Data analyst jobs in Salinas, CA

TITLE: Data Analyst ANTICIPATED DURATION: 6 months Responsibilities: Collaborate with internal teams and external partners to determine data requirements. Create templates for automated, seamless data collection into databases. Design and structure databases that capture all relevant information for reporting and analysis. Link internal and external data sources for meaningful insights. Create dashboards to highlight key metrics and overall business performance. Requirements: Prior experience designing data collection processes and structuring best practices. Strong analytical skillset; experience building recurring financial reports and visualizations. Required experience with Python, SQL, and Tableau. Understanding of consumer credit processes is a plus. Proven ability to influence and challenge outcomes to drive results. Excellent written and verbal communication skills. Big-picture thinker with curiosity and ownership of details. Strong collaborator with global business partners. The hourly pay rate range for this position is $65 to $75 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For immediate consideration, please forward your resume to **********************. If you require assistance or an accommodation in the application or employment process, please contact us at **********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Employment Type: Contract (W2 or C2C). Duration: 6-12 months. Possibility of renewal depending on personal performance and business needs. Rate: $50 - $65/hr W2. About Us Concord isn't your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data. We are purpose-built, merging the industry's top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience, and technical platform integration, automation & security engineering. About the Role We're seeking a Bio-specimen Process Analyst to support the implementation and optimization of a new Biospecimen Acquisition and Management tool within a global molecular diagnostics group. This role sits at the intersection of business analysis, process management, and stakeholder engagement, requiring a blend of strategic thinking and hands-on execution. The ideal candidate has a strong background in biotech, pharma, or diagnostics, and direct experience working inside laboratory environments. This individual will play a key role in defining, documenting, and refining processes, managing change initiatives, and ensuring seamless adoption across global teams. Key Responsibilities Partner with global stakeholders to analyze and document biospecimen acquisition and management processes. Lead requirements gathering and documentation for new workflows, system integrations, and process improvements. Collaborate with cross-functional teams to align business processes with system capabilities. Facilitate change management activities to support the adoption of new tools and ways of working. Work closely with senior leadership and technical teams to manage priorities, timelines, and communication across sites. Contribute to business architecture design, ensuring scalability and alignment with organizational objectives. Support training, documentation, and communication plans related to new processes and systems. Qualifications Bachelor's degree in Biotechnology, Chemistry, Biology, Engineering, or a related scientific discipline. 5+ years of experience in process analysis, business analysis, or project management within the pharma, biotech, or diagnostics industry. Proven experience working inside a laboratory environment, with an understanding of biospecimen handling or related lab workflows. Strong skills in process mapping, requirements documentation, and stakeholder management. Experience with change management and cross-functional collaboration in complex, global organizations. Excellent communication and facilitation skills. Able to work effectively with both technical and executive stakeholders. Familiarity with biospecimen acquisition, data management, or LIMS systems. Experience supporting global teams and multi-site initiatives. Exposure to molecular diagnostics or research and development processes. What We Offer (W2 Employment) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection.

Fast-growing AI healthcare startup is hiring a Founding Data Scientist. Seeking a true “player-coach”, offering the opportunity to shape the data science function from the ground up while remaining hands-on in analytics, modeling, and product collaboration. What You'll Do • Establish the data function: build systems, tools, best practices, and a long-term data strategy • Hands-on analytics and modeling: develop predictive and optimization models, perform ad hoc analyses, and prototype ML applications • Collaborate across teams: work closely with product, engineering, and clinical leaders to uncover trends, inform features, and drive measurable outcomes • Client-facing insights: analyze healthcare data, create dashboards, and translate findings into actionable recommendations • Leadership growth: act as a “player-coach,” mentoring future data hires as the team expands What We're Looking For • 8+ years in data science or advanced analytics • Advanced proficiency in Python and SQL • Experience with healthcare datasets (claims, EMR/EHR, • Strong statistical modeling and ML knowledge (scikit-learn, StatsModels, PyTorch) • Comfortable with ambiguity, able to own end-to-end data initiatives, and influence product/clinical decisions • Strong communication skills for cross-functional and external stakeholder engagement Tech Stack: Python, R, scikit-learn, StatsModels, PyTorch, SQL, healthcare claims + EMR/EHR data, ICD/CPT/HCPCS, BI tools

JOB Title : Data Scientist + ML Engineer (Gen AI) (NO C2C) Duration : 12 months contract with possible extension We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI)to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models - including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines. RESPONSIBILITIES: Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build work flows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing. Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement Partner cross-functionally with researchers, engineers, and data program managers to defi ne requirements and deliver high-impact ML solutions Build and enhance internal tools, libraries, and automation work flows to accelerate experimentation and iteration REQUIRED EXPERIENCE AND SKILLS: Bachelor's degree in Computer Science or related fi eld from an accredited U.S. institution 2+ years of experience in Machine Learning or Software Engineering Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs) Excellent analytical, problem-solving, and debugging skills Strong communication and documentation skills with the ability to explain complex concepts clearly Ability to work independently in a fast-paced, iterative development environment

Recruiting recent grads with work authorization - as OPT EAD, H1B , Green Card and US Citizens for Oracle Business Analyst jobs. We Sponsor H1B visas WalkWater Technologies Inc. is currently recruiting for full time positions. The positions available are Oracle ERP Business Analyst, Oracle ERP Financial Functional Analyst and Manufacturing (Supply Chain) Functional Analyst. The position is a full time role with WalkWater. The training will be here in San Jose CA. We are also are an eVerified company and will process your H1B visa and process your green card. The training is a hands-on immersive training which is conducted via zoom. We have theory for 1.5 hours and practical's for 1 hour, Monday through Friday. During the training you simulate a company and configure the application for that company. We also have evaluation tests after every 2 modules to gauge where each one stands and to help improve your learning curve. WalkWater is looking to build our strength in our Oracle Cloud Fusion ERP practice. We are looking to hire potential candidates who are willing to go through a 6-week bootcamp, where we train you on the application implementation methodology and on 6 key modules which are needed to get started with implementations. If you are looking to build your career in Cloud Technologies - Cloud ERP is a great choice. WalkWater would like to be your launching pad and we would help groom you to achieve your ultimate goals.

UAT Analyst III Duration: Contract Role: UAT/End to End Test Analyst Qualifications: 5 plus years of experience with software quality assurance testing with at least 3 years in mobile testing. 3 plus years of experience with designing test strategy and independently running test cycles on complex software projects. Experience working on End-to-End testing across multiple applications and developing test plan, test scripts, and coverage matrix for comprehensive testing of the systems under test. Experience with validation of native mobile applications or on-device communications/ messaging for large scale marketing efforts. Experience working on test automation for iOS applications using Python, Swift, or other related languages. Good experience with requirements analysis and advanced test design techniques for comprehensive test coverage. Good at communication, Results oriented, positive attitude and ability to work in fast-paced environment. Responsibilities: As a member of the UAT Team, you will be responsible to independently executing and tracking testing/validation efforts for mobile systems. Develop test strategy, test plan, test cases, and test scripts - providing a high level of test coverage across existing functionalities and new features. Perform testing of on-device experiences for users on a wide range of mobile applications. Write automated tests for target application on iOS platforms using Python and Swift. Work on multiple initiatives and prioritize feature and campaign testing along with documentation and on-time delivery of End to End testing. Provide the testing scope/overview documentation, test plan, test results, and associated tickets for resolution/prioritization. Timely communication of status and progress including Test Status reports, Test Metrics, Progress Reports, Coverage Reports, Defects Reports, and associated documentation. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ***************** At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65 - $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

About the Role: In this role you will be a part of the Inventory Management team that brings the financial strategy of our product vision to life by managing the largest financial asset of the company: our product itself. In your role, you will drive the success of one or more product categories by creating a financial roadmap and marrying it to brand strategy and customer needs. You are passionate about using your qualitative and quantitative skillset in a fashion retail environment and find joy and creativity in forecasting and financial planning. You are curious, innovative, and focused on executing an amazing customer experience while delivering/exceeding financial targets. Strong analytical and storytelling skills will serve you well, and a collaborative mindset is a must. What You'll Do: Analyze historical data and current trends to identify risks and opportunities by division and department Collaborate with Merchandising to develop and communicate a comprehensive strategy that aligns future financial and product opportunities by division and department Create preseason sales, gross margin and inventory plans by division and department that support product strategies Reconcile top down to bottom up division/department plans Recap and analyze actual sales results to plan, and forecast in season sales and inventories on a weekly / monthly / quarterly basis Collaborate with peers to ensure consistency of information, share best practices and develop systems knowledge Develop and maintain effective working relationships with members of cross functional team (Merchandising, Visual, Production, Distribution, Planning and Company Planning) Who You Are: Must love Excel, have strong technical skills, and be systems savvy Believe in the Power of Team; builds constructive and effective relationships with a broad and diverse group of business partners Possess strong business acumen and strategic agility, able to handle many projects simultaneously while effectively prioritizing workload Demonstrate strong listening, written and oral communication skills, able to present ideas and directions that rally others to action Benefits at Old Navy: Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. One of the most competitive Paid Time Off plans in the industry.* Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.* Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* Employee stock purchase plan.* Medical, dental, vision and life insurance.* See more of the benefits we offer. *For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $67,900 - $86,600 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

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

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

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 **************.

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.

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

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 125,000 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: *******************************************

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.

**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 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 IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Epic is the leading digital reading platform for kids in the U.S., providing engaging and high-quality reading experiences for children around the world. As a User Growth Business Analyst Intern, you'll join the global growth team to support the planning, tracking, and analysis of Epic's user growth strategies in the U.S. market. You'll work across projects such as performance marketing, SEO, educator community growth, and influencer marketing-providing data insights that inform key business decisions. Key Responsibilities 1. Data Analysis & Reporting Support collection, cleaning, and visualization of user growth data (registrations, subscriptions, ROI, retention, funnel performance, etc.). Help maintain growth dashboards and generate weekly/monthly insights reports. 2. Market & Growth Research Monitor U.S. EdTech competitors and analyze their growth strategies. Study growth models (Growth Flywheel, AARRR, LTV modeling, etc.) to support Epic's growth planning. 3. Project Support & Cross-Team Collaboration Assist with user growth initiatives including ad testing, SEO content deployment, A/B testing, and conversion rate optimization. Collaborate with product, marketing, design, and tech teams to ensure smooth implementation of growth strategies. 4. Insights & Reporting Translate data into actionable insights and strategic recommendations. Support preparation of weekly reports, monthly summaries, and executive presentations. Requirements Bachelor's degree or above (in progress). Majors in Economics, Statistics, Marketing, or Business Analytics preferred. Strong analytical and data interpretation skills; proficient in Excel/Google Sheets; SQL or Python experience is a plus. Familiar with key growth metrics (CAC, ROI, LTV, Retention, ARPU, etc.). Good English communication skills; comfortable working in a bilingual environment. Self-motivated, detail-oriented, and passionate about education and children's content. Minimum 3 days per week for at least 3 months. What You'll Gain Real-world experience collaborating with global cross-functional teams. Hands-on participation in U.S. market growth projects (ads, SEO, educators, influencers, etc.). 1:1 mentorship from experienced growth and analytics leads. Priority consideration for a full-time Growth Analyst / Marketing Analyst role upon outstanding performance. Internship Pay : $20 per hour

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.