Data analyst jobs in Marina, CA - 461 jobs

About the Team The Video Safety Operations (VSO) Reports & Insights Team architects diagnostic frameworks and builds automated data solutions to elevate operations performance. Our mission is to sustain a safer video ecosystem via data-driven excellence. We: * Architect and Maintain core metrics, scorecards, and interactive dashboards * Drive Performance through granular targets, root-cause analysis, and automated reporting * Empower Decisions with ad hoc insights, strategic guidance, and actionable business intelligence Responsibilities: 1. Design, update, and implement moderation performance data metrics & attribution frameworks. 2. Set granular targets and design performance scorecards, monitor target completion rates, navigate root causes and coordinate XFN solutions for performance driving. 3. Develop and maintain strategic data dashboards and automation solutions. 4. Conduct topic deep-dive analysis to enable cross-functional (XFN) decision making.Minimum Qualifications: * Bachelor's degree or above in Math, Statistics, Computer Science, Information Systems, or related fields. * 5 years of experience in data analysis, business insights enablement, or business intelligence. * Strong ability to independently complete data analyses and deliver actionable, well-reasoned insights. * Profound knowledge of content moderation operations and strategies, including quality measurement, capacity planning, target setting, and performance scorecard planning. * Professionalism in metric system setup, attribution analysis, and target-setting methodologies; ability to manage multiple tasks effectively. * Proficiency in Data Visualization (Tableau/Power BI), SQL, Excel, and Statistics (Python is a plus). Preferred Qualifications: 1. Experience using Datapower & Aeolus and other TnS platforms as a plus.

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: - Analyzing search ranking and relevance requirements, issues and opportunities - Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. - Building end-to-end production system including query understanding and ranking to power search - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing Excellent data analytical skills Good interpersonal skills and team player PhD preferred PhD, MS or equivalent experience Experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C++

DATA ANALYST IV Performs business and data requirements gathering and data analysis tasks. Works directly with internal customers to understand the business environment and needs. Identifies and documents relevant data design, process and specification issues. Understands business context and problems and communicates them clearly in written and oral format. Works with the business users to understand and document the functionality requirements. Understands fundamental concepts, processes, practices, and procedures of the specific professional or technical assignment or in specialty area. Performs complex tasks where and learns to apply training to practice. Uses established procedures and works independently in support of objectives. Role Requirements: Minimum Qualifications, Knowledge, Skills, and Abilities: Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field. May substitute equivalent combination of education and experience. Years of Experience: 10+ years in data analysis. Proficiency Level Required with MS Office Products: advanced. Experience with one or more of the following: PL/SQL, SQL, SAS, R, Python, Java. Certification for Oracle DBA. Excellent conceptual, analytical and quantitative skills. Strong collaboration skills to work with a diverse set of roles and responsibilities across business and IT. Must be able to effectively communicate with and influence team members at all levels. Work well on a team and individually with the ability to plan and schedule activities to accomplish objectives in dynamic environment. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for a DoD Top Secret/SCI clearance or higher. U. S. Citizenship required per government contract

Job Title: AI Data Center Operations Contractor Job Type: Contract (6 - 12 months) Work Model: Onsite America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Position Overview: SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This specialized role demands extensive operational experience managing high-performance computing environments that support AI/ML workloads. The ideal candidate brings knowledge of running AI data centers at scale, with demonstrated expertise in power management, thermal control, preventive maintenance protocols, and incident response procedures specific to GPU-intensive infrastructure. Responsibilities: * Optimize AI Infrastructure Performance: Apply your operational expertise to enhance the performance, reliability, and efficiency of our AI computing systems. Ensure continuous availability of critical infrastructure while managing the unique demands of high-density AI workloads - including extreme power consumption, elevated thermal output, and advanced cooling requirements. * Monitor & Manage Critical Systems: Lead daily operations by monitoring real-time power consumption across GPU clusters, proactively managing cooling systems to maintain optimal thermal conditions, and coordinating water resource use for cooling infrastructure. Develop and refine AI-specific Standard Operating Procedures (SOPs) to empower teams to respond swiftly and effectively to routine maintenance and emergency situations. * Ensure Regulatory Compliance: Maintain strict adherence to operational permits, environmental regulations, and industry certifications. Conduct regular facility audits, serve as the primary liaison with regulatory inspectors and utility providers, and ensure all operational activities remain fully aligned with permit conditions and certification standards. * Lead Technical Optimization Initiatives: Serve as the technical lead in implementing power and thermal management strategies that balance peak performance with energy efficiency. Optimize cooling distribution to eliminate thermal hotspots and strategically schedule maintenance windows to minimize disruptions to AI training and inference workloads Continuous Contribution Areas: * Identify efficiency improvements and develop enhanced monitoring capabilities to support AI workload management. * Establish best practices for operational workflows and create comprehensive documentation for critical procedures. * Implement automation where appropriate to reduce manual intervention and improve operational consistency Qualifications: * Demonstrate concrete operational capabilities through hands-on experience managing AI or high-performance computing data centers. * Minimum 5 years of data center operations experience, including at least 2 years focused specifically on AI/ML infrastructure operations. * Direct experience managing facilities supporting GPU clusters with power densities exceeding 30 kW per rack. * Deep operational knowledge of cooling systems in AI/ML environments - including liquid cooling, chilled water systems, and advanced thermal management technologies. * Proven ability to maintain target operating temperatures in high-density compute environments and troubleshoot cooling system failures under pressure. * Comprehensive understanding of power management - including UPS systems, generator operations, PDU management, and electrical load balancing. * Skilled in reading and interpreting electrical diagrams, coordinating with utility providers during planned/unplanned outages, and implementing emergency power protocols. * Expertise in permit compliance and certification maintenance - including environmental permits, water discharge permits, air quality regulations, and ongoing certifications such as ISO or Uptime Institute operational sustainability standards. Preferred Qualifications: * Bachelor's degree or equivalent practical experience * Technical depth paired with operational pragmatism - combining hands-on facility management with strategic thinking. * Experience working in 24/7 operations teams, responding to critical incidents, and maintaining uptime targets exceeding 99.9% in demanding environments. * Ability to balance performance requirements with cost efficiency - with a strong commitment to safety and compliance. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $110,000-$160,000 USD

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Prior work experience or internships involving data analysis or related fields is a plus. Proficiency in statistical analysis and the use of various data analysis tools and software. Strong skills in programming languages relevant to data analysis, such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI). Ability to clean, manipulate, and analyze large datasets to derive actionable insights. Excellent problem-solving skills and attention to detail. Strong organizational and project management abilities, capable of managing multiple tasks simultaneously. Effective communication and interpersonal skills, with the ability to present complex data in a clear and concise manner to non-technical audiences. A proactive approach to learning and applying new analytics techniques and tools.

Performs complex data analysis in support of ad-hoc and standing management or customer requests. Develops programs, methodologies, and files for analyzing and presenting data. Uses and supports database applications and analytical tools. Evaluates data quality, applications, and functions. Produces output and maintains operation. Researches new data sources and analytical tools. Contributes to new product development and improvement in product delivery and presentation. Develops awareness of and familiarity with issues and events affecting organization, department, and/or customer. Uses timely and appropriate participation of users/customers in data collection and query systems.: Provides accurate and appropriate interpretation of data, applying knowledge to evaluation, analysis, and interpretation of data. Develops appropriate methodologies for collecting, analyzing, and presenting data products. Develops useful and insightful information from a variety of data sources. Works with management and/or customers to develop and understand product specifications. Communicates regularly and effectively with team members and management, and communicates results effectively to management and/or customers. Delivers data products in report/presentation format, or verbally, to management and/or customer specifications and timelines. Points out system or process problems when noticed and engages the team in problem solving. Facilitates satisfactory communication and resolution of problems. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization). In addition to robust statistical knowledge, it is vital to have strong intellectual curiosity, and a passion for achieving practical business impact. Skills in quantitative analysis, problem definition, and an attention to detail are required. Responsibilities Work with product partners to find practical solutions to our business problems based on data. This will require an ability to translate problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising Set up testing (A/B test or pre-post) to measure performance in the best possible way Analyze large sets of data to understand the impact of product changes on the customer journey and to traffic/revenue goals. Drive cohort studies and drive analyses to understand customer behavior and find opportunities for improving our product(s) Transform scientific/data analysis and communicate business performance in a clear and insightful way to the product teams to facilitate timely and informed decision-making Ensure statistical rigor is applied to all analyses and business recommendations Requirements A Bachelor's Degree in Statistics/Mathematics or quantitative field required (or equivalent experience equivalent) 10+ years of experience as a business analyst, data scientist, or related field Understanding of statistics, experimental design, and causal inference. Excellent SQL skills as well as experience with common data and statistical toolkits such as R, Python, PySpark etc. Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc. Prior experience in performance measurement, creatively applying regression techniques / modeling, optimization techniques , A/B testing, etc . for business applications The skills to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical partners An ability to spot and pursue opportunities as well as to translate high-level directions into practical projects and lead/drive their completion with minimal supervision. Excellent written, verbal, and social skills with the ability to communicate with all levels in the organization in a clear, timely and effective manner

Our client, a world leader in diagnostics and life sciences, is looking for a "Data Coordinator II” based out of Santa Clara, CA. Job Duration: Long term Contract (Possibility Of Further Extension) Pay Rate: $35/hr on W2 Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K Responsibilities: Maintain calibration and qualification records for all laboratory instruments and equipment (electronic + physical). Process and review documentation related to calibration, qualification, commissioning, and validation. Enter calibration and maintenance data into asset management systems (Blue Mountain RAM, SAP, ASPIRE). Generate calibration and maintenance recall/status reports for stakeholders. Track and manage laboratory assets, including induction into asset management systems. Handle shipping, receiving, and tracking of instruments sent for external calibration. Coordinate scheduling between internal customers and external vendors for calibration/qualification services. Monitor purchase orders, service costs, and generate related metrics. Escort vendors into controlled laboratory spaces and ensure compliance with site policies. Support internal and external audits through data preparation and record review. Assist with projects, data integration initiatives, and other administrative duties as assigned. Skills: Strong written and verbal communication skills (professional email correspondence, reporting). Proficiency in Microsoft Office (Excel, Word, Outlook) and Google Suite (Sheets, Docs). Hands -on experience with asset management platforms (e.g., Blue Mountain RAM, SAP, ASPIRE). Familiarity with laboratory instrumentation, calibration processes, and qualification events. Ability to organize and track multiple assets, vendor schedules, and service records. Detail -oriented with strong documentation and compliance mindset (GMP/GxP awareness preferred). Analytical skills for generating reports, metrics, and audit support. Education: Associate's or Bachelor's degree in Life Sciences, Engineering, or related technical discipline. Minimum 1 year of experience in the bio pharmaceutical, biotechnology, or medical device industry (or similar regulated environment). Prior exposure to calibration, qualification, or laboratory operations is a strong plus. If interested, please send us your updated resume at **********************

As a Data Analyst at Universal Audio, you'll be a part of a high-impact Data & Analytics team that empowers data-driven decision-making throughout the company. You will be a part of a small team tasked to design and build highly scalable modern cloud-based data solutions that help improve the customer experience and drive value for the business. You will work directly with business functions such as sales, marketing, finance, and product management to translate business requirements into data analytic solutions, using data and statistical modeling to inform strategic business decisions that impact the continued success of Universal Audio. Key Responsibilities: Deliver solutions to support enterprise information management, business intelligence, data analysis, and other business interests Partner with key stakeholders to define success metrics and develop measurement frameworks Explore complex data sources, becoming a subject matter expert in all the data driving Universal Audio's business, from marketing, sales, and customer behavior to web clickstream, and complex customer software and hardware use data You will translate complex business questions into analytic approaches and data sets that can drive a self-service model for analytic data access throughout our business Apply advanced statistical methods, data modeling, and predictive analysis to answer strategic and operational business questions Requirements: Strong Python and/or R skills and familiarity with statistical and data science libraries (e.g., scikit-learn, pandas, matplotlib, ggplot2, tidyverse, carat, R stats, etc.) Some experience with software engineering best practices, including story estimation, test-driven development, code review, and version control with git Fluency with descriptive and inferential statistical techniques, including experimental design (DOE), linear and non-linear regression techniques, and time-series modeling. Commitment to collaboration and regularly presenting progress, insights, and recommendations to stakeholders Good technical writing and documenting Expertise in writing complex SQL queries and understand the methodologies to tune/improve query performance Knowledge of data modeling techniques for building and managing both physical and logical models Knowledge of data visualization tools such as Tableau or Looker Understanding of agile project approaches and methodologies Experience and Education Bachelor's Degree in a quantitative field 4+ years hands-on professional experience in Analytics and / or Data Science. 4+ years of experience with SQL databases, advanced SQL coding, and using Python and/or R for Data Analysis in a professional environment

As an associate with 360 IT Pro you will be working with a company that specialises in matching well-qualified professionals to clients who need to have excellent resources. Our associates are carefully selected, interviewed, qualified and then placed into client companies for a specific purpose. Our competence with has helped our associates to gain significant momentum in their career and our clients to streamline their business processes and customise their modules to suit their business environment, Job Description: Need Healthcare Business Analyst/Data Analysts Gather/validate requirements with stakeholders and the project team Discuss issues and questions related to claims data analysis, issue documentation Work with business stakeholders to review and resolve these issues. Support all phases of the software development lifecycle (SDLC). Experienced with Agile methodology is MUST. Proficient MS Office, MS Project, Rally, Visio Additional Information All your information will be kept confidential according to EEO guidelines.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. What you get to do in this role Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. Develop quick utility dashboards and reports to help accelerate and scale insights delivery Qualifications Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later. Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Demonstrated ability to work collaboratively SQL skills with the ability to perform effective querying involving multiple tables and subqueries. Experience with Tableau and/or Power BI (or similar analytical packages) required. Advanced Excel and PowerPoint skills. Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. Introduction We are looking for an enthusiastic intern to join our team and help us explore innovative ways to process large volumes of equipment data using Artificial Intelligence (AI). This internship offers a unique opportunity to work on cutting-edge technologies and contribute to transforming how we manage and analyze machine data collected from customer sites. Background Information Our team is responsible for managing and analyzing equipment data generated by machines deployed at customer locations. Currently, processing this data involves tedious manual activities and the use of existing scripts with limited flexibility. These challenges hinder scalability and efficiency, creating a strong need for automation and smarter solutions. Your Assignment: The intern will investigate emerging AI technologies and techniques to improve data processing workflows. The goal is to identify opportunities where AI can replace or augment manual processes and develop proof-of-concept solutions to showcase potential improvements. Research AI methods applicable to data processing and automation. Analyze current workflows and identify areas for improvement. Develop prototypes or proof-of-concept solutions using AI tools and frameworks. Document findings and present results to the team. Requirements: Minimum 60 hours completed towards a Bachelor's degree in an Engineering field and an expected graduation date of December 2026 or May 2027.with experience in working with data analysis tools and techniques. Problem Statement: Big amounts of equipment data are being collected from our machines at customer sites. Processing of that data heavily relies on manual activities and rigid scripts. This internship aims to explore AI-driven approaches to automate and optimize these processes. What Makes This Internship Interesting: You will work on real-world industrial data challenges, gain hands-on experience with AI technologies, and contribute to shaping future solutions for data-driven operations. The current base annual hourly range for this role is currently $18.00 - $48.00. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

THE OPPORTUNITY TechInsights is looking for a qualified and motivated individual with a strong industry and market research background to join our Mobile Device team as an Industry Senior Analyst primarily focused on smartphone industry. The Mobile Industry Analyst is responsible for gathering and analyzing market data, maintaining assigned databases, and preparing presentations. The position also requires leading and conducting customized ad-hoc projects per clients' requirements. Additionally, the role is responsible for interacting with clients and prospects, responding to customer inquiries, and communicating thought leadership. WHAT YOU WILL DO Research company activity, market drivers and technology developments around smartphone and mobile device industry and ecosystem and develop a deep understanding of current and emerging industry trends. This includes insight and analysis across both supply and demand. Conduct primary and secondary research and consolidate data from multiple sources. Lead and conduct customized ad-hoc projects per clients' requirements. Research, write and publish reports on smartphone market trends on a timely basis. Client Inquiry support - prioritize and respond to customer requests. Support global / regional and country level forecasts and analysis by providing detailed insight into market trends Research and collect data about smartphone and mobile device markets by utilizing in-house custom surveys, reviewing public company earnings, participating in analyst days, and many other activities, including attending events. Update company models with segment revenues and price tier brackets Analyze financial statements of companies in smartphone, mobile device and related industries Maintain and update customized databases to cater key clients' needs Collaborate with other analysts and IT to effectively manage and communicate results to customers As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations.WHO YOU ARE Bachelor's Degree or equivalent work experience 4-7 years of experience, with project management and implementation skills Strong quantitative, logic, qualitative research skills Ability to analyze the financial statements of public companies Expertise in MS Excel, Word, and PowerPoint Polished written and oral communication skills Ability to write short form research and blogs (in English) Prefer experience with relational databases and basic knowledge of SQL Prefer experience with excel macros and basic knowledge of VBA Motivated to learn about the emerging technologies and trends around mobile industry Knowledge of the semiconductor industry is a plus, but not a requirement WHY WORK WITH US High growth company driven by high performance Competitive pay and generous benefits (medical, dental, vision, wellness) Expected salary: $142,000 - $150,000 USD Flexible vacation policy Annual fitness reimbursement Strong sense of camaraderie, mutual respect and shared goals among colleagues Support for community through charitable alliances Professional and career development opportunities Wellness resources and support from management OUR STORY TechInsights is the information platform for the semiconductor industry. Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights' content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry-past, present, or future. Over 650 companies and 150,000 users access the TechInsights Platform, the world's largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights' customers include the most successful technology companies, who rely on TechInsights' analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit ********************* Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We're committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together. TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: *******************************************

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description:- Strong RDBMS concepts Experience in database migrations SQL Server 2016 experience Familiar with tools like SSMA, MAP, DMA Familiarity with database administration activities Exposure to open source technologies(Elastic, Postgres, JBOSS, NoSQL) Experience in providing advanced technology advisory services. Understanding of market and technology trends. Analytical skills Experience and desire to work in a management consulting environment that requires regular travel The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 11 years of experience within the Information Technologies. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Fulltime job for you Only US Citizen, Green Card Holder, TN Visa, H4-EAD, GC-EAD & L2-EAD can apply. No OPT-EAD Consultants please. Please mention your Visa Status in your email or resume.

Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your role and responsibilities We are looking for a talented and highly motivated intern to help advance our efforts in building autonomous data management systems. The work will include using foundation models (FMs) and AI agents for tasks such as data discovery, knowledge representation, data access and retrieval with querying, and automated data-driven insights. This is the core of the role: turning FMs and AI agents into dependable partners for real data work across modern data stacks. Our focus is on research and development for data workflow orchestration - taking natural language all the way to trusted insights across multiple tools and functions. This includes step-by-step planning and reasoning for complex data workflows, developing low-computational-cost inference techniques so FMs and AI agents can efficiently automate or assist users on data tasks, and advancing trustworthy data agents where gauging factuality, faithfulness, and transparency of outputs over structured and unstructured data is critical. In this context, uncertainty quantification and mitigation, along with improved planning and reasoning, play a central role, providing useful tools to strengthen user confidence, manage model error propagation, and enable uncertainty-aware post-training. Together, these efforts make agentic solutions more efficient, accurate, and trustworthy. Skills and tasks of interest include: * [LLM for code generation] Using foundation models for code generation specific to data tasks such as SQL or NoSQL for data retrieval, python code generation for analytical insights. * [Knowledge Graphs, Multi-Modal FMs] Combining foundation models, knowledge graphs, multi-modal structured and unstructured data to improve data discovery and automated Text-to-SQL. * [FM Inference] Improving FM inference for both answer quality and computational cost. * [LLMs for DataOps] Creating generative-AI tooling for DataOps (e.g., data integration and flows), analogous to DevOps accelerators but for data engineering and analytics. * [Efficient and Reliable AI Agents] Creating efficient AI Agents that can reliably operate as part of an autonomous system. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * Pursuing graduate studies in computer science or related fields * At least one main author research publication at a top conference in AI such as NeurIPS, AAAI, VLDB, SIGMOD, IJCAI, ICML, ICLR, and ICAPS * Familiarity and working expertise with large language models Preferred technical and professional experience * Familiarity with knowledge graphs, SQL, RAG, Agentic frameworks * Familiarity with reinforcement learning, AI planning * Familiarity with prompt optimization techniques ABOUT BUSINESS UNIT IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Team Introduction: TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities: * Define success metrics to measure product growth and identify problems through monitoring or forecasting * Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations * Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis * Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications: * Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience * Proficient in data querying languages and at least one scripting language (e.g. Python,R) * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well Preferred Qualifications: * Internship experience in data science

Job Title: AI Data Center Operations Contractor Office Location: San Jose, CA Job Type: Contract (6 - 12 months) Work Model: Onsite At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Position Overview: SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This specialized role demands extensive operational experience managing high-performance computing environments that support AI/ML workloads. The ideal candidate brings knowledge of running AI data centers at scale, with demonstrated expertise in power management, thermal control, preventive maintenance protocols, and incident response procedures specific to GPU-intensive infrastructure. Responsibilities: Optimize AI Infrastructure Performance: Apply your operational expertise to enhance the performance, reliability, and efficiency of our AI computing systems. Ensure continuous availability of critical infrastructure while managing the unique demands of high-density AI workloads - including extreme power consumption, elevated thermal output, and advanced cooling requirements. Monitor & Manage Critical Systems: Lead daily operations by monitoring real-time power consumption across GPU clusters, proactively managing cooling systems to maintain optimal thermal conditions, and coordinating water resource use for cooling infrastructure. Develop and refine AI-specific Standard Operating Procedures (SOPs) to empower teams to respond swiftly and effectively to routine maintenance and emergency situations. Ensure Regulatory Compliance: Maintain strict adherence to operational permits, environmental regulations, and industry certifications. Conduct regular facility audits, serve as the primary liaison with regulatory inspectors and utility providers, and ensure all operational activities remain fully aligned with permit conditions and certification standards. Lead Technical Optimization Initiatives: Serve as the technical lead in implementing power and thermal management strategies that balance peak performance with energy efficiency. Optimize cooling distribution to eliminate thermal hotspots and strategically schedule maintenance windows to minimize disruptions to AI training and inference workloads Continuous Contribution Areas: Identify efficiency improvements and develop enhanced monitoring capabilities to support AI workload management. Establish best practices for operational workflows and create comprehensive documentation for critical procedures. Implement automation where appropriate to reduce manual intervention and improve operational consistency Qualifications: Demonstrate concrete operational capabilities through hands-on experience managing AI or high-performance computing data centers. Minimum 5 years of data center operations experience, including at least 2 years focused specifically on AI/ML infrastructure operations. Direct experience managing facilities supporting GPU clusters with power densities exceeding 30 kW per rack. Deep operational knowledge of cooling systems in AI/ML environments - including liquid cooling, chilled water systems, and advanced thermal management technologies. Proven ability to maintain target operating temperatures in high-density compute environments and troubleshoot cooling system failures under pressure. Comprehensive understanding of power management - including UPS systems, generator operations, PDU management, and electrical load balancing. Skilled in reading and interpreting electrical diagrams, coordinating with utility providers during planned/unplanned outages, and implementing emergency power protocols. Expertise in permit compliance and certification maintenance - including environmental permits, water discharge permits, air quality regulations, and ongoing certifications such as ISO or Uptime Institute operational sustainability standards. Preferred Qualifications: Bachelor's degree or equivalent practical experience Technical depth paired with operational pragmatism - combining hands-on facility management with strategic thinking. Experience working in 24/7 operations teams, responding to critical incidents, and maintaining uptime targets exceeding 99.9% in demanding environments. Ability to balance performance requirements with cost efficiency - with a strong commitment to safety and compliance. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range$110,000-$160,000 USD

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. + As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills.The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. **What you get to do in this role** + Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. + Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. + Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. + Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. + Develop quick utility dashboards and reports to help accelerate and scale insights delivery + Current enrollment in a **full-time bachelor's** program in Computer Science or a related discipline at an accredited university. + **Graduating December 2026, or later.** + Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). + Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. + Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. + Demonstrated ability to work collaboratively + SQL skills with the ability to perform effective querying involving multiple tables and subqueries. + Experience with Tableau and/or Power BI (or similar analytical packages) required. + Advanced Excel and PowerPoint skills. + Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. **Work Personas** We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here (************************************************************************************************************************************* . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. **Equal Opportunity Employer** ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. **Accommodations** We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ***************************** for assistance. **Export Control Regulations** For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.