1,000+ matching jobs for “Data Analyst”How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
Pay posted by employer $61,900–$141,000
Data Engineer The Opportunity: As a data engineer, you know that organizing data can yield pivotal insights when …
Added Oct 27, 2026
Meet the Team Join Cisco's Commerce Intelligence Data & Analytics team, a strategic group at the forefront of delivering seamless intelligence, advanced …
Added Oct 27, 2026
Pay posted by employer $136,100–$224,500
… the Opportunity? At Travelers, we create trusted strategic products and services to unlock the power of our data . We enhance and measure our ability to access, govern, manage, connect and integrate internal and external …
Added Oct 27, 2026
… Clinical development domain knowledge is a plus Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) Certified Data Scientist (preferred on Databricks or Cloud …
Added Oct 15, 2026
plays a key part in delivering high ‑ quality , well ‑ governed data solutions that underpin digital channels, analytics, and operational reporting. Key Responsibilities Data …
Added Oct 16, 2026
… Experience with Clinical Development domain. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) Machine Learning Certification (preferred on Databricks or …
Added Oct 15, 2026
Pay posted by employer $52,800–$88,000
transforms complex data into meaningful insights, identifies trends, risks, pain points, and improvement opportunities, and …
Added Nov 4, 2026
+1 location
Pay posted by employer $110,000–$188,750
· Support the design, configuration, testing, and deployment of strategic data integrations into the Alpha Ecosystem supporting Investment Book of Record (IBOR), Accounting Book of …
Added Oct 27, 2026
… You will work closely with the Global Chemical Regulations Program (GCRP) team and utilize technical data to identify risks and ensure compliance. Maintain and improve data integrity within systems such as Granta …
Added Oct 29, 2026
Pay posted by employer $61,900–$141,000
Data Engineer and Data Pipeline Specialist The Opportunity: Ever-expanding technology like IoT, machine …
Added Oct 27, 2026
Pay posted by employer $109,202–$133,469
Data Engineer - IT Data Analytics Team Collaborate with Innovative 3Mers Around the World Choosing where to …
Added Nov 3, 2026
+1 location
… strategy by leveraging your analytical skills Assist with building and using models to test and validate data Work with vast amounts of data in new and evolving environments Be a part of growing and developing our …
Added Oct 27, 2026
+1 location
… strategy by leveraging your analytical skills Assist with building and using models to test and validate data Work with vast amounts of data in new and evolving environments Be a part of growing and developing our …
Added Oct 27, 2026
Pay posted by employer $158,800–$238,200
SET THE DATA AND DATA-PRODUCT STRATEGY Own the end-to-end marketing data strategy — the roadmap that moves the …
Added Oct 27, 2026
… decisions Influences analytics direction and standards Required Experience & Skills 5–8+ years of Data Analyst experience Expertise in using Business Intelligence tools such as PowerBI and Tableau Hands-on experience …
Added Oct 27, 2026
… what’s next. 
 OVERVIEW As a Quality Engineer II, you will help ensure the quality and reliability of data solutions that support General Mills’ business. You will design and execute data and Extract, Transform, …
Added Oct 27, 2026
… in food means surrounding ourselves with people who are hungry for what’s next. 
 OVERVIEW As a Lead Data Architect, you will help shape how connected data drives business action across General Mills by designing …
Added Oct 27, 2026
… in food means surrounding ourselves with people who are hungry for what’s next. 
 OVERVIEW As a Lead Data Engineer, you will help shape how connected data drives business action across General Mills by designing …
Added Nov 6, 2026
Pay posted by employer $87,100–$157,450
… cloud and on-premises environments, including AWS, Azure, GCP, Oracle Cloud, and SaaS platforms. The Data Security Engineer will build, optimize, and sustain the cybersecurity data pipelines that power defensive …
Added Nov 3, 2026
… Under close guidance or supervision, updates and analyses less complicated databases ensuring that data is correct. Essential Functions: Develops an understanding of the technical knowledge to needed to update …
Added Oct 15, 2026
Minimum Qualifications · employer excerpt Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations. 4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP. Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices. Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration. 2 more in the full description below.
About this opportunity Original employer description Meet the Team
Join Cisco's Commerce Intelligence Data & Analytics team, a strategic group at the forefront of delivering seamless intelligence, advanced analytics, and cutting-edge agentic experiences across our global business operations. Our mission is to architect and build a scalable, unified, and AI-ready data foundation that not only drives high-impact business decisions but also enables automated actions at an enterprise level. We achieve this by blending innovation, deep process knowledge, technical expertise, and a relentless focus on business impact, ultimately enhancing operational efficiency and data-driven decision-making at scale Your Impact
As a Data Engineer, you will play a critical role, driving end to end solutions in alignment with AI ready Data Architecture vision. You will lead projects with deep understanding of complex operational processes, explore diverse source systems, and analyze intricate data platforms to design and implement robust, scalable data and agentic solutions that address critical commerce operational needs. Your expertise will be pivotal in designing, building solutions for long-term maintainability of our robust data ecosystem, enabling advanced analytical capabilities, AI, and agentic solutions by collaborating with extended team across various time zones. You will be responsible for end-to-end ETL/ELT pipeline development for both structured and unstructured data, ensuring optimal data threading and transformation within our Golden layer. A key aspect of your role will be collaborating extensively with team at onsite, business functions and other engineering teams to architect and own a reusable semantic layer, strategically powering consumption across AI, agentic solutions, dashboards, and various enterprise applications. You will also mentor junior engineers and champion best practices across the team. Responsibilities Lead complex exploratory data analysis initiatives to identify strategic trends and patterns within structured and unstructured datasets, informing architectural decisions. Drive the translation of highly complex business requirements into strategic, scalable, and resilient data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW). Architect, design, and oversee the development and optimization of highly scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud, ensuring performance and reliability. Define standards for, and oversee the development and maintenance of, high-quality, analytics-ready data models using dbt, emphasizing modular design, reusability, rigorous testing, and CI/CD integration. Lead the design and implementation of a reusable semantic layer that adheres to enterprise architectural standards and supports diverse, high-volume consumption patterns (AI, agentic solutions, dashboards). Drive the integration of Snowflake Cortex and other AI/LLM capabilities directly into data pipelines, enabling advanced analytics and intelligent automation. Lead the design and development of advanced data consumption layers, including sophisticated dashboards, reports, conversational analytics, and agentic solutions. Applies working knowledge of databases, relational databases, cloud services, and scripting languages Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework Establish and champion best practices for data quality, observability, lineage, governance, and access control across our AI-ready data architecture, ensuring data trust and compliance. Serve as a technical liaison, collaborating strategically with data architects, analysts, and business stakeholders to define and execute long-term data strategies and roadmaps. Work in partnership and guidance from the core team at onsite Drive the establishment and continuous improvement of technical governance, CI/CD best practices, and rigorous version control standards to ensure the integrity, security, and scalability of our modern data stack. Experience with cloud-native services for data processing and orchestration (e.g., AWS Glue, Lambda, Step Functions, GCP Dataflow, Cloud Composer). Demonstrated experience applying Agile, Scrum, or Kanban methodologies within a data engineering environment. A self-starter with proven expertise to deliver outcomes with minimal supervision Provide technical guidance and mentorship to junior data engineers, fostering a culture of excellence and continuous learning. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations. 4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP. Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices. Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration. Mastery in SQL and Python, with a focus on scalable data processing, automation, and API integration. Extensive experience (7+ years) with leading BI/reporting tools such as Sigma or Power BI, with a deep understanding of data visualization best practices. Preferred Qualifications Demonstrated expertise in implementing and managing data quality, observability, and lineage frameworks and tools across enterprise data pipelines.Deep architectural understanding and practical application of advanced Snowflake capabilities (e.g., zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, MCP gateways). Proven track record in defining and implementing enterprise-level data and solution architectures, including experience with data mesh or data fabric principles. Comprehensive understanding of the broader analytics ecosystem, including diverse BI/reporting tools (e.g., Tableau, ThoughtSpot) and complex downstream consumption patterns. Previous experience guiding technical teams and presenting complex technical concepts to senior leadership.Snowflake Gen AI certification preferred
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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