Data analyst internship jobs in Fremont, CA

NVIDIA is the world leader in Accelerated Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the 'AI Computing Company', and our GPUs are the brains powering Deep Learning software frameworks, accelerated analytics, big data, modern data centers, and driving autonomous vehicles. We are seeking a Data Analyst to support our Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs. In this role, you will build system and operational workflows for business leaders to understand the current state, highlight problems, and provide recommendations to resolve issues. You will transform complex financial and operational data-primarily sourced from SAP-into intuitive, accurate, and trusted analytical solutions, such as Power BI or Tableau reports. You'll collaborate closely with Finance partners, IT, and data engineering teams to ensure data accuracy, reliability, and that reporting tools effectively support decision-making, performance tracking, and financial transparency. This hands-on role blends technical proficiency with business insight, ideal for someone passionate about making financial data more accessible and actionable. What you'll be doing: * Collaborate within Finance and cross-functional teams (e.g., FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document business process workflows-including manual steps and pain points-and develop clear resolution roadmaps. * Design and maintain Power BI/Tableau dashboards, curated datasets, and semantic layers to support planning, variance analysis, spend tracking, and capital/investment reporting. * Partner with IT and data engineers to extract, model, and prepare data from SAP (S/4HANA, ECC, BW, Datasphere, BDC) and other systems (e.g., Workday, Coupa) to ensure reliable data foundations. * Ensure reporting accuracy and performance through validation, documentation of critical metrics and logic, and enablement of self-service tools. * Support enhancements, change control, and improve SAP data accessibility within modern platforms (e.g., Databricks, Snowflake). What we need to see: * Bachelor's degree in Finance, Business, Information Systems, or related field (or equivalent experience). * 5+ years of experience in BI development or financial analytics with strong proficiency in Power BI and/or Tableau. * Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL, and data modeling. * Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams. * Strong attention to detail, communication skills, and commitment to data quality. Ways to stand out from the crowd: * Experience with SAP data extraction tools (e.g., CDS Views, BEx, ODP) and modern cloud platforms (Databricks, Snowflake, Synapse). * Proficiency in financial important metrics (general ledger, cost centers, working capital) and experience with reporting automation or expediting financial close. * Exposure to semantic layer development, governed datasets, Python, or AI/ML tools. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you! As you plan your future, see what we can offer to you and your family ************************ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 195,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 10, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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 Array

The Data-Speech department is dedicated to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire content pipeline - from production and editing to consumption - empowering content creation and interaction. Operating as a central platform, the team provides cutting-edge technological capabilities and solutions to multiple business units across the company. Responsibilities: 1. Provide in-depth analysis and language-specific knowledge to ensure high-quality, linguistically informed speech model outputs in the target language. 2. Work closely with cross-functional teams to research local market trends and voice preferences to deliver localization solutions and enhance language adaptation of several global products. 3. Assist in the management of speech and annotation data, to ensure compliance with existing standards. Provide detailed feedback on speech model performance, contributing to iterative model improvements.Minimum Qualifications: 1. Currently enrolled in an undergraduate or graduate program in Linguistics, Language Studies, Computational Linguistics, or a related discipline. 2. Native proficiency in English and one of the following languages: Indonesian and Korean. Native-level fluency in these languages will be essential for monitoring the quality of language data, evaluating speech model outputs, and researching cultural trends in these corresponding regions. 3. Ability to provide clear, objective, and structured descriptions of linguistic features of the target language, without relying on native intuition. 4. Strong phonetic perception, including the ability to distinguish phonemic contrasts and fine-grained errors in pronunciation, prosody, intonation and pitch. Preferred Qualifications: 1. Relevant experience in TTS or LLM. 2. Experience in programming, including but not limited to C, C++, Java and Python. 3. Familiarity with local popular culture associated with the target language.

Job Details San Francisco - SAN FRANCISCO, CA Full Time $85600.00 - $101650.00 Salary/year Description Data Analyst Common Sense Media is dedicated to improving the lives of kids and families by providing the trustworthy information, education, and independent voice they need to thrive. Our ratings, research, and resources reach more than 150 million users worldwide and 1.4 million educators every year. Learn more at commonsense.org. Job Overview: We're looking for a Data Analyst to join our growing data team and help drive product innovation and membership growth at Common Sense. In this role, you'll analyze user behavior and engagement across our website and mobile apps, turning complex data into clear, actionable insights. Your work will directly influence product development, marketing strategy, and the overall user experience for millions of families. You'll collaborate closely with Product, Marketing, and Engineering teams, helping us measure success, improve decision-making, and expand our self-service analytics capabilities. We're also exploring how AI-powered analytics tools can accelerate insights, automate reporting, and support smarter experimentation, and you'll play a role in shaping that direction. Location: San Francisco, California Reports To: Senior Director, Data & Technology Salary: $85,600-$101,650 per year Type: Full-time, exempt What You'll Do Data Analysis & Insight Delivery Analyze user behavior, engagement patterns, and conversion funnels across web and mobile. Identify opportunities to improve the user experience by mapping cross-platform user journeys. Generate actionable insights to inform product features, marketing campaigns, and growth strategies. Partner with the Product and Marketing teams to define success metrics and ensure accurate event tracking. Experiment with AI-driven analytics tools to automate analysis, uncover trends, and speed up insight generation. Reporting & Communication Build and maintain dashboards and reports that track KPIs across web and app experiences. Create compelling visualizations and narratives that make data accessible to stakeholders at all levels. Present findings and recommendations to leadership, driving data-informed decision-making. Contribute to developing best practices in reporting, including AI-assisted data visualization and storytelling. Data Quality & Governance Ensure accuracy and consistency in tracking and reporting across analytics platforms. Collaborate with Engineering on event taxonomy, tracking validation, and implementation. Support the migration from Google Analytics to Amplitude, and help document best practices. Strategic Contribution Provide insight into acquisition channels, retention drivers, and cross-platform engagement. Support A/B testing and experimentation programs to optimize product and marketing initiatives. Analyze content performance and usage trends to inform the product road map. Explore how emerging AI analytics solutions can augment experimentation, predictive modeling, and personalization. What We're Looking For Required Qualifications 4+ years of experience in data analysis, product analytics, or business intelligence. Strong SQL skills for data extraction and analysis. Hands-on experience with a product analytics platform (Amplitude, Mixpanel, Heap, etc.) and the ability to learn new tools quickly. Solid understanding of statistical analysis and A/B testing. Proficiency with data visualization tools (Excel/Google Sheets, Tableau, Power BI, or similar). Curiosity about and/or experience with AI-assisted analytics platforms (e.g., ThoughtSpot, Akkio, ChatGPT-powered BI, or similar emerging tools). Strong business acumen, with the ability to translate data into strategic insights. Excellent communication skills, with the ability to tell stories with data and influence non-technical stakeholders. Collaborative approach to working with the Product, Marketing, and Engineering teams. Bachelor's degree in a quantitative field (data science, statistics, economics, mathematics, etc.). Preferred Qualifications Direct experience with Amplitude and/or GA4. Familiarity with email marketing metrics and platforms (e.g., Braze, Salesforce Marketing Cloud). Experience designing and analyzing experiments (A/B testing platforms a plus). Knowledge of ETL pipelines, data warehouses, and SQL databases. Experience with consumer-facing digital products, mobile apps, or membership-based platforms. Background in content platforms, edtech, or family-focused organizations. Python or R skills for advanced analysis. What We Offer: The chance to work with talented, passionate professionals. A great health and welfare benefits package, including medical, dental, vision, and a matching 401(k). An organization that offers work/life balance. The opportunity to really make a difference in the lives of kids and families! Common Sense Media provides equal employment opportunities to all qualified individuals and prohibits discrimination and harassment of any type without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification or characteristic protected by federal, state, or local laws. Common Sense Media will also consider for employment qualified applicants with arrest and conviction records. However, job offers are made on the condition that the applicant subsequently passes a criminal background check. If the background check indicates a prior criminal conviction, we will conduct an individualized assessment to determine whether the conviction should result in denial of employment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records.

As a Data Scientist Intern at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. Analytics: You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. Qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience Currently is in the process of obtaining a PhD degree in quantitative field Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Curious, self-driven, analytical and excited to play with data Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Ability to thrive in a fast paced work environment Intent to return to a degree-program after the completion of the internship Responsibilities: Perform large-scale data analysis to extract useful business insights. Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups. Work closely with a Product Manager and Engineering team to proactively create metric systems and manage decisions. Classify leads so that the teams work on the most valuable cases. Suggest improvements in the tools and techniques to help scale the team and/or build 0->1 convictions on new initiatives. Model solutions around what delivers long-run user value to our users

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Qualifications Required qualifications: • At least 5 years of IT related experience • 3-5 years working with databases with demonstrated expertise in SQL, PL/SQL, Oracle 11, ETL tools, Data conversion, Data De-duplication, Data Cleansing methodologies • Be able to build SQL data queries • Demonstrated experience in analyzing data sets and Effective at understanding a problem and developing one or many approaches to solving the problem. • Assist in designing, planning and managing the data migration process. • Work with subject matter experts and project team to identify, define, collate, document and communicate the data migration requirements. • Experience in Data Migration methodologies • Highly effective working in a team, as well as working independently. • Perform source system data analysis in order to manage source to target data mapping. • Perform migration and testing of static data and transaction data from one core system to another. • Perform data migration audit, reconciliation and exception reporting. • Assist with the identification of trends or patterns in complex data sets • Filter and “clean” data, and review reports, printouts, and performance indicators Create Test Plans and Test Cases for all scenario types and execute. (i.e. positive, negative testing, boundary) Verify requirement traceability from System Requirements through test cases and defects Ensure that testing activities will allow applications to meet business requirements and systems goals, fulfil end-user requirements, and identify and resolve systems issues Work with the developers to understand the technical requirement/design being built in a project Validate Test Preparation of environments and verify all teams are aligned with what needs to occur to build/prepare the test environments Coordinate, track and report regularly on execution of system testing Verify defects are effectively recorded, communicated and understood Analyze and ensure test results and changes/defect are reflected in the test case and test cases are updated appropriately based on resolution Identify and recommend process improvements as necessary Excellent written and oral communication skills Excellent listening and interpersonal skills (includes but not limited to peers, managers, and the business) Excellent organizational skills to manage a wide array of testing information Strong knowledge of system testing and software quality assurance best practices and methodologies Additional Information Thanks & Regards, Saikat Ghosh Senior Technical Recruiter Desk: ************** Ext. 7452 Direct: **************

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 Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

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.

Data Analyst 3 Job ID: 25-12018 Job Title: Data Analyst Duration: 12 Months Work Type: W2 Payrate: $69.01/hr * Design, develop, and maintain Power BI dashboards and reports that provide clear, actionable insights for business stakeholders. * Collaborate with cross-functional teams (Product, Growth, Finance, Engineering) to understand reporting needs and translate business requirements into effective Power BI solutions. * Build efficient data models and define DAX measures to support interactive visualizations and performance tracking. * Write and optimize SQL queries to extract, transform, and prepare data from multiple sources for use in Power BI. * Ensure data accuracy and consistency across dashboards through data validation, QA checks, and documentation. * Support the definition and tracking of key metrics and KPIs to monitor business performance. * Maintain and enhance existing reports and data pipelines to improve efficiency, scalability, and user experience. * (Nice to have) Collaborate with analytics teams to integrate A/B test or experiment results into dashboards when needed. Skills: * Advanced Power BI expertise, including data modeling, Power Query (M), DAX, and building interactive dashboards. * Strong proficiency in SQL for data extraction, transformation, and performance optimization. * Solid understanding of data visualization principles and ability to communicate complex information clearly. * Familiarity with A/B testing concepts and basic statistical reporting (preferred, not required). * Experience working with cloud-based data platforms (e.g., Azure, Databricks, BigQuery, or Snowflake). * Excellent attention to detail and data quality assurance skills. * Strong collaboration and communication skills to work effectively with business and technical stakeholders. * Basic knowledge of Python or R is a plus but not required. * Job details *

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences. We're passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity This is an exciting opportunity to join the GTM (Go-To-Market) Finance team as we continue to propel the business through analytical forecasts and provide influential insights. We are looking for candidates who are passionate about using analytical techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. What you'll Do * Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners. * Own the development of innovative data science solutions to improve and scale our analytics infrastructure, while ensuring data integrity and trust within the organization * Build and maintain dashboards to enable self-serve of information * Build causal and predictive models to drive GTM team's Forecast, Plan, and other product-led analysis. * Deliver critical business analysis, as well as defining and reporting significant financial and operational metrics that lead to insightful & impactful business decision-making. * Deliver timely and accurate executive level reporting and insights. * Enable automated, easy access, self-serve, real time financial information (topline, expense and & headcount). * Support discussions about budget prioritization, ROI maximization, and GTM strategy * Ad hoc analysis as needed. What you need to succeed * Bachelors degree with 5 years of experience in Finance, Analytics, Engineering, Data Science, Statistics, or a related field of study. MBA/Masters in a quantitative field (e.g., Economics, Statistics, Engineering, Business Analytics) preferred. * Strong SQL skills and familiarity with at least one data science tool (Python or R). * Proficiency with data visualization tools (e.g., Power BI, Tableau). * Strong Excel skills and comfortable working with large data sets * Clear and effective communication, presenting data in a way that inspires action. * Data storytelling skills. * Strong self-starter, and proven results on delivering business insights that has driven product strategy. * Strong communication and collaboration skills At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $121,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

at Wind River Data Platform Intern Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE As a Data Platform Intern on our team, you'll be the data developer on an Integrated Data Platform who will model data and generate business-driven metrics, that will be illustrated through robust dashboards. In your daily job you will: * Develop SQL code in the Snowflake/dbt environment * Develop Python/Javascript to automate processes * Develop Tableau Data Sources for stakeholders to build dashboards * Apply best practices with regards to data models, dashboards, visualizations HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * Working towards a degree in Computer Science with emphasis in Data is a plus * SQL skills required * HTML, Python, Javascript experience required * Snowflake Data Warehouse is a plus * Tableau Cloud experience. * Building Tableau Data Source and Dashboards is a plus * Passionate about data and contributing to the growth of a data driven organization APPLICANT PRIVACY NOTICE: Your privacy is of the utmost importance to us. At Wind River, we strictly adhere to all applicable data privacy laws. Please review Wind River's Applicant Privacy Notice, which can be found here . "Wind River is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law" SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Diversity is foundational for Wind River's business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. Wind River does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. Wind River desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, Wind River provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are examined on a case-by-case basis. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring or at any other time during the employment process. You can email us at: [email protected]. Please do not include personal medical information in the email. More information about federal laws that prohibit job discrimination can be found at: www1.eeoc.gov/employers/poster.cfm ****************************************************************************************

About the Team The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI's breakneck shipping cadence and growth-and the expectation that it will only accelerate-transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI. About the Role We're seeking a User Operations Data Analyst who will dig deep into user‑support data-surfacing trends, volumes, and friction signals-and turn these findings into actionable insights and always‑on reporting. You'll design, build, and maintain self‑serve dashboards that keep every stakeholder informed in real time, partnering closely with Data Science and Engineering to ensure clean pipelines, robust models, and scalable tooling. Think proactive friction detection and real‑time service‑health views that help us stay ahead of demand-delivering decision‑grade insights, not just prettier slide decks. This role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Explore large support and product datasets to uncover trends, volume drivers, and user‑experience pain points, distilling findings into clear, actionable narratives. Build, enhance, and maintain self‑serve dashboards and reporting tools, enabling non‑technical teams to answer their own data questions. Establish a unified metrics taxonomy for service‑health and performance-and build automated data‑sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real‑time view of success Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes-powering smarter routing, richer self‑serve insights, and swifter root‑cause analysis. Partner with Data Engineering to ensure reliable pipelines, implement data‑quality checks, and document sources of truth. Jump into high‑priority special projects to conduct bespoke deep‑dive analyses and deliver clear, strategic recommendations to leadership. Prototype quickly-leveraging ChatGPT, Jupyter notebooks, Retool, and other tools-to prove value before hardening with Engineering. Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations. You might thrive in this role if you: 8 + years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams. Expert‑level SQL skills and proficiency in Python or R for advanced analysis and automation Hands‑on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self‑serve usability. Hands‑on experience fine‑tuning or prompt‑engineering LLMs to build text classifiers, sentiment analysis, or tagging systems. Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non‑technical audiences. Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs. Strong cross‑functional communication skills-comfortable collaborating daily with engineers, data scientists, and operations leaders. An eye for detail, a zero‑defect mindset, and a bias toward action over theoretical perfection Possess a strong bias for automation and can defend governance decisions that keep data and processes healthy as they grow. Thrive in a fast‑moving, ambiguous environment where priorities can shift quickly. #LI-NM2 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Description Salary: $165K to $220K Visa Sponsorship: Available About the Role: We are seeking a Product Operations Data Analyst to thoroughly analyze user support data, identifying key trends, friction points, and actionable insights. You will play a critical role in shaping our product's success by building and maintaining self-service dashboards, enabling stakeholders to make informed decisions in real-time. This role focuses on proactive friction detection and creating a real-time service health view to ensure we are always ahead of customer demand. You will work alongside product, sales, and engineering teams to ensure clean data pipelines and robust models, ultimately driving continuous product improvement and growth. Responsibilities: Build & Maintain Dashboards: Design, enhance, and manage self-serve dashboards that empower non-technical teams to make data-driven decisions. Data Driven Insights: Dive into large datasets to uncover trends, user pain points, and volume drivers, distilling your findings into clear, actionable insights for both technical and non-technical teams. Service Health Metrics: Establish a unified metrics taxonomy and build automated data pipelines and scorecards to provide real-time visibility on performance and service health. Collaborate Cross Functionally: Partner closely with Product, Engineering, and Sales teams to ensure streamlined data flows and actionable insights are accessible across the organization. Special Projects: Lead deep dive analyses on high-priority initiatives, delivering clear recommendations and strategic guidance to leadership. Prototyping & Experimentation: Quickly prototype solutions using tools like ChatGPT, Jupyter notebooks, and Retool, collaborating with Engineering to refine models and experimentation. What You'll Bring: Experience: 5+ years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams. Technical Expertise: Advanced proficiency in SQL and Python or R for analysis, automation, and model building. BI Tools: Hands-on experience designing and maintaining dashboards (e.g., Looker, Mode, Tableau) with a focus on clarity and usability for non-technical users. Metrics Expertise: Familiarity with support metrics (SLAs, FCR, deflection) and the ability to define and track service health KPIs. Communication: Strong cross-functional communication skills with experience collaborating closely with engineers, product managers, and leadership. Detail Oriented: A strong attention to detail with a bias toward action and results, ensuring clean data and operational efficiency as the business scales. Automation Focused: A passion for automation and data governance, ensuring processes are scalable and maintainable as the company grows. What Were Looking For: Willingness to be in the office in San Francisco 3 days a week. Strong communication and problem-solving abilities. Comfort with shifting priorities in a fast-paced environment. A proactive approach with a focus on driving tangible results.

About this opportunity Align Technology is seeking talented and innovative Undergraduate Business Interns across our organization. We are excited to offer students opportunities that can launch big careers. With a global reach beyond 1 million consumers, we're the team that's changing lives and making the world a better place through more smiles. We view interns as essential to the ongoing growth and innovation of our company. The Data Scientist Intern in the Product R&D group at Align works closely with engineers from various backgrounds including biomechanics, materials, software, data analytics and clinical research. He/she is responsible to perform data analysis, build machine learning models, and extract product insights from Align's digital clinical database to support the company's product development activities and transform the orthodontic world with the Invisalign product. This is a unique opportunity to explore data insights in the dental world. In this role, you will… * Be agile, accountable, and customer-centric - These are the values we are built on! * Work both independently and collaboratively within a fast-paced environment * Extract parameters from SQL database and conduct data cleansing and feature engineering * Build, optimize, validate, and interpret machine learning models or business logic * Use innovative techniques to create and expand labeled data for supervised learning * Identify key insights from analytical results, prepare well-documented reports/presentations * Develop a comprehensive understanding of the Invisalign products and database parameters * Transform business requirements to executable technical action items * Work efficiently in a fast-paced environment and meet critical deadlines * Multi-task and prioritize requests to meet the most important and urgent business needs In this role, you'll need … * Must be currently enrolled at an accredited college or university pursuing a Bachelor's, MS, or PhD degree with at least one quarter/semester to complete after internship. * Must be available to work full time during the summer months (May - August) * This position is located in our San Jose office and requires in-person attendance at the office 5 days a week from May-August 2026. Relocation assistance is not provided. * Relevant experience in data mining, statistical analysis, and machine learning modeling * Proficiency with querying relational database (e.g. SQL) * Experience with scripting languages such as Python or R * Ability to learn quickly and absorb various techniques and knowledge * Good communication skills to clarify business needs * Strong written and verbal communication skills and ability to work in a team environment * To be detailed oriented and well-organized with great time management skills Sound like a good fit? Great! Click the Apply link below to let us know you are interested. Not the right fit? Don't worry, there are lots more opportunities. Please consider sharing this opportunity with others in your network. About Align Invisalign clear aligners, iTero Intraoral scanners, and OrthoCAD digital services that help dental professionals achieve the clinical results they expect and deliver effective, cutting-edge dental options to their patients. We respect your privacy. Please review our Applicant Privacy Policies for additional information. Global Diversity Statement: At Align, we believe in the power of a smile, and we know that every smile is as unique as our employees. As we grow, we will continue building a workforce of diverse cultural backgrounds and life experiences and fostering a culture of open-mindedness and compassion for all our employees. We live our company values by promoting healthy people and healthy communities. All with the intent of changing millions of lives, one unique smile at a time. Equal Opportunity Statement: Align Technology is an equal opportunity employer. We recruit, employ, train, compensate and promote regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran or disability status. .

About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. This internship will take place from January - April or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. About The Role: Millions of people use Notion - and this number is increasing every day. That means a million people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. This is where you come in. You will be one of our first data science interns and will help us forge a performant and reliable path forward to Notion's future. During your 12-week internship, you will be paired with a mentor that will help guide you as you work closely with our team to build and ship impactful projects. These projects will drive valuable impact to our customers. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Targeting a full time start date prior to Summer 2027. This internship will take place from January - April (for winter) or May - September (based on your summer schedule) and you will need to be able to work out of our SF or NYC office during this time. Previous data science internship experience. Proficient in SQL for data extraction, transformation, and analysis. Working towards proficiency in one or more scripting languages such as Python or R. You find large challenges exciting and enjoy discovering problems as much as solving them. You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. Skills You'll Need to Bring: Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact-good and bad. Willingness to learn: If you haven't worked in the SaaS productivity tool space before or have never analyzed an A/B test, you are open to acquiring the necessary domain knowledge and skills to contribute. Balance work quality and speed: You can deliver high-quality, accurate analyses while recognizing that the goal is to influence business decisions rather than achieve perfect measurement. Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. Nice to Haves: You have previous intern experience working with product, engineering, or GTM teams. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others-and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $55/hr for Bachelors and $59/hr for Master's. #LI-HYBRID

About the role Muon seeks experienced candidates for the position of Data Science intern. Muon Space is building FireSat, a constellation dedicated to revolutionizing wildfire management and response. The candidate will work closely with the infrared Data Team to develop processing and analytics for the FireSat mission. The ideal candidate has a strong data science foundation, coding experience, and domain knowledge of geospatial data processing. Muon is looking for self-motivated candidates who are comfortable working with a remote team. We welcome applicants who are passionate about addressing climate change. Responsibilities: Internship projects may include some or all of the following: Data Analysis & Processing: Clean, preprocess, and analyze raw data from the FireSat IR camera and simulation to develop exquisite quality data. Model Development: Assist in building, validating, and deploying analytical and machine learning models to improve data quality and improve derived wildfire products. Data Visualization: Create visualizations to present findings and insights to both technical and non-technical stakeholders. Collaboration: Work embedded in the IR Data Team alongside scientists, engineers, and software developers to meet the objectives of the FireSat mission. Research & Innovation: Contribute to research initiatives aimed at advancing data science methods used by the IR Data Team. Qualifications: Educational Background: Currently pursuing a degree in Computer Science, Data Science, Engineering, Physics, Mathematics, or a related field. Technical Skills: Strong programming skills in Python. Comfortable with collaborative coding workflows; specifically, git-managed repositories, pull requests, and cloud-based virtual machine environments. Experience with data manipulation and analysis using libraries such as pandas, numpy, and scikit-learn. Knowledge of data visualization tools (e.g., Matplotlib, ipyleaflet, QGIS). Analytical Thinking: Ability to approach problems methodically and solve complex data challenges with creative and effective solutions. Data Experience: Experience working with messy, complicated real-world data Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain complex concepts to a diverse audience. Passion for Climate: A strong interest in addressing climate change through the development of new technology. Nice-to-have Skills: Experience working with geospatial data processing concepts and software (geopandas, rasterio, GDAL; projections, remote sensing data) Knowledge of cloud computing platforms (e.g., AWS). Familiarity with machine learning algorithms and frameworks (TensorFlow, PyTorch, etc.). Experience working with remote sensing data. Salary The hourly wage for this role is $50. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, we provide equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. Job Description As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities Perform large-scale data analysis, find interesting patterns and translate them into product improvements Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives Develop data infrastructure and improve data collection and processing tools and techniques Qualifications Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred Proficient in SQL and able to write complex SQL queries Experience with scripting languages such as Java and Python Excellent problem-solving and analytical skills Curious and creative about data, and comfort with ambiguity Additional Information We offer competitive salaries, meals, snacks, etc.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education : Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************

+ Alameda, CA + Park Bridge + PB Nursing + Services As Needed / Per Diem - Day + $35.32 - $58.85 + Req #:39741-29251 + FTE:0.01 **SUMMARY** : The Minimum Data Set (MDS) Coordinator is responsible for the timely and accurate completion of the Federal and State assessment tool.Performs related duties as required. **DUTIES & ESSENTIAL JOB FUNCTIONS:** NOTE: The following are the duties performed by employees in this classification. However, employees may perform other related duties at an equivalent level. Not all duties listed are necessarily performed by each individual in the classification. 1. Physically assess each resident and interviews staff as necessary to ensure good standard of practice and as instructed in the Minimum Data Set User's Manual. Coordinates scheduling and notice of resident care planning conferences and ensures communication of outcomes/problems to the responsible staff or resident. Designs, promotes and organizes Resident education and counseling based on health needs. Ensure all MDS information and care delivered is as outlined in the care plan and supported by documentation. 2. Facilitates accurate determination of the Assessment Reference Date; Provides interdisciplinary schedule for all Minimum Data Set assessments and care plans as required by OBRA and PPS. 3. Assists Case Manager with the transfer of patients to other health care providers or to home. Transfer responsibilities include determining the appropriate level of care placement in collaboration with the physician, patient, and family, if appropriate; discussing available insurance benefits with the health care team following verification by the Business Office; obtaining required authorizations and ordering/or arranging for DME, SNF, and transportation; and referring personal payment issues to the Financial Analyst as soon as possible to minimize reimbursement. Obtains appropriate signatures as required. 4. Ensures that the Interdisciplinary team makes decisions for either completing or not completing additional MDS assessments based on clinical criteria as identified in the most recent version of the RAI User's Manual. 5. Assesses for significant changes using the 24 hour report, physician orders, and verbal reports to ensure that the Minimum Data Set and care plans are reflective of those changes. Communicate needed changes in PPS Timeliness and Assessment Reference Dates and deficiencies in completion of Minimum Data Set, RAPS, and care plans. 6. Corrects and ensures completion of the final Minimum Data Set and submits resident assessment data to the appropriate State and Federal government agencies. Ensures timely submission of the MDS's to the State with proper follow up on validation errors. Maintains validation records from the submission process in a systematic and orderly fashion. 7. Assigns, assists, and instructs all staff in the RAI Process, Case-Mix, PPS Medicare, Medicaid, and the clinical computer system in relation to these processes. 8. Responds to Resident and family concerns; ensures that each concern is documented and a resolution is initiated and presented weekly at Medicare or Utilization Review meetings. **MININUM QUALIFICATIONS** : Education: Graduate of accredited school of nursing. Minimum Experience: Minimum one year clinical experience in a hospital, long term care facility, or other healthcare related facility. Preferred Experience: Previous experience as an MDS Coordinator; including completing Minimum Data Set (MDS) and Care Plans and experience with PPS and OBRA assessments. Required Licenses/Certifications: Valid license to practice as a Registered Nurse in the State of California. Required Licenses/Certifications: Minimum Data Set (MDS) certification or to receive MDS certification within 6 month of job offer.Required Licenses/Certifications: BLS - Basic Life Support Certification 0- issued by AHA - American Heart Association. Alameda Health System is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, national origin, age, gender, sex, ancestry, citizenship status, mental or physical disability, genetic information, sexual orientation, veteran status, or military background.