Data analyst internship jobs in Salinas, CA

About Us Gala Circle is a service provider offering integrated cutting-edge technology solutions for North American enterprises. It focuses on helping enterprises achieve business growth, efficiency improvement, and innovation, covering multiple industries such as catering and retail. Its core services consist of four major segments: 1.Ecological Operation Integration: Including alliance ecosystem restructuring, and cost reduction through centralized procurement. 2.Marketing & Customer Operations: Providing omnichannel social marketing, private domain establishment, and membership system services. 3.Payment & Compliance: Launching comprehensive payment solutions tailored to the North American market (covering major payment methods), while ensuring transaction security, compliance, and tax support. 4.Customized Technology Development: Covering systems such as CRM/ERP/HRM, industry-specific platforms, and SaaS/API integration. Key Responsibilities: Hardware & Technical Support: Assist with the coordination and tracking of hardware shipments. Support installation processes to ensure smooth deployment. Provide basic software guidance and troubleshooting assistance to users. Operational & Community Engagement: Maintain organized documentation of operational procedures. Assist in fostering strong relationships with customers and stakeholders. Support internal teams in cross-departmental operational initiatives. Qualifications: Strong communication and organizational skills. Basic technical proficiency with the ability to troubleshoot minor issues. Ability to work collaboratively with multiple teams. Adaptability and a proactive approach in a dynamic work environment. Bilingual proficiency in Spanish is a plus. Additional Information: This is a paid internship opportunity,20hours/week. The role is based at 1580 Oakland Rd San Jose, CA 95131. Future visa sponsorship opportunities may be available for eligible candidates. Equal Opportunity Employer Statement: Gala Circle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, ethnicity, gender, age, disability, or any other legally protected status.

About the Role Savills is seeking a Research & Strategy Analyst to join its Life Sciences Practice Group. This hybrid role blends market research, strategic insight, and business development support to empower brokers, consultants, and clients with high-impact intelligence. The ideal candidate is analytically sharp, intellectually curious, and eager to contribute across both life sciences-specific initiatives and broader commercial real estate research functions. This is a unique opportunity to work at the nexus of science, data, and strategy in one of the industry's fastest-growing sectors. Key Responsibilities Research Operations & Market Data Management Maintain and update proprietary databases tracking inventory, leasing activity, sales comparables, ownership structures, development pipelines, and tenant movements in key markets. Contribute to the production of quarterly market statistics and collaborate with national and regional teams on sector-specific reports. Ensure accuracy and consistency of data across platforms to support client-ready deliverables and leadership decision-making. Client-Focused Research & Broker Support Respond to requests for market intelligence to support broker teams and strategic pursuits. Partner with brokers and across functions to develop data-driven materials for client meetings, pitch decks, and presentations. Leverage research outputs to support marketing campaigns, graphics, and thought leadership placement tailored to client needs. Build scalable templates and tools that enhance service delivery across geographies. Life Sciences Industry Intelligence Monitor companies in the biotech, medtech, and pharmaceutical sectors-from early-stage startups to public firms-tracking funding milestones, clinical pipelines, partnerships, and expansions. Identify real estate decision inflection points (e.g., IPOs, new clinical phases, M&A activity) and align those with broker outreach and opportunity pipelines. Maintain and regularly update a curated list of strategic targets to support CRM integration and proactive client engagement. Translate complex industry developments into relevant real estate implications for internal and external audiences. CRM Strategy, Pipeline Tracking & Business Enablement Leverage Savills Salesforce environment to track target companies, contacts, and opportunities aligned with life sciences growth triggers. Maintain detailed and dynamic CRM records to reflect company stage, activity history, strategic touchpoints, and geographic expansion status. Collaborate with brokers and marketing to execute targeted outreach campaigns based on funding events, clinical milestones, and relocation trends. Develop dashboards and reports that visualize pipeline health, deal progress, and prospect engagement across key geographies. Qualifications Bachelor's degree required; advanced degree (MBA, MS, PhD) or relevant certifications preferred. 2-6 years of experience in life sciences, research, management consulting, or corporate strategy. Deep familiarity with biotech, pharma, and/or medtech industries including R&D pipelines, funding dynamics, and commercialization paths. Exceptional analytical skills with the ability to distill complex data into strategic insights. Strong written and verbal communication skills; experience writing reports or market commentary is a plus. CRM platform experience (Salesforce) is preferred. Highly organized, detail-oriented, and motivated to work in a fast-paced, entrepreneurial environment. Why Join Savills Life Sciences? Savills is a global leader in real estate advisory, with a top-tier Life Sciences team that supports clients ranging from emerging startups to global pharmaceutical companies. Our platform empowers innovation-combining data, insight, and strategy to help clients make real estate decisions that accelerate science. As part of our team, you'll help shape how we track the future of life sciences and grow our presence in the most exciting markets in North America and beyond. Savills values a diverse work 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 identity or expression, sexual orientation, national origin, genetic information, disability, age, veteran status, or any other protected characteristic. Savills participates in the E-Verify program.

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. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. 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. 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 early. Responsibilities: * Understanding user & item interests using statistical methods. * Building user clustering and communities based on LLM labeling and understanding abilities. * Coverting communities discovery results into algorithm strategy suggestions.Minimum Qualifications * Good math/Data Science foundations on stats. * Coding skills in python and sqls. * Basic knowledge regarding clustering or community-discovering algorithm. * Large Language Model Application Experiences. Preferred Qualifications * Technical Skills: Familiarity with Excel, SQL, Python, or R, and foundational knowledge of data visualization tools like Tableau, Power BI, and Think-Cell. * Communication: Business-level English proficiency with strong verbal and written skills to effectively engage with stakeholders and present findings to non-technical audiences. * Problem-Solving & Teamwork: Strong problem-solving abilities, attention to detail, and the capability to collaborate effectively with cross-functional teams to implement solutions and drive results. * Being a loyal user of Douyin, Reds, Reddits, or Discord etc.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** You will collaborate across Customer Experience, Sales, Marketing, Operations, Engineering, and IT to build and operationalize advanced analytics, machine learning models, and intelligent automation solutions. In this highly technical role, you will help drive Cisco's transformation into a data-driven digital organization by developing scalable data products, predictive models, and automated insights pipelines. Digital Lifecycle Journey's (DLJ) digital expertise positions us at the forefront of addressing the evolving expectations of today's connected customers, partners, and Cisco sellers. By leveraging real-time connected data, machine learning, and advanced automation, our team enables personalized, proactive customer engagement across the entire lifecycle. DLJ is focused on delivering immersive digital experiences that increase recurring revenue, optimize cost, and improve sales effectiveness for Cisco and its partners. **Your Impact** You are a technically strong analyst/engineer with experience in AI/ML, data engineering fundamentals, and analytics. You combine a deep understanding of data modeling, statistical methods, and programming with the ability to translate insights into actionable business outcomes. You know how to build robust ETL pipelines, design features for machine learning models, and create intuitive, insight-driven dashboards. You thrive in fast-paced, collaborative environments where you work closely with data scientists, engineers, product teams, and business leaders.Identify, analyze, and interpret trends or patterns in sophisticated data sets using statistical technique and provide ongoing reports and dashboards. + Build, test, and deploy predictive models and machine learning pipelines to support customer lifecycle analytics and digital engagement at scale. + Transform complex, large-scale datasets through Python, SQL, and distributed computing tools to develop high-quality datasets and features for analytics and ML. + Develop automated dashboards, visualizations, and analytics apps using Power BI to deliver real-time insights to partners and leadership. + Identify, analyze, and interpret trends and patterns using advanced statistical, machine learning, and data-mining techniques; communicate insights with clarity. + Collaborate closely with business and engineering teams to translate persona-specific use cases into scalable solutions, consolidating requirements and delivering cross-functional data products. + Partner with data engineers and architects to design data pipelines, integrate new data sources, and validate data quality, completeness, and performance. + Implement and maintain data privacy, security, and governance processes within analytics and ML workflows. + Evaluate emerging tools, technologies, and methodologies in AI/ML and analytics; continuously improve our technical capabilities. **Minimum Qualifications** + Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College with 0 years of relevant experience) or currently enrolled in an undergraduate degree program. Relevant fields include: Business, Supply Chain, Communications, Mathematics, Finance, Industrial Engineering, Statistics, or a related program or other academic certification. + Proficient in Python and its data science libraries (pandas, NumPy, scikit-learn), as well as R, with strong skills in statistical analysis, machine learning fundamentals, and data visualization. + Skilled in SQL for data transformation, modeling, and large-scale querying, with technical knowledge of data models, database design, data mining, and segmentation techniques. + Experienced in building dashboards and analytics solutions in Power BI (or similar BI tools), transforming complex data into clear, actionable insights. + Hands-on experience with data manipulation and ETL tools, including SQL and big-data technologies like Hadoop, along with familiarity with reporting and statistical packages such as Excel, SPSS, SAS, and Business Objects. + Able to legally live and work in the country for which you are applying, without visa support or sponsorship. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

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

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

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

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! The Team Adobe Digital Insights (ADI) is the acknowledged leader in real time economic and digital experience insights. Our findings regularly appear in print and on television across publications as varied as Good Morning America, The New York Times, and CNBC. We work with hundreds of top companies, offering them unique insight into their customers and the state of their industry that they cannot get anywhere else! The Opportunity Join the Adobe Digital Insights (ADI) team as a Summer 2026 Intern! We transform Adobe's vast digital data into actionable insights that enhance the brand, inform business strategy, and strengthen customer relationships. You will play a key role in acquiring, processing, and producing insights from the Adobe Content Analytics product. The ideal candidate will have a strong background in analysis and a keen interest in data-driven storytelling. All Adobe interns in 2026 will be co-located hybrid-working between their assigned office and home. Interns will be based in the office where their manager and/or team are located to ensure strong collaboration and support. The frequency of in-office work will be determined by team priorities. What You'll Do * Acquire and process large-scale content engagement data to uncover patterns and trends. * Create a comprehensive understanding of Adobe Content Analytics content performance, customer engagement, and conversion measurement insights. * Build dashboards and reports that deliver meaningful insights to business collaborators. * Develop scripts and automation tools to streamline data extraction and transformation. * Contribute to the development of internal analytical tools that enhance team productivity and insight generation. What You Need to Succeed * Currently enrolled full time and pursuing a Master's in Statistics, Mathematics, or Engineering is desired; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * Solid understanding of SQL and R/Python * Understanding of statistical modeling/machine learning/ data mining concepts, and a track record solving problems with these methods. * Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc. * Ability to participate in a full-time internship between May-September 2026 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 $38.00 -- $51.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. 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 **************.

We are looking for a talented and independent Data Analyst to join the Credit Risk Strategy team. The analyst will be play a key horizontal role for the team by helping reshape data infrastructure and reporting dashboards to greatly optimize the work of the overall team. This position requires a person who has strong experience in SQL, data modeling, and visualization, with the ability to work independently to solve complex business challenges We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Minimum 4 years of experience in Data Analytics, Business Intelligence, or Analytics Engineering (Fintech preferred). Strong proficiency in SQL is required. Experience with dbt and creating structured data models (semantic layers) is highly desirable. Ability to clearly communicate complex results via Data Visualization (Tableau expertise preferred). Comfortable with ambiguity; able to steer analytics projects toward clear business goals without hand-holding.

FocusKPI is seeking a Data Analyst (SEO) to work with our client. Work Location: San Jose, CA; only candidates based in the Bay Area, CA will be considered; Hybrid (3-4 days onsite), Duration: 3 months with potential for extension depending on your performance Pay range: $40+/hour **No C2C or H1B transfer resumes are considered. Only candidates based in the Bay Area, CA will be considered** Responsibilities: Work closely with the SEO Analytics and Performance team Leverage new techniques to investigate our data and incorporate external information to boost our knowledge of this market Research and implement content recommendations for organic SEO success Track, report, and analyze website analytics Communicate complicated data findings clearly and concisely to our multi-disciplined teams Collaborate with stakeholders, including product, marketing, finance, etc. on initiatives that improve our company-level KPIs and match our business priorities, and provide valuable data to the overall strategy Provide analytics insights about customer behavior, web user behavior Ad-hoc analysis to address urgent high-impact analysis for business stakeholders Qualifications: Bachelor's degree, or foreign equivalent, in Computer Science, Data Analytics, Engineering, or a closely related field, and an MS degree is preferred 4+ years of industry experience with analytics experience to build data-driven products for solving business problems Proficient in SQL and/or other data query languages. Experience in handling large-scale data with efficiency Experience with Python is required Proven SEO experience as evidenced by results achieved in previous roles Experience with product analytics, Google Analytics Experience with A/B testing Experience with an e-commerce background is a huge plus Proficient in scripting languages such as Python and data visualization tools like Tableau Proficient in Microsoft Excel Proven strong analytical and problem-solving skills Experience with campaign analytics and promotions Experience with e-commerce web-based products and companies Excellent communication skills **No C2C or H1B transfer resumes are considered. Only candidates based in the Bay Area, CA will be considered**** Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out ***************** email domain. If you have received fraudulent emails now or in the past, please report it to **************************** . The ************************ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone **********************.

Job Description FocusKPI is seeking a Data Analyst (SEO) to work with our client. Work Location: San Jose, CA; only candidates based in the Bay Area, CA will be considered; Hybrid (3-4 days onsite), Duration: 3 months with potential for extension depending on your performance Pay range: $40+/hour **No C2C or H1B transfer resumes are considered. Only candidates based in the Bay Area, CA will be considered** Responsibilities: Work closely with the SEO Analytics and Performance team Leverage new techniques to investigate our data and incorporate external information to boost our knowledge of this market Research and implement content recommendations for organic SEO success Track, report, and analyze website analytics Communicate complicated data findings clearly and concisely to our multi-disciplined teams Collaborate with stakeholders, including product, marketing, finance, etc. on initiatives that improve our company-level KPIs and match our business priorities, and provide valuable data to the overall strategy Provide analytics insights about customer behavior, web user behavior Ad-hoc analysis to address urgent high-impact analysis for business stakeholders Qualifications: Bachelor's degree, or foreign equivalent, in Computer Science, Data Analytics, Engineering, or a closely related field, and an MS degree is preferred 4+ years of industry experience with analytics experience to build data-driven products for solving business problems Proficient in SQL and/or other data query languages. Experience in handling large-scale data with efficiency Experience with Python is required Proven SEO experience as evidenced by results achieved in previous roles Experience with product analytics, Google Analytics Experience with A/B testing Experience with an e-commerce background is a huge plus Proficient in scripting languages such as Python and data visualization tools like Tableau Proficient in Microsoft Excel Proven strong analytical and problem-solving skills Experience with campaign analytics and promotions Experience with e-commerce web-based products and companies Excellent communication skills **No C2C or H1B transfer resumes are considered. Only candidates based in the Bay Area, CA will be considered**** Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out ***************** email domain. If you have received fraudulent emails now or in the past, please report it to **************************** . The ************************ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone **********************. Powered by JazzHR 3CZz7agqor

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

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

Join Align's Finance Analytics team for a hands-on summer internship focused on data-driven decision-making and AI-powered solutions. You'll work on financial analysis, forecasting, and automation projects, leveraging tools like Power BI, Python, and Copilot AI to enhance planning and reporting Role Expectations Assist in data analysis, forecasting, and reporting for annual planning and monthly reviews. Build and optimize dashboards and predictive models to support business and growth tracking. Explore and implement AI-driven tools (e.g., Copilot, machine learning models) to improve financial workflows. Collaborate with Product, Marketing, and IT teams to integrate automation into planning processes. Document processes and provide recommendations for efficiency improvements. Support ad-hoc analysis and data visualization for leadership presentations. What We're Looking For Education: Pursuing a Bachelor's or Master's degree in Finance, Data Science, Business Analytics, or related field. Skills: Strong analytical and problem-solving abilities Proficiency in Excel, Power BI, and data visualization tools Basic knowledge of Python/R and SQL Technical: Familiarity with AI/ML concepts and interest in Copilot or similar AI assistants. Communication: Ability to present insights clearly and collaborate effectively. Teamwork: Comfortable working independently and in cross-functional teams. Complementary Skills Experience with Business & financial modeling and forecasting techniques. Exposure to cloud-based analytics platforms and automation tools. Strong attention to detail and ability to manage multiple priorities. ..

Governance and Experience team of e-commerce are responsible for ensuring the safety and trust-worth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok 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 beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if Fall Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23 Fall Start Dates: Monday, August 11 Monday, August 25 Monday, September 8 Monday, September 22 Applications will be reviewed on a rolling basis. We encourage you to apply early. 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. Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank. Responsibilities: * Develop scientific metrics to measure success of E-Commerce governance and experience team; * Develop the credit system for merchants and creators to incentivize good behavior; * Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design.Minimum Qualifications: * Currently pursuing a BS/MS degree in Computer Science, Statistics, Economy or other relevant majors with 2+ years of work experience. * Proficient in at least one software programming language, such as SQL/R/Python; * Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge. Preferred Qualifications: * Experiences in Hadoop/Spark/Storm and other computing platforms and tools. * Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.

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

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.

Role Summary Join Align's Finance Analytics team for a hands-on summer internship focused on data-driven decision-making and AI-powered solutions. You'll work on financial analysis, forecasting, and automation projects, leveraging tools like Power BI, Python, and Copilot AI to enhance planning and reporting Role Expectations * Assist in data analysis, forecasting, and reporting for annual planning and monthly reviews. * Build and optimize dashboards and predictive models to support business and growth tracking. * Explore and implement AI-driven tools (e.g., Copilot, machine learning models) to improve financial workflows. * Collaborate with Product, Marketing, and IT teams to integrate automation into planning processes. * Document processes and provide recommendations for efficiency improvements. * Support ad-hoc analysis and data visualization for leadership presentations. What We're Looking For * Education: Pursuing a Bachelor's or Master's degree in Finance, Data Science, Business Analytics, or related field. * Skills: * Strong analytical and problem-solving abilities * Proficiency in Excel, Power BI, and data visualization tools * Basic knowledge of Python/R and SQL * * Technical: Familiarity with AI/ML concepts and interest in Copilot or similar AI assistants. * Communication: Ability to present insights clearly and collaborate effectively. * Teamwork: Comfortable working independently and in cross-functional teams. Complementary Skills * Experience with Business & financial modeling and forecasting techniques. * Exposure to cloud-based analytics platforms and automation tools. * Strong attention to detail and ability to manage multiple priorities. .

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. We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. 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. This Internship Program runs for 12 weeks beginning in May/June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23 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). 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 early. 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 actional 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