Data science internship jobs in Redlands, CA

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Rev up your career as a Material Master Data Quality Analyst at Monster Energy, where you'll ensure our data roars with integrity, accuracy, and consistency! Dive into the action by identifying, analyzing, and crushing data quality issues, all while developing rock-solid controls. You'll collaborate with cross-functional teams to keep our data standards high and mighty. Your mission? To ensure our product components and processes are fueled by reliable data, driving effective decision-making across the Monster universe. Get ready to unleash your analytical prowess with the unstoppable energy of Monster! The impact you'll make: Perform data profiling and cleansing activities to identify and document data quality issues. Develop metrics and key project indicators (KPIs) to measure the accuracy, completeness, and consistency of material master data; Work with subject matter experts (SMEs) to identify root causes of data inconsistencies. Analyze data quality issues to determine their origins and potential impacts; Create detailed reports outlining findings, recommendations, and implemented solutions. Collaborate with data stewards and other stakeholders to address the root causes and implement corrective actions. Define and implement data quality rules, validation procedures, and quality checks tailored to material master data. Develop profiling reports and ensure adherence to data governance policies, regulatory requirements, and organizational workflows; Maintain comprehensive documentation of data quality rules and processes. Regularly monitor data quality metrics and dashboards to assess data health and identify areas for improvement; Conduct regular audits to ensure material master data meets organizational standards. Work closely with decision-makers to convey the impact of data quality issues and present actionable solutions; Partner with data stewards, SMEs, and other organizational members to resolve data quality problems effectively. Provide training and educational resources to stakeholders to promote data literacy and governance. Collaborate with data analysts, engineers, and architects to ensure that data quality is a key consideration throughout the data lifecycle; Participate in Agile or similar project management workflows to enhance data systems and ensure compliance with data quality standards. Who you are: Prefer a Bachelor's Degree in the field of -- Data Management, Data Analysis, Data Science or related field of study Additional Experience Desired: Between 3-5 years of experience in data analysis, data management or data science Additional Experience Desired: Minimum 1 year of experience in data analysis, data profiling, root cause analysis, and data quality improvement Computer Skills Desired: Microsoft Office, SAP or other database systems, Power BI, SQL, Python Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: N/A Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

Reports To: Director of Operations / COO Employment Type: Full-Time Compensation: $60,000 - $250,000 (Potential Earnings) About the Role We are seeking a highly motivated and entrepreneurial Data Analyst to join our growing team. This individual will play a key role in collecting, analyzing, and interpreting data to help drive smarter decisions and improve business performance. The ideal candidate is a self-starter with strong analytical skills, proficiency in SQL, and the ability to turn complex data into clear insights and actionable recommendations. This role does require relocation to Southern California. We are only hosting in-person interviews in Newport Beach, CA for this position. No virtual interviews. If you are unable to attend an in-person interview you will not be considered for the position. Key Responsibilities Data Analysis & Reporting Develop, maintain, and optimize SQL queries, reports, and dashboards. Gather and interpret data from multiple systems to support operational and strategic initiatives. Identify trends, variances, and performance drivers across key business metrics. Automate recurring reports and streamline data workflows for greater efficiency. Business Insights & Decision Support Partner with leadership and cross-functional teams to deliver meaningful insights that inform business strategy. Support budgeting, forecasting, and performance monitoring through data-driven analysis. Translate complex data findings into actionable recommendations for process or financial improvement. Process & Systems Improvement Help refine data collection methods and ensure accuracy across internal systems. Recommend and implement improvements to reporting processes and business tools. Collaborate with technical and operational teams to enhance data accessibility and usability. Entrepreneurial Impact Take initiative to identify opportunities for improvement and innovation. Approach problem-solving with creativity and ownership. Contribute to building a data-informed culture through curiosity, collaboration, and forward thinking. Qualifications Education: Bachelor's degree in Business, Data Analytics, Finance, Economics, or related field. Technical Skills: Proficiency in SQL (writing and optimizing queries, joins, and stored procedures). Advanced Excel skills; experience with data visualization tools (Power BI, Tableau, Looker, etc.). Solid understanding of data management and general business metrics. Soft Skills: Entrepreneurial mindset - proactive, resourceful, and eager to take ownership. Strong analytical and critical-thinking abilities. Excellent communication and presentation skills. Detail-oriented and able to manage multiple priorities. Preferred Experience building automated reporting solutions or analytical dashboards. Exposure to ETL processes, workflow automation, or scripting languages (Python, R, etc.). Compensation & Benefits Competitive salary commensurate with experience Performance-based bonus opportunities Health, dental, and vision coverage Opportunities for professional growth and advancement

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $135,000 - $199,000 CAN annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. • Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) • Collabera listed in GS 100 - recognized for excellence and maturity • Collabera named among the Top 500 Diversity Owned Businesses • Collabera listed in GS 100 & ranked among top 10 service providers • Collabera was ranked: • 32 in the Top 100 Large Businesses in the U.S • 18 in Top 500 Diversity Owned Businesses in the U.S • 3 in the Top 100 Diversity Owned Businesses in New Jersey • 3 in the Top 100 Privately-held Businesses in New Jersey • 66th on FinTech 100 • 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Responsible for data analysis related to AMO post-market product complaints and reporting on trends to ensure compliance to all applicable Corporate and Divisional policies and procedures. Demonstrates thorough understanding of Good Manufacturing Practices (GMPs), FDA Code of Federal Regulations (CFRs) and ISO13485. Actively participates in departmental process improvements and effectively communicates knowledge to contribute to overall success of AMO. Core Job Responsibilities: Responsible for compliance with applicable Corporate and Divisional Policies and procedures. Provide Quality Assurance leadership with product quality data and complaint trending to drive product improvements and Corrective and Preventive Actions. Prepare or assist department leadership with monthly trending reports, annual post-market surveillance reports and other monthly and quarterly reports. Participate in various process improvement projects. Responsibilities include developing and reporting on relevant complaint handling system metrics. Works autonomously to identify areas for inquiry. Recognizes that failure to achieve results or erroneous decisions or recommendations may result in significant non-compliance issues. Analyze and report on complaint process metrics. The position is accountable for: - timely and accurate product complaint data analysis and reporting. - developing new and improving existing data analysis tools while maintaining compliance to all regulations. Qualifications Minimum Education, Experience and Training Required: Bachelor's degree in a sciences or engineering discipline or similar field or an equivalent combination of education plus work experience. 1+ years of experience in data analysis, preferably in a regulated medical products manufacturer - Knowledge of and experience using SQL to construct queries - Knowledge of and experience using MS Excel to analyze data - Good verbal and written communication skills - Ability to work well in a team environment. Additional Information All your information will be kept confidential according to EEO guidelines.

Data Analyst (B2B Sales) TP-Link is currently seeking a Data Analyst for our Irvine, CA. location. This position is an onsite role. Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. What we're looking for: As a B2B Sales Support Assistant at TP-Link, you will assist the B2B sales team with maintaining a proprietary database in order to support the sales processes. You will be responsible for providing information internally through reporting and daily support. Possibilities are open to support internal team's important decisions through feedback provided, overall vision and daily reporting/analysis. What your future looks like * Support the whole team by fulfilling the process and generate reports. Ability to optimize the process and provide basic analysis on reports(a plus) * Involved in team daily details including inventory reports, price and special price, sales reports, marketing funds reports etc. * Communicate and coordinate with other team on internal process such as systems, reports, inventory. * Great platform to learn about the industry and sales strategy with the world leading networking vendor. * New SKU Setup. Manage and update price list for distribution. * Track and report monthly/quarterly Spiff. * Provide support in other areas in order to support the company's success.

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day. Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California. Status Exempt General Summary The Data Scientist Manager will play an important role in managing and executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and are excited to fill this position with an individual that can derive business improvements and insight from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business. Essential Duties and Responsibilities 1st Priority - 30% Managing Data Science, Data Engineering, and Big Data Platform * Managing small project teams to develop, execute and complete assignments. * Advising 4 direct reports (Data Scientists and Data Engineer) on projects as needed and help resolve issues with project or task completion. Support direct reports' project progress with "client" leadership, by suggesting how to resolve or escalating any issues. Support direct reports with questions related to data analysis. * Organizing team roles and evaluating employee performance. * Improve Big Data Analysis department processes and systems. Documenting operational tasks and reporting to upper-level management. * Develops growth opportunities for direct reports. * Performing employee reviews and assessments and meeting regularly with direct reports. 2nd Priority - 20% Data Wrangling and Analysis * Assess the accuracy of new data sources. * Understand the relationship between the data and the business process. * Preprocess structured and unstructured data. * Analyze large amounts of data to discover trends and patterns. * Build prediction and classification models. * Coordinate with different functional teams for feature engineering 3rd Priority - 20% Assess, Visualize and Improve Analysis * Test and continuously improve the accuracy of statistical and machine learning models. * Present information using Python and/or dashboards. * Simplify and explain complex stats in an intuitive manner. * Continuously monitor and validate production analysis results. 4th Priority - 20% Deploy Analysis Results * Collaborate with IT Team to deploy analysis results. * Build REST APIs for data and analysis result consumption. * Assist the IT system developers to deploy analysis as a service. 5th Priority - 10% Clear Documentation, VCS, and Reproducible Analysis * Use git within Gitlab. * Create conda, venv, etc to isolate project dependencies and requirements. * Track model performance and hyperparameter configurations with mlflow * Track data versioning with dvc Qualifications/Education Education: * Bachelor's degree or equivalent experience in related field of technology required. * Certification(s) in data analysis field is highly desirable. Job Requirement Overall Related Experience: * Experience querying databases and using statistical computer languages (SQL, Python) * Experience with Dask; dask-ml and dask.DataFrames * Experience using statistics, machine learning and deep learning algorithms * Experience visualizing data using visualization tools (Power BI, MicroStrategy, Tableau etc.) Directly Related Experience: * 5+ years of data analysis or related technical experience required * Experience data analysis and engineering projects as a project manager * Prior people management experience preferred * Experience using Hadoop echo system (Hadoop, Hive, Impala and Spark etc.) Specialized Skills and Knowledge Required * Data analysis, engineering, IT project management * Experience using statistical computer languages (Python, SQL etc.) to handle data * Knowledge of a variety of machine learning techniques including deep learning for computer vision and graph neural networks * Knowledge of advanced statistical techniques * Knowledge and experience with NLP (natural language processing) * Social network analysis * Coding knowledge and experience with several languages: Python, SQL, Docker, Javascript/Typescript * Understanding big data analysis techniques: Map/Reduce, Hadoop echo system, Spark etc. * Strong problem-solving skills based on data analysis * Excellent written and verbal communication skills for coordinating across teams. * Leadership skillset Competencies * Care for People * Chase Excellence Every Day * Dare to Push Boundaries * Empower People to Act * Move Further Together Pay Range $105,533 - $146,709 Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc. Equal Employment Opportunities KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment. Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Job Description Data Analysts collect data, income and expenses, are able to gathers, cleans, and studies data sets to help solve problems. ... A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem work encompasses several duties and responsibilities, including Work with executives and other business leaders to identify opportunities for improvement Create reports for internal teams and/or external clients Collaborate with team members to collect and analyze data Use graphs, infographics and other methods to visualize data Establish KPIs to measure the effectiveness of business decisions Structure large data sets to find usable information Work with a team of analysts and other associates to process information Create presentations and reports based on recommendations and findings english and spanish speaking sales experience could help Essentially, the 3 important qualities of customer service center around three: professionalism, patience, and a “people-first” attitude. Although customer service varies from customer to customer Powered by JazzHR m6UIBenC7v

Do Epic Science TAE is the world's first private fusion energy company, founded in 1998 to commercialize the cleanest, safest, most affordable, and sustainable form of carbon-free power. We are applying science and engineering to design transformational technologies. Whether it's harnessing fusion through the science of stars, making exponential leaps in power efficiency, or innovating medical care with a novel cancer treatment: We're turning the promise of science into reality. We're looking for candidates who are passionate about realizing our mission: A future where all people have affordable access to reliable, abundant, and environmentally friendly fusion-generated electricity. About The Role We are seeking skilled data scientists to join our Data Science team at TAE Technologies. The experimental groups generate large and complex data sets, and only through advanced post-processing and modeling can these data reveal the secrets to the behavior of magnetically confined fusion plasma. By leveraging these insights, we aim to tackle the challenges of fusion energy development and deepen our understanding of plasma behavior. About You Pipeline Development and Maintenance: Help plan, develop, deploy, and maintain the entire Data Science pipeline at TAE, from data acquisition and storage to processing, visualization, and deployment. Data Processing and Knowledge Distillation: Collaborate with scientific staff and domain experts to iterate on prototype algorithms, converting them into robust scientific data processing routines. Software Product Life Cycle Management: Be responsible for all stages of the software product life cycle, including planning, analysis, coding, debugging, testing, deployment, and maintenance. Experimental Operations Support: Serve as a vital part of daily experimental operations by real-time monitoring and processing of data, ensuring experiments proceed smoothly, producing high-quality results. Task Management and Collaboration: Effectively manage multiple tasks independently and in a collaborative environment, ensuring timely and successful completion. Required Skills PhD in physics or related field 3+ years developing in python Experience using common python data analysis and visualization packages such as NumPy, SciPy, Pandas, and Matplotlib Able to work in a diverse R&D environment and communicate effectively and professionally with co-workers at all levels Passion for data integrity as this is central to what we do as a team Like to have: Ph.D. in plasma physics Familiarity with one or more Machine Learning libraries like Scikit-Learn, TensorFlow, and/or Keras Exposure to applying Bayesian statistical inference tools to experimental data Familiarity and comfort using the command line Education Ph.D. in Physics or related field At TAE Technologies, we consider a wide range of factors when making compensation decisions including but not limited to skill sets; experience and job-related knowledge, training; licenses and certifications, and other business and organizational needs. The total compensation package for this position may also include other elements depending on the position offered (non-Sr., Sr., Lead or Manager). The compensation range for these roles are $130,000 - $150,000 About US Imagination, skill, and will We are a diverse team of over 500 engineers, scientists, professionals, Maxwell Prize winners, and big thinkers from more than 40 countries with a track record of delivering on the innovative ways science can lead humanity into a brighter era. We are not afraid to envision a future where fusion and science can transform our world. What you'll get with us * Generous benefits such as Medical, Dental, Vision, 401 (K) with company match, paid vacation + sick time, companywide December holiday, wellness program, parental leave * Payment rewards: For referring talent, novel research, and patents * A collaborative environment: An organization where talents and interests can plug in to different groups throughout the organization Potential for equity participation * HQ in Southern California * Employee events on and off-site * A commitment to upholding and growing an inclusive organization Learn more tae.com Our podcast Good Clean Energy Instagram LinkedIn TAE Technologies is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We ensure all individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us ****************** to request accommodations or request more information. Note to Agencies: TAE prefers to hire directly and maintains an existing preferred supplier list. We do not accept speculative CVs or referrals from agencies. If speculative CVs are sent, no fee will be applicable.

Job Description Data Analyst Engineer I - Onsite Role in Norco, CA The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting, and collaboration platforms. This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint to deliver actionable insights, automate reporting processes, and streamline workflows across teams. The ideal candidate will be a self-motivated individual with strong analytical skills, capable of transforming raw data into clear, value-added reports that improve decision-making and operational effectiveness. This position requires the ability to work in a fast-paced environment and proactively solve problems while supporting mission-critical Navy requirements. As with any position, additional expectations exist. Some of these include, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), staying focused on the assigned tasks, and completing other tasks as assigned Responsibilities: Develop, design, and maintain interactive dashboards and reports in Power BI, Tableau, and Splunk to support leadership decision-making Build and manage SharePoint sites to enhance collaboration, document sharing, and workflow efficiency Perform advanced data analysis, including cleaning, structuring, and interpreting large datasets to identify trends and provide actionable recommendations Automate recurring reporting processes and data pipelines to improve accuracy and reduce manual effort Collaborate with stakeholders to understand requirements and deliver tailored data-driven solutions Integrate data from multiple sources, ensuring consistency, accuracy, and security in reports and dashboards Provide ongoing monitoring, troubleshooting, and improvement of existing dashboards and platforms Recommend and implement workflow improvements, applying independent judgment to enhance performance and system stability Document reporting logic, processes, and system configurations for transparency and repeatability Support Navy compliance and security requirements when handling and presenting sensitive data Basic Qualifications: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related field 0-2 years of experience in data analytics, business intelligence, or a related technical role Proficiency with Power BI, Tableau, Splunk, and SharePoint Strong SQL and database query skills, with the ability to handle large datasets Demonstrated ability to automate data workflows and reporting pipelines Excellent problem-solving skills with strong attention to detail Effective written and verbal communication skills for both technical and non-technical audiences Must be a U.S Citizen Must be able to obtain and maintain Secret level clearance If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Preferred Qualifications: Master's degree in Data Analytics, Information Systems, or related technical discipline 2-4 years of professional experience in data analytics, preferably within defense or government environments Familiarity with Navy systems, compliance standards, and data security practices Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation Prior experience in workflow analysis and systems improvement to enhance stability and performance Active DoD Secret clearance Company Summary: Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We're excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and all candidates must be actively enrolled students during the program. Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! To learn more about internship program visit: ************************************** Responsibilities Project Scope: * Automate Quality Metrics: Design and implement processes to extract, transform, and load (ETL) source data into usable formats, reducing manual reporting effort. * Develop Interactive Dashboards: Build a Power BI dashboard that provides real-time visibility into quality performance and supports business decision-making. * Create AI-Based Tools: Develop an AI-driven interface to assess risks and predict potential quality failures, leveraging machine learning concepts. * Collaborate Across Teams: Work closely with IT to secure data access and integrate enterprise systems, ensuring compliance with security and governance standards. * Deliver Business Impact: Provide solutions that improve operational efficiency, enhance data accuracy, and support continuous improvement initiatives. What you'll gain: This internship offers a unique opportunity for the student to apply classroom knowledge to real-world challenges in data analytics, automation, and AI. The intern will gain hands-on experience working with enterprise systems and MS365 tools to automate quality metrics, develop interactive dashboards in Power BI, and build AI-driven solutions for risk assessment and predictive quality analysis. They will collaborate with IT and business teams, gaining exposure to cross-functional processes and decision-making. This experience provides practical skills in high-demand areas, portfolio-worthy deliverables, and valuable networking opportunities-preparing the student for a successful career in data science, analytics, or technology-driven business roles. The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements. Qualifications * Data Science / Data Analytics: For expertise in data transformation, visualization, and predictive modeling. * Computer Science: For strong programming skills and familiarity with automation and AI/ML concepts. * Additional Preferred Skills & Tools: * Proficiency in Power BI, Excel, and MS365 tools. * Familiarity with ETL processes and data transformation. * Basic understanding of AI/ML techniques for predictive analytics. * Strong communication and collaboration skills for working with IT and business teams. * Must be able to commute and work on-site 5 days a week. * Must be currently enrolled as a fulltime student at an accredited four-year college or university * Experience with MS Project, Excel and PowerPoint. * Ability to decipher technical documents with experience reading engineering drawings. Excellent communication skills both written and spoken. Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time. Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation #LI-VK1 REQ-153358

**Revelyst** , is a collective of makers who design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue innovation and redefine what is humanly possible in the outdoors. The **Distribution Logistics Data Analyst** plays a critical role in shaping business strategy by leveraging data to uncover trends, identify inefficiencies, and highlight opportunities for improvement across our global distribution network. This position offers the opportunity to drive impactful change through data-driven insights that enhance operational performance and support strategic decision-making. This position report to the **Sr. Director, Global Logistics Transformation** and is based **onsite** in one of our platform locations (Irvine, CA - Logan, UT - Rantoul, IL). As the **Distribution Logistics Data Analyst** , you will have an opportunity to: + Analyze large datasets to identify trends, patterns, and inefficiencies in distribution operations + Development and maintain dashboards and reports to track KPIs critical to analysis of business performance + Conduct root cause analysis to support continuous improvement initiatives. + Collaborate with logistics teams, warehouse managers, 3PL partners, and supply chain planners to improve distribution strategies. + Forecast demand and inventory levels to ensure product availability and minimize excess stock. + Use scenario modeling and predictive analytics to support strategic planning. + Recommend and implement process enhancements to improve efficiency and reduce costs. + Monitor the effectiveness of implemented strategies and adjust based on performance data. + Present findings and actionable insights to both technical and non-technical stakeholders. + Support cross-functional teams with data-driven recommendations. **You have:** + Bachelor's degree in Supply Chain Management, Logistics, Data Science, Business Analytics, or a related field. + 2-5 years of experience in logistics, distribution, or supply chain analytics. + Strong analytical and problem-solving skills. + Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or Python. + Excellent communication and presentation skills. + Detail-oriented with strong organizational abilities. **You might have:** + Experience with WMS, TMS, or ERP systems. \#LI-LA1 **Pay Range:** Annual Salary: $55,000.00 - $78,000.00 The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer. We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission! Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory. Equal Opportunity Employer Minorities/Females/Protected Veteran/Disabled **Revelyst is a collective of makers that design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue new innovations that redefine what is humanly possible in the outdoors. Portfolio brands include Foresight Sports, Bushnell Golf, Fox, Bell, Giro, CamelBak, Bushnell, Simms Fishing and more.** Revelyst is an equal opportunity employer. All applicants are considered for employment without regard race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status, and any other characteristics protected by law. The EEO Law poster is available here: **************************************************************** If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ******************** . Please note that this email address is for accommodation purposes only. Revelyst will not respond to inquiries for other purposes.

We are seeking a reliable and detail-oriented Data Coordinator to support operational data collection and camera system monitoring across our Tustin and Corona office locations. This 3-month contract role plays a key part in maintaining accurate driver identification records, coordinating system issues with internal stakeholders, and providing general administrative support. The ideal candidate brings strong communication skills, solid office experience, and the ability to manage routine processes with precision.

Role reports within the plant attached warehouse organization supporting administrative work required to maintain accuracy and reconciliation of inventory records in multiple systems (SAP, WMS, 3PL records). This role's scope is temporary while location transitions to the new SAP platform. Scope includes production receipt, plant attached warehouse and transfers to/from local 3PL campuses. Key Accountabilities: Daily reconciliation of intercompany inventory transfers. Daily reconciliation of inventory quantity and quality status at a batch level between internal WMS, 3PL WMS, and SAP. Dual entry into SAP of internal inventory movements done in local WMS. Support research into cycle count variances or overage and shortage claims. Professional Experience / Education: 2-5 years of inventory management experience Prior experience managing inventory in SAP and/or warehouse management applications Personal Attributes Needed: Strong analytical skills managing data in multiple applications Ability to stay focused and deliver while under pressure Successful problem solving and logical thinking skills Able to build strong relationships with peers and external suppliers Strong organizational skills Cross Recruiting Inc is an EEO Employer - M/F/Disability/Protected Veteran Status View all jobs at this company

Summer 2026 Data Analyst Intern Irvine, CA CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. The Analytics team is responsible for the development of CoStar's customer-facing Real Estate Analytics products. We think big, creating innovative data-intensive applications that take the vast amount of data collected by our CoStar Research teams to create a fast, reliable and intuitive analytics platform for our customers. We are a collaborative product development team, and we are growing rapidly to help invent the future of Real Estate Analytics. Skills & Qualifications * Enrolled in a Bachelor's degree program from an accredited, not-for-profit, in-person institution in STEM, or comparable major graduating between December 2026 through June 2028 * Minimum 3.0 cumulative GPA * Strategic thinker and problem solver with a proven ability to prioritize, negotiate, and execute to accomplish amazing things * Basic SQL database knowledge * Basic Databricks knowledge * Basic Business Intelligence tool set experience, Power BI, Tableau, Reporting Services or similar * Knowledge of Python and familiarity with ML algorithms. * Strong analytical and problem-solving abilities * Commercial Real Estate knowledge a plus About the Role The mission of the Data Analyst Intern, in partnership with the Product Team, is to successfully build analytic information tools, reports, and applications for the Commercial Real Estate (CRE) market. We are searching for a Data Analyst Intern who can gather important company data and compile it into specifications that our teams can use to build world-class Analytic products. Should have the ability to work on multiple projects simultaneously and translate business data into digestible information that will be consumed by various development teams. Candidates should be able to analyze and solve issues that arise from internal users regarding all aspects of CoStar Analytics. Responsibilities include: * Understanding the CoStar business, the goals of our products, and collaborating with the Product team in the creation of those products * Assist writing acceptance criteria for user stories that contain key information for the development team to do their work * Maintain direct channels of communication with the product team * Responding to analytic specific issues that are raised by internal * Identifying and document business trends utilizing real data that will support new features and applications * Documenting user requirements and business rules to be used in application development * Hands on work in SQL as well as BI toolsets on a regular basis. What's in it for you: Joining CoStar Group means becoming part of a culture of collaboration and innovation that attracts top talent across diverse fields. Be part of a team of professionals dedicated to learning, growth, and success in a rewarding environment. We encourage all qualified candidates eligible to work full-time in the United States to apply. Please note that CoStar does not provide visa sponsorship for this position. CoStar Group accepts job applications from candidates in the United States solely through the following channels: * The CoStar Group website. * Email correspondence using only the CoStar domain of "@costar.com". * Screening and interaction via telephone, Microsoft Teams, or Zoom platforms. Please be cautious: * CoStar does not use Wire, Google Hangouts, or any other platform for recruitment-related activities. * Disregard any solicitation or request for information regarding job applications with CoStar via any means other than those listed above. * CoStar will never ask candidates to make any personal financial investment related to employment with the company. * CoStar Group is an Equal Employment Opportunity Employer, maintaining a drug-free workplace and conducting pre-employment substance abuse testing. This position offers an hourly wage of $28.00 per hour. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Details: We are seeking a reliable and detail-oriented Data Coordinator to support operational data collection and camera system monitoring across our Tustin and Corona office locations. This 3-month contract role plays a key part in maintaining accurate driver identification records, coordinating system issues with internal stakeholders, and providing general administrative support. The ideal candidate brings strong communication skills, solid office experience, and the ability to manage routine processes with precision. Details: Key Responsibilities Monitor internal camera systems to support driver identification and verification processes Perform accurate data entry and documentation of driver-related information and activity Coordinate with hiring managers and operations teams regarding camera outages, access issues, and system updates Track, organize, and validate data for internal reporting and compliance needs Provide general office and administrative support as needed Assist with basic analytical tasks related to data collection and quality review Communicate clearly with cross-functional teams to ensure issues are documented and resolved promptly Qualifications Prior office or administrative experience, including data entry or clerical support preferred Strong written and verbal communication skills High attention to detail and ability to manage routine tasks accurately Comfortable working with computer systems, tracking tools, and basic reporting platforms Ability to coordinate effectively with multiple stakeholders Reliable, punctual, and adaptable to working across two office locations Pay: $18-$21/hr

Location: On-site preferred (near Ontario, CA) Duration: 3-6 months (flexible, minimum 20 hours/week) Compensation: $18/hour Eligibility: Junior/Senior undergraduate or graduate student in business analytics, statistics, economics, or related fields Key Responsibilities: Analyze sales, advertising (Amazon DSP/Sponsored Ads), and shipping/returns data Identify performance trends, channel insights, and margin opportunities Prepare dashboards and reports for decision-making Collaborate with cross-functional teams to turn insights into business actions Support pricing, inventory, and logistics optimizations What You'll Gain: Mentorship in applied analytics, operations, and e-commerce Real-world exposure to Amazon, Wayfair, Walmart, and DTC analytics environments Opportunity to propose and test your own hypotheses with measurable business impact 🎁 Additional Perks & Benefits Flexible schedule to accommodate classes and exams Opportunities to attend industry expos or customer site visits Letter of recommendation upon completion Mentorship from experienced professionals in marketing, e-commerce, and analytics For outstanding interns: priority consideration for full-time role H-1B sponsorship available 📝 Application Process Please submit: Resume Short paragraph on why you're interested Optional: Portfolio, past project, or campaign report (for marketing positions)

Location: On-site preferred (near Ontario, CA) Duration: 3-6 months (flexible, minimum 20 hours/week) Compensation: $18/hour Eligibility: Junior/Senior undergraduate or graduate student in business analytics, statistics, economics, or related fields Key Responsibilities: Analyze sales, advertising (Amazon DSP/Sponsored Ads), and shipping/returns data Identify performance trends, channel insights, and margin opportunities Prepare dashboards and reports for decision-making Collaborate with cross-functional teams to turn insights into business actions Support pricing, inventory, and logistics optimizations What You'll Gain: Mentorship in applied analytics, operations, and e-commerce Real-world exposure to Amazon, Wayfair, Walmart, and DTC analytics environments Opportunity to propose and test your own hypotheses with measurable business impact 🎁 Additional Perks & Benefits Flexible schedule to accommodate classes and exams Opportunities to attend industry expos or customer site visits Letter of recommendation upon completion Mentorship from experienced professionals in marketing, e-commerce, and analytics For outstanding interns: priority consideration for full-time role H-1B sponsorship available 📝 Application Process Please submit: Resume Short paragraph on why you're interested Optional: Portfolio, past project, or campaign report (for marketing positions)