summit Partner, we deliver strategy and implementation across the full front office. Our proprietary methodology builds sustainable enabled ecosystems that maximize ROI and accelerate speed to market. By embedding AI into commercial workflows, we help clients move faster and stay ahead. The Role BPX is hiring a Senior Data Architect as we build out a dedicated Data capability alongside our Intelligent Marketing practice. You will design the data foundations that sit underneath enterprise front-office programmes: the cloud data platform, the mod

About you You are an experienced Data Engineer who enjoys building reliable integrations and transforming complex data into accurate, accessible, and actionable information. You have hands-on experience developing production ETL pipelines with TypeScript/Node.js and Python, integrating REST APIs, and working with cloud-based data platforms. You are comfortable joining an established codebase, following existing technical patterns and CI/CD workflows, and becoming productive with minimal guidance. You communicate clearly in distributed environments, work effectively with limited overlap, and take ownership of monitoring, troubleshooting, and maintaining the reliability of your pipelines. You Bring to Applaudo the Following Competencies 5+ years of professional experience in data engineering, integration development, or related roles. Production experience building ETL or data-integration pipelines using TypeScript and Node.js. Strong Python experience focused on data-pipeline development. Hands-on experience with GCP services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub. Experience integrating REST APIs using OAuth 2.0, pagination, error handling, and retry mechanisms. Advanced SQL skills and experience working with complex data warehouse schemas. Experience developing data-transformation logic and data-quality validations. Understanding of pipeline monitoring, alerting, failure recovery, and operational support. Experience working within established architectures

Data Engineer - Python, PySpark, SQL, Snowflake & API Integration Job Description: We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions. Key Responsibilities: Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake. Integrate REST APIs and external data sources into Snowflake-based data platforms. Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing. Develop efficient SQL queries and optimize Snowflake performance. Implement data quality, validation, monitoring, and automation. Collaborate with engineering and analytics teams to deliver reliable data solutions. Required Qualifications: 3+ years of experience in Data Engineering. Strong hands-on expertise in Python, PySpark, SQL, and Snowflake . Experience with REST APIs, JSON, and API-based data integration. Knowledge of ETL/ELT processes, data modeling, and data warehousing. Experience with cloud platforms such as AWS, Azure, or GCP is preferred. All your information will be kept confidential according to EEO guidelines. Originally posted on Himalayas

At TTEC Digital , we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive. The position of Senior Consultant - Data Science & AI is within the TTEC Digital Analytics team. The Analytics group is responsible for Data Science, Advanced Analytics, Generative AI, and Engineering projects that include the design and validation of predictive models, building scalable machine learning pipelines, engineering autonomous agentic workflows, and leveraging enterprise Gen AI (LLMs, RAG architectures) to convert raw, unstructured client data into actionable insights that drive strategic business decision-making. Our Data Science & AI Consultants work directly with external clients, Data Engineers, Project Leads, and Managers on implementation, migration, and advanced analytics deployment projects. Key responsibilities Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting). Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data. Architect Agentic AI Systems: Design and

Maxana is hiring a Data Engineer on behalf of a fast-growing digital health platform in the U.S. You'll join their data team as a full-time contractor, building the pipelines and infrastructure that power analytics, product features, and clinical/operational decision-making. This is a fully remote role open to candidates based in Latin America, working U.S.-overlapping hours. What you'll do: Design, build, and maintain scalable data pipelines (batch and streaming) Develop and optimize data models in a modern cloud data warehouse Build robust ELT/ETL workflows and manage orchestration (e.g., Airflow, Dagster, or similar) Partner with analytics, product, and engineering teams to deliver clean, trusted datasets Implement data quality checks, monitoring, and alerting across pipelines Handle sensitive data responsibly and help uphold privacy and compliance standards (e.g., HIPAA-aligned practices) Contribute to the evolution of the platform's overall data architecture Requirements 4+ years of professional data engineering experience Expert-level SQL and strong Python skills Hands-on experience with a modern cloud data stack (e.g., Snowflake, BigQuery, or Redshift; dbt; Airflow or similar orchestration) Experience with cloud platforms (AWS, GCP, or Azure) A track record of building reliable, well-documented pipelines at scale Strong written and spoken English (daily collaboration with a U.S.-based team) Based in Latin America with reliable ability to work U.S.-overlapping hours Nic

Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job Qualifications: Skills: Amazon Web Services (AWS), Cloud Computing, Data Migrations Certifications: None Experience: 7 + years of related experience US Citizenship Required: No Job Description: Database Analyst /Administrator GDIT has an opportunity for a dynamic and talented candidate to join our team supporting the Administrative Office of the US Courts (AOUSC). The Database Analyst/ Administrator will execute the following responsibilities: Provides production support for mission‑critical database environments, including shift‑based coverage and on‑call support to ensure high availability and timely issue resolution. Monitors database performance, responds to incidents, troubleshoots production issues, and coordinates with development and operations teams to restore service quickly. Performs root‑cause analysis for production defects and contributes to long‑term stability improvements. Works within an Agile solution development environment with daily scrums, biweekly sprint planning and quarterly Program Increment planning. Develops operating standards and best practices, including performance, security, scalability, and maintainability. Ensures the proper definition, control, and coordination of data elements and standards, and the facilitation of efficient data relationsh

Thank you for considering a career at Ensemble! Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: The Data Engineer II supports Ensemble’s data engineering strategy by designing, building, andmaintainingreliable data pipelines and integrations that enable analytics, operational reporting, and data-driven decision making. This role focuses on hands-on development within established platforms and patterns, working closely with senior

Build our future together: The Manager CDM, provides oversight of lead Data Manager(s) on assigned clinical data management studies in specific therapeutic areas to assure proper planning and execution for data management deliverables that meet Regeneron standards and within timelines. Assists in the development of SOPs, Working Practice, Data Management Plan, and other data management standards. When & where: Work Location: Remote 25% Travel may be required Discover your role: Serve as the DM study lead and the primary point of contact for clinical study teams and external partners, (e.g., external data vendors and CROs) for 1 or more complex studies Provide a high level of expertise in data management to support clinical studies. Provide clear verbal or written information and hands-on support to project team members and to CROs related to eCRF and database design, data quality, and reporting of database / data quality status. Oversee the implementation and execution of procedures for data quality review and data acceptance prior to data analyses and/or database lock. Manage data transfers with CROs and third-party data sources, SAE/AE reconciliation and MedDRA/WHO-DD coding. Support the transfer, locking, and archiving of study databases. Manage scheduling and time constrains across multiple projects. Prepare recommendations for new or improved processes for data management and data flow. Perform & document the oversight of CRO data management activities for assign

The Agent Data Plane team is building the next foundation for the Datadog Agent: a new Rust-based platform for the telemetry pipelines (logs, metrics, traces, checks, and more) that run on our customers' infrastructure. Designed for performance, a small and predictable resource footprint, and resiliency, Agent Data Plane will take over the Agent's existing Go-based data pipelines. See a recent episode of Datadog On to hear more about the origins of this project from its technical lead: Datadog On: Return of Rust . As the team's first dedicated Engineering Manager, you'll guide a team of five engineers, partner closely with the project's technical lead, and help other Agent teams build their pipelines on the platform. Your work will lower the cost customers pay to run the Agent, reduce Datadog's own infrastructure costs, and make the Agent's performance and reliability a lasting competitive advantage. This is also a very public evolution of the Agent's architecture: the codebase is open source, and the work lends itself to technical blog posts and conference talks. As the Agent organization grows, you'll have the opportunity to take on broader scope and grow into the next level of engineering management. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead, mentor,

Who we are More efficient. More accurate. More accessible. Exol is bringing industry-leading automation to businesses of all sizes through an innovative warehouse-as-a-service model. What we need Exol is seeking a Senior Data Engineer to join our Data Platform team within our IT organization. Your job will be to design, build, and scale a cloud-native, multi-tenant data platform that delivers reusable data services, pipelines, and platform capabilities for analytics, customer products, and AI-driven solutions. What we do Exol is pioneering Warehousing-as-a-Service by delivering outsourced and automated warehouse operations for wholesale, retail, and general merchandising industries. Our Data Platform team develops the shared cloud infrastructure, data services, and engineering capabilities that support multiple customers and products. Exol is an independently managed joint venture between Symbotic and SoftBank. What you'll do Design and enhance a scalable, cloud-native, multi-tenant data platform. Build and optimize batch and streaming data pipelines, transformation models, and reusable data services. Develop scalable data models using BigQuery and dbt while implementing data quality, governance, lineage, and monitoring practices. Create Infrastructure as Code using Terraform and maintain CI/CD pipelines using GitHub Actions or similar tools. Implement automated testing, deployment, release, observability, logging, and alerting capabilities. Monitor platform health, troublesh

Req ID: 395644 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Remote Cyber Risk & Security Data Analyst to join our team in Plano, Texas (US-TX), United States (US). Job Description Job Title Cyber Risk & Security Data Analyst / Engineer Location United States (Hybrid/Remote as applicable) Employment Type Full-Time Experience Required 5+ Years Education Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, Engineering (B.Tech), or a related field; equivalent practical experience will also be considered. Position Summary We are seeking a highly motivated Cyber Risk & Security Data Analyst/Engineer with expertise in cybersecurity risk management, vulnerability assessment, security analytics, and data engineering. The ideal candidate will be responsible for identifying and assessing cyber risks, evaluating security vulnerabilities across enterprise systems, and developing strategies to mitigate potential threats. This role also requires strong experience in automation, AI-enabled solutions, and data engineering technologies to collect, transform, analyze, and report on large-scale security and operational datasets. The candidate will collaborate with cross-functional teams to strengthen the organization's security posture, support business continuity objectives, and d

Job Title: Data Analysis Entry Clerk Job Type: (Remote) Job Summary: A Data Analysis Entry Clerk is responsible for accurately inputting, organizing, and managing data while supporting analytical and reporting activities. This role bridges data entry with preliminary data analysis, ensuring that information is both precise and structured in a way that enables meaningful insights for business decision-making. The clerk plays a critical role in maintaining data integrity and providing a reliable foundation for analysis. Key Responsibilities: Enter, update, and maintain data in databases, spreadsheets, and other systems with high accuracy. Review and verify data for completeness, consistency, and correctness. Prepare data sets for analysis by organizing, categorizing, and cleaning raw data. Generate basic reports and summaries to support business or departmental analysis. Identify data trends, anomalies, or errors and escalate issues as needed. Collaborate with analysts, managers, or other departments to ensure data is usable and relevant. Follow data security and confidentiality protocols. Suggest improvements to data collection and entry processes to enhance analytical outcomes. Skills and Qualifications: Strong attention to detail and commitment to data accuracy. Proficient in Microsoft Excel, Google Sheets, and basic database management; familiarity with data analysis tools is a plus. Basic analytical skills to interpret data and detect inconsistencies. Good organizational a

About Pinterest : Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest , we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest , AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are looking for a Senior Data Scientist to join our marketing org. As a Senior Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest ’s user growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment o