Data science internship jobs in Saint George, UT - 436 jobs

Join us for an exciting career with the leading provider of supplemental benefits! Our Promise Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. The Financial Data Analyst serves as a critical liaison between the accounting, finance, and data management teams supporting access to the company's financial data from its various systems. This role leverages SQL, reporting tools and strong analytical skills to extract, validate and reconcile financial information from various systems. As the Financial Data Analyst, you play a key role in supporting the Accounting and Finance teams through data extraction, reconciliation, and analysis to ensure the accuracy and integrity of financial reporting. This position combines financial acumen with strong data management and analytical skills to streamline financial processes, enhance reporting capabilities, and provide insights that support strategic decision-making in the organization. The Financial Data Analyst is a business partner for multiple stakeholders and reports directly to the Corporate Controller. This position is responsible for supporting the financial operations of the Company through enhancement of financial transparency and operational efficiency by automating reports, identifying discrepancies and providing data driven insights that support decision making. This role will assist the team in maintaining accurate financial records, annual audits, state and client deliverables, and adherence to GAAP and Statutory Financial Statement Accounting Standards. The Financial Data Analyst will participate in key projects as assigned. Competencies: - Functional: Financial Data Management & Reporting Extract, validate, and manage large volumes of financial and operational data from multiple systems (e.g., general ledger, claims, policy administration, and billing platforms) Support the Accounting team in month-end and year-end closing activities through data reconciliation and variance and trending analysis. Develop and automate financial reporting dashboards and reports to improve visibility into revenue, claims costs, reserves, and administrative expenses Reconcile and validate data between accounting and operational systems to ensure consistency and accuracy in financial statements as needed Collaborate with accounting and finance teams to identify and correct discrepancies or data anomalies in key reports Data Analysis & Insights Analyze financial metrics such as loss ratios, medical cost ratios (MLR), premium revenues, and claims reserves Develop and maintain financial models and data visualizations that support management reporting and compliance requirements Provide ad-hoc financial analysis to support audit preparation, budgeting, and strategic planning Identify opportunities to automate manual accounting and reporting processes through advanced analytics tools Collaboration & Cross-Functional Support Partner with IT, Finance, and Accounting to enhance data integration across systems (ERP, claims, policy management, etc.) Support the implementation of data governance standards to ensure consistent data definitions and reporting accuracy focused on financial data flowing into the general ledger Work with auditors, compliance officers, and regulatory reporting teams to provide accurate, timely data extracts and documentation as applicable. Assist in preparing regulatory and management reports related to claims costs, medical loss ratios, and other financial metrics as assigned. Core: Familiarity with accounting principles (GAAP) and financial statement preparation Proficiency in SQL for data extraction and analysis Advanced Excel skills (macros, logical functions, arrays, nested formulas, power query, power pivot) Proficiency with BI tools (Power BI, Tableau, or Looker) for reporting and visualization Understanding of healthcare/insurance regulatory compliance. Experience with policy administration and claims systems in the insurance industry Excellent analytical, organizational, and communication skills with the ability to present complex data in clear actionable terms. Ability to work collaboratively across departments and levels of the organization. Behavioral: Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth. Initiative: readiness to lead or take action to achieve goals. Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing. Member-focused: going above and beyond to make our members feel seen, valued, and appreciated. Detail-oriented and thorough: managing and completing details of assignments without too much oversight. Flexible and responsive: managing new demands, changes, and situations. Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task. Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required. Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties. Minimum Qualifications: Education: Bachelor's degree in Computer Science, Business Analytics, Economics, Data Science or a related field. Experience: 3 to 5 years of experience in financial data analytics. Experience: 2 years SQL query writing for data extraction and analysis Advanced Excel skills As this role is a remote role, you are required to maintain internet service that allows you to complete your essential job duties without issue. Rates of 50 Mbps download and 25 Mbps upload while hardwired and not on a VPN are sufficient. Preferred Qualifications: Experience with healthcare insurance data (claims, premiums, reserves, or member data) Experience with Smartsheet Experience with Microsoft Power BI Knowledge of the insurance or financial services industries highly desired. Six Sigma green belt training. At Avsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are: Zone A: $67,490.00-$112,490.00 Zone B: $73,550.00-$122,580.00 Zone C: $79,190.00-$131,990.00 FLSA Status: Salary/Exempt This role may also be eligible for benefits, bonuses, and commission. Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. We Offer Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way. Competitive compensation package. Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period. Life and disability insurance. A great 401(k) with company match. Tuition assistance, paid parental leave and backup family care. Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent. Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best. Employee Resource Groups that advocate for inclusion and diversity in all that we do. Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability. How To Stay Safe Avsis is aware of fraudulent activity by individuals falsely representing themselves as Avsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company. Avsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avsis recruiters will come from a verified email address ending in @ Avsiscom. We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to . To learn more about protecting yourself from fraudulent activity, please refer to this article link (articles/how-avoid-scam). If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: #/) with the Federal Trade Commission. Avsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity. Equal Employment Opportunity At Avsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avsis, where We See You!

This position is primarily for educational or religious purposes and should be used for providing valuable educational experiences for the Intern. It is to give the Intern an opportunity to see how principles and practices learned in their educational institutions are applied in actual work setting. Under general supervision, the Intern performs work as assigned by the department. Specific skills used include building Power BI dashboards Writing SQL queries Analyzing data for reporting needs Consolidating and deprecating previous analytic work Documenting meta-data Building machine learning models. Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Responsibilities may vary by assignment depending on department and need. The Intern receives assignments from supervising staff. The Manager reviews the Intern's work occasionally. The supervisor reviews each assignment as it is completed. The Intern is expected to meet rigid and challenging deadlines, work in harmony with other people, take direction on each assignment, and give full attention to detail. Independence in working, tact, and diplomacy are required. Sound judgment of Church doctrine, history, organization, policy and protocol are also expected.

Introduction to the job ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. The Customer Support (CS) organization is responsible for the installation, qualification, repair and maintenance of the ASML systems at customer sites and is responsible for the necessary transfer of know-how to the customer. Local Customer Support branches perform these tasks for the customers within the specific region. Your Assignment Understand the basics of semiconductor manufacturing, especially the Lithography manufacturing process and the importance of ASML's role. Learn about ASML's products and Applications Engineering team's approach to enable next node developments with our customers. Obtain customer service skills in an tech industry environment Interns will typically be required to document and present their findings as well as making an end of summer presentation to the group about what they achieved during their internship. Past projects have included: Identifying and documenting goals and targets (KPIs). Evaluating current processes and updating documentation to adhere to continuous improvement methodologies (LEAN/6 Sigma). Creating data visualizations to identify potential opportunities for automation (Tableau/Power BI/Python). Collaborating with Engineers from other areas and shifts to identify Best Known Methods (BKMs). Participating in projects to improve performance of the FAB. Education and experience Must be enrolled in a Masters or PhD program at the time of the internship. Preferred Majors: Physics, Optics, Electronics, Micro-electronics, Mechanical Engineering, Material Science Engineering, Computer Science, Electrical Engineering, Chemical Engineering or IC manufacturing. Minimum 6 months experience with MATLAB, Python, or equivalent data analysis software. You are able to clearly communicate status and progress of a project to the engineering and management team You thrive in frequent collaboration with our teams and customers Skills Working at the cutting edge of tech, you'll always have new challenges and new problems to solve - and working together is the only way to do that. You won't work in a silo. Instead, you'll be part of a creative, dynamic work environment where you'll collaborate with supportive colleagues. There is always space for creative and unique points of view. You'll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you'll need the following skills: Can learn and apply new information or skills. Must be able to read and interpret data, information, and documents. Ability to complete assignments with attention to detail and high degree of accuracy. Proven ability to perform effectively in a demanding environment with changing workloads and deadlines. Result driven-demonstrate ownership and accountability. Identifies bottlenecks and drives improvements. Work independently or as part of a team and follow through on assignments with minimal supervision. Demonstrate open, clear, concise and professional communication. Ability to establish and maintain cooperative working relationships with manager, co-workers and customer. Work according to a strict set of procedures within the provided timelines. You must be work authorized in the United States without the need for employer sponsorship. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Job Description Computer Science / Data Science Intern - Manufacturing Systems & Analytics Schedule: 20-40 hours per week Employment Type: Internship / Co-Op (Paid) About GTI Fabrication GTI Fabrication is investing heavily in manufacturing systems, data visibility, and operational analytics. This role supports the intersection of software, data, and manufacturing operations. Role Overview The Computer Science / Data Science Intern will support manufacturing analytics, systems integration, and reporting initiatives. This role works closely with operations, engineering, and business systems teams to turn raw production data into actionable insights. Key Responsibilities Support development of dashboards and reports for production, quality, and inventory metrics Assist with data extraction, cleaning, and analysis from ERP/MES systems Help automate manual reporting processes using scripts or tools Support basic SQL queries and data modeling efforts Participate in manufacturing systems improvement projects Document system workflows and data definitions Collaborate with engineering and operations teams to understand real-world data needs Qualifications Currently pursuing a degree in Computer Science, Data Science, Information Systems, or related field Able to work at least 20 hours per week Working knowledge of Python, SQL, or similar programming languages Strong analytical and problem-solving skills Interest in manufacturing systems, analytics, or industrial technology Experience with Power BI, Tableau, or similar tools is a plus What You'll Gain Real-world experience applying software and data skills in manufacturing Exposure to ERP, MES, and operational data systems Hands-on analytics projects tied to production outcomes Mentorship from systems and operations leaders

Internship Opportunity: Data Science Department: BCI Neuralace - Data Science Duration: 3 Months - 6 Months (Possible Contract Extension) Our Mission Blackrock Neurotech is 100% focused on improving human lives through neuroscience research and technology. The passion and dedication behind this mission has nurtured a dynamic, enjoyable and fulfilling corporate environment in which learning, and growth are commonplace. We operate in an innovative field that requires our staff to meet the highest standards. Every step of the way, we encourage one another by providing continuous motivation and promoting a healthy work environment. Community Contributions Not only are Blackrock's employees committed to improving lives through their work, but many also strive to improve the community by volunteering in their spare time. Our efforts vary from donating blood and feeding the hungry to volunteering at the Utah Food Bank. We also value community education -teaching science labs to children, coaching sports teams, and teaching first aid courses. We take pride in our employee's extracurricular activities that contribute to the betterment of local communities. Disclosure In order to provide a safe and productive work environment, all offers of employment at Blackrock Neurotech are contingent upon a thorough background check. A criminal history will not automatically disqualify a candidate from an offer of employment. About Neuralace Neuralace is advancing the future of brain-computer interface (BCI) technology through innovation, precision, and purpose. We're growing a team dedicated to developing groundbreaking neurotech solutions that bridge the gap between science and real-world impact. About the Internship The BCI Data Science team develops the algorithms and signal-processing pipelines that lie at the heart of brain-computer interface (BCI) technology. We are a multidisciplinary group of data scientists, engineers, and neuroscientists who transform complex neural signals into reliable, real-time control. Working closely with hardware, software, and clinical teams, we design and optimize machine-learning models that push the boundaries of neural decoding. We value rigorous experimentation, creative problem-solving, and open collaboration. Technical Skills * Strong Python programming and software engineering fundamentals * Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) * Signal processing expertise (filtering, Fourier/wavelet transforms, feature extraction) * Knowledge of neural decoding methods and real-time data streaming Analytical Abilities * Ability to build and validate predictive models * Statistical rigor in model evaluation and performance tuning * Data-wrangling skills for large, high-dimensional datasets Personal Qualities * Curiosity and creativity in algorithm design * Collaborative mindset for working with engineers, clinicians, and researchers * Comfort explaining complex data insights to mixed audiences Internship Benefits * Public transportation pass reimbursement (up to $100/month) * Company swag * Company-sponsored events * Company-sponsored intern social events * 12 company-paid holidays * 3 paid sick days * Employee recognition program * Weekly catered lunches * Fully stocked kitchen with snacks and drinks

At Office1, we leverage our "winning triangle" to create an unparalleled company culture. We align our commitment to our customers with our employee goals. We understand that our employees enable our customers' success and that is why we focus on creating opportunities rooted in our employees' purpose and passions! What is Office1? As a leading provider of office technology solutions in the SMB space, Office1 has been serving our customers since 1995. We offer our customers a unique SaaS-like engagement to manage all their technology technological needs this has enabled Office1 to become one of the fastest-growing managed service providers in the Western United States. Come help us shape the future! We are looking for a positive energetic individual to join our amazing team that can fill our hybrid role CRM Data Analyst and Programmer. This role of far from one-dimensional and requires a result-minded individual. This role will also undertake a wide range of projects. This is an onsite position, Mon-Fri 8am- 5pm. What You'll Be Doing: •Maintain developmental, sandbox, and production environments. • Develop and deploy Creatio CRM • Fix bugs in existing code. • Collaborate with product, design, and marketing teams. • Provide technical assistance and support for incoming queries and issues related to custom software. • Write standard Processes and Procedures. • Train end users. • Maintain documentation per company standards. • Resolve user-submitted problems and questions. • Meets deadlines by working at a quick & steady pace while still maintaining quality/accurate work. • Provide assistance to administration and technical divisions on an as-needed basis. • Submit required reports on a timely basis. • Design and support Creatio CRM and other custom software as needed. • Develop and maintain relationships with all software vendors. • Attain agreed-upon business objectives and targets as stated in the Bonus Plan. • Pursue professional training as needed to stay current in industry technology. • Maintain confidentiality regarding the information being processed, stored or accessed. Requirements Requirements Technical Skills Creatio (formerly bpm'online) is a low-code platform, and customization can be done using a combination of declarative tools and server-side scripting. While Creatio itself doesn't require a specific programming language for basic customization, some advanced customization, integrations, and server-side logic may involve the use of specific languages. Data Analyst Skills Data Analysis and Interpretation: Ability to analyze and interpret complex datasets to extract actionable insights. Proficiency in identifying patterns, trends, and outliers in data. Data Visualization Experience with data visualization tools such as Tableau, Power BI, or other similar tools. Skill in creating meaningful and impactful reports, dashboards, and visualizations. Capability to clean and preprocess data to ensure accuracy and reliability. Knowledge of techniques for handling missing or inconsistent data. Business Acumen Understanding of business processes and the ability to align data analysis with organizational goals. Skill in translating business questions into analytical approaches. CRM System Understanding Familiarity with the specific data structures and modules within a CRM system (Creatio, in this case). Understanding of how data flows within the CRM and the implications for analysis. Data Integration Skills Experience with integrating data from various sources into a unified dataset. Knowledge of ETL (Extract, Transform, Load) processes for data integration. Continuous Learning A mindset of continuous learning and staying updated on the latest trends. Programming Skills JavaScript: JavaScript is commonly used for client-side customization in Creatio. You can use JavaScript to enhance the user interface, create custom controls, and handle client-side events. Programming Skills C#: C# is used for server-side scripting and business logic implementation in Creatio. When you need to create complex business rules, workflows, or custom server-side functionality, you may write C# code. Familiarity with Object Oriented Programming is a plus. MSSQL: SQL (Structured Query Language) is essential for working with the database. You might use SQL for creating custom database queries, stored procedures, or for data manipulation tasks within Creatio. ASP.NET: The ASP.NET Framework is used with C# to develop the Creatio web application. CSS and HTML: For UI customization and styling, you may use Cascading Style Sheets (CSS) and Hypertext Markup Language (HTML) within Creatio. Basic reading, writing, and arithmetic skills. Outstanding knowledge of O365 Ability to think on your feet and deal with problems as they arise Ability to manage a project from start to finish; communicating milestones Knowledge of RMM and PSA Detail oriented with excellent organizational skills Excellent verbal and written communication skills Aptitude in problem-solving Strong interpersonal skills Desire to work as a team with a result driven approach Strong knowledge of hardware and performance troubleshooting. Diversity Office1 believes we work more productively, and our jobs are more enjoyable, when our team includes members with a diversity of backgrounds and life experiences. We take all reasonable steps to seek out candidates with diverse experience and ensure our work environment is welcoming and respectful for everyone on our team. Benefits As part of Office1, you'll receive world class benefits, including: Paid Personal Time Off Paid Holidays Vacation Time Medical, Dental, and Vision (with a generous contribution) Supplemental Benefits (STD/ LTD, Life, EAP & more) 401K Matching Onsite Parking Onsite Gym, Showers and Lockers Activity Rooms

Job Description is hybrid in Phoenix, AZ - with some time spent in office for meetings. In Person interview is required. Our direct client has an opening for a Data Analyst 5681. is up to 12 months with the option of extension. The client is in Phoenix, AZ. Please send us your rate and resume. 50% - Develop test plans/scenarios/cases/scripts to ensure appropriate test coverage. Provide direction to developers to implement solutions per requirements. Execute testing based upon documented test cases/scripts and ensure applications tested meet customer defined business requirements per documented user acceptance criteria. Conduct user acceptance testing with end users to ensure implemented solution meets expectations. Document and track software defects as well as issues with performance and usability. 30% - Identify, evaluate, and document business needs and objectives, operational processes and procedures, problems and requirements. Understand the business case, and gaps in documented business process (as is vs. to be). Perform requirements elicitation/documentation/management, as well as use case documentation (standard, alternate, and error) to assist developers in creation of solutions to meet business objectives. Leverage understanding to document meaningful user acceptance criteria for user stories. Capable of facilitating communication between stakeholders from all levels of the organization while objectively identifying and resolving conflict. 20% - Identify and document processes and procedures related to Business Analysis and Quality Assurance standards, including opportunities for improvement. Identify candidates for test automation, document test flow and data requirements/dependencies, and implement using approved tools. Required Skills • Windows Server Experience • SDLC - Agile (Scrum, Kanban) Experience • Intermediate Visual Studio/TFS/VSTS Experience • Intermediate VSTS Experience • Intermediate STLC Experience • Intermediate .Net Applications, ETL Experience • Intermediate SQL Server 2008 R2 & 2016 Experience • SSIS/SSRS Experience • Backend database testing to include: tables/views • Intermediate MS Office (Word, Excel, PowerPoint, Access) Experience Nice-To-Have Skills • Backend database testing to include: indexes, triggers, stored procedures, packages • Experience with API testing • Experience with Automated testing

Job Description Our client operates at the crossroads of energy and home services, fueled by the vision of a smarter, cleaner future. Committed to developing groundbreaking solutions, they aim to streamline their customers' lives by providing energy, protection, and smart services for their homes and businesses. Our client is seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. Required Qualifications Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). Ability to take models from concept to production in collaboration with engineering partners. Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). Excellent communication and storytelling skills for complex, data-driven topics. Preferred Qualifications Experience with energy forecasting, thermal modeling, or Demand Response optimization. Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. Familiarity with LLM or generative AI applications in analytics and optimization. Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives.

Data Analyst 4 Job ID: 21-11545 Client is seeking a Data Analyst to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. Job Responsibilities: * Expert level knowledge and experience in complex database structure (preferably in MDM and EDW environment) * Must have experience writing complex SQL (preferably ORACLE) and experience in Microsoft products - Excel, PowerPoint and Visio * Must have experience in Analyzing Data Quality, Control and Health Check. * Identified DQ gaps for various (in few 100s) existing "DQ Health Check batches" * Independent and pro-active while able to make decision and handle pressure in fast pace environment * Drive projects from discovery phase to solution proposal to delivery and Coordinate with all impacted line of businesses, IT Partners and various work streams * Prior experience in Banking and Finance preferred * Prior PM experience will be helpful * Thorough understanding and application of principles, standards, industry practices, techniques and concepts * Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. * Demonstrated ability to develop solutions to highly complex and diverse analytical problems which requires an in-depth evaluation of variable factors. * Must have solid organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines with quality results. * Job details *

+ A Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. + We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. + Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. **Responsibilities:** + Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. + Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. + Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. + Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. **Experience:** + Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). + Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. + Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). + Ability to take models from concept to production in collaboration with engineering partners. + Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). + Excellent communication and storytelling skills for complex, data-driven topics. **Skills:** + Experience with energy forecasting, thermal modeling, or Demand Response optimization. + Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. + Familiarity with LLM or generative AI applications in analytics and optimization. + 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives. **Education:** + Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Rocky Vista University in Ivins, UT has an opening for an Institutional Data Analyst (Full-Time) To be considered for this position applicants should submit a resume/cover letter and salary requirements on our Careers page at ************ SALARY: $23.25 - $27.50 per hour. The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to skill, knowledge, experience, education, and credentials. BENEFITS: RVU offers a full benefits package that includes Health, Dental and Vision insurance, along with 2 weeks (minimum) accrued paid vacation days per year, 12 accrued sick days per year, personal days, 13 ½ paid holidays and 401(K) match up to 7% based on employee's contribution. Commitment to Inclusive Excellence: We are Rocky Vista University (RVU), a diverse, equitable, and inclusive healthcare education university that recognizes, values, and respects the commonalities and differences reflected in our students, staff, faculty, and alumni. We strive to be compassionate healthcare educators and practitioners who embrace and champion inclusive excellence. RVU is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Primary Purpose Rocky Vista University seeks a highly collaborative professional with a profound curiosity about data to serve as a key technical leader in managing the office's institutional data environment. As a statistician, survey design expert, and data steward, this professional will collaborate strategically and collegially with business partners across the institution to contribute to RVU's culture of data-informed continuous improvement. This professional will fill an important role in helping the institution realize its commitment to data-informed decision-making. Reporting to the Manager of IRR, the incumbent will follow clear processes and timelines for institutional research and data governance including data collection, cleaning, transformation, analysis, and reporting. A values-oriented professional with strong interpersonal skills, the Institutional Data Analyst will work with departments and programs to extract and report data for various purposes and constituents, both internal and external. NOTE: This is position is housed on site at RVU's campus in Ivins, Utah. Essential Job Functions Provide expertise regarding survey design, sampling, deployment, data collection, statistical analysis, interpretation, and reporting. Conduct and accurately interpret higher-level statistical analyses (such as multivariate analyses, predictive modeling, etc.) using SPSS or similar software to ensure accurate understanding of institutional data. Fulfill data requests from colleagues across the institution, collaborating and communicating to ensure that the finished product meets the needs of the requesting party. Contribute to institutional accreditation, state, and federal reporting requirements. Write and troubleshoot ad hoc SQL queries to fulfill data requests; update and maintain existing queries to ensure accuracy. Develop, collect, and distribute a wide variety of qualitative and quantitative institutional data to inform and support the ongoing planning processes of the University. In collaboration with IT business partners, contribute to a sustainable data governance strategy to ensure consistent and accurate report functions. Assist with management of the IRR ticket system to ensure project prioritization in alignment with RVU's mission and goals. Provide support for strategic planning, institutional accreditation, and institutional assessment and evaluation processes as requested. Assist faculty and staff in identifying appropriate data collection methods, policies, and procedures to ensure reliable, appropriate, and legal use of institutional and personally identifiable information. Establish and implement data query methods to ensure streamlined collection and reporting demands. Understand, adopt, and work with multiple software programs that collect and analyze data, and conduct internal and external research to create data sets and metrics that inform decision-making. Perform other duties as assigned. Marginal Job Functions Assist administration, faculty, and staff with special projects as assigned. Required Knowledge, Skills, and Abilities Ability to accurately conduct and interpret higher-level statical analyses (such as multivariate analyses, predictive modeling, etc.) using SPSS or similar software to ensure accurate understanding of institutional data. Experience designing and deploying surveys using Qualtrics or similar software. Expertise with enterprise RDBMS (e.g., Oracle, SQL Server, or PostgreSQL) and demonstrated ability to write efficient and complex SQL queries. Demonstrated proficiency with Excel, including pivot tables and power query. Experience with data visualization tools (Power BI, Tableau, etc.). Demonstrated ability to work in secure databases and uphold data privacy standards (e.g., FERPA). Highly developed organizational skills and detail orientation. Management and prioritization of multiple tasks simultaneously. Excellent written, verbal and interpersonal skills. Minimum Qualifications Bachelor's degree from an accredited institution in Statistics, Information Systems, Computer Science, Data Analytics, or a closely related field. Two (2) years of work experience in higher education, data science, business analytics, quantitative research methods or similar field. Experience designing and deploying surveys using Qualtrics (or similar software) Demonstrated proficiency with statistical analysis and interpreting results Demonstrated collaborative work style, task orientation, ability to meet deadlines. Demonstrated proficiency with Microsoft Office suite (Excel, Word, and Power BI). Preferred Qualifications Earned master's degree in statistics, quantitative research methods, or similar field from a regionally accredited institution. Experience with IPEDS and accreditation reporting. Familiarity with enterprise information systems such as Jenzabar, Ellucian, Sales Force, etc. Final applicant will be required to pass background check and drug screening. Qualified applicants will be contacted. There may be an additional video interview for you to complete. Please watch your email including spam and promotions folder. Rocky Vista University is in full compliance with the Americans with Disabilities Act (ADA) and does not discriminate with regard to applicants or employees with disabilities, and will make reasonable accommodation when necessary. The following are essential abilities and physical requirements for all positions at the University. Ability to orally communicate effectively with others; Ability to communicate effectively in writing, using the English language; Ability to work cooperatively with colleagues and supervisory staffs at all levels; May be exposed to short, intermittent, and/or prolonged periods of sitting and/or standing in performance of job duties; May be required to accomplish job duties using various types of equipment/supplies to include, but not limited to, pens, pencils, calculators, computer keyboards, telephone, etc.; May be required to transport oneself to other campus offices, conference rooms, and on occasion, to off-campus sites to attend meetings, conferences, workshops, seminars, etc. ***************

Job Responsibilities: Manage data scientist and data specialist team. Identify the efficient source for quality data collection, Lead data collection and data mining processes. Ensure and guarantee data integrity. Analyze data and interpret data problems. Plan project, prioritize and streamline all planned data projects. Develop a proper analytic system according to the requirements. Analyze and test the performance of the products. Build reports on the visualization and performance of the products. keep implementing new techniques and models. Line up the data projects according to the goals of the company. Job Skills: Bachelor's degree in Data Science, Computer Science, or other related fields. Proven experience in Data Science and other related fields. Good understanding o techniques of data management and visualization. Expertise in statistical data analysis and predictive data modeling. Good technical and coding knowledge of Python, R language, MATLAB, SQL, and other databases. Outstanding communication skills. Inspiring leadership qualities and organizational skills.

** Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. **WHAT YOU'LL DO** Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: + Exposure to healthcare data and analytics tools + Hands-on experience with data visualization, reporting, and trend analysis + Opportunities to work on meaningful projects that inform strategic decisions + Mentorship from experienced analysts and collaboration across departments **WHAT YOU'LL NEED** **Program Timeline** The interview process for Summer 2026 internships will begin in **January 2026** , with offers expected to be extended in **March** . Interns will officially onboard in **May** , aligning with the start of the summer program. **ABOUT WAYSTAR** Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (**************************** on Twitter. **WAYSTAR PERKS** + Competitive total rewards (base salary + bonus, if applicable) + Customizable benefits package (3 medical plans with Health Saving Account company match) + We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays + Paid parental leave (including maternity + paternity leave) + Education assistance opportunities and free LinkedIn Learning access + Free mental health and family planning programs, including adoption assistance and fertility support + 401(K) program with company match + Pet insurance + Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. **Job Category:** Technology/Engineering **Job Type:** Part time **Req ID:** R2768

Come join Team Atlantis! The Junior Data Analyst will support data-driven decision-making across casino operations by developing and maintaining custom reporting solutions tailored to departmental needs. This role requires a strong attention to detail, as the incumbent will play a vital part in upholding data hygiene standards-ensuring the accuracy, completeness, and consistency of datasets through rigorous validation and cleansing procedures. In collaboration with Senior Data Analysts and operational stakeholders, the Junior Data Analyst will assist in identifying key performance metrics, troubleshooting data discrepancies, and documenting procedures that promote best practices in data integrity. The ideal candidate will possess foundational analytical skills, a commitment to data quality, and the motivation to grow within a fast-paced, dynamic environment. This is a full-time, onsite position (not remote). The salary for this role is $50,000 annually. Responsibilities Utilize knowledge of Structured Query Language (SQL), data warehouses and relational databases in analyzing various data sources (in-house databases, data warehouse, other third-party data sources, etc.) to develop queries and procedures for extracting and communicating required information. Assist in maintaining Player Tracking Database. Responsible for ensuring data integrity for all data sources used. Work closely with all areas of the organization to identify, troubleshoot, and resolve data-related issues of concern. Perform data analysis in order to help develop strategic initiatives for all departments. Review and monitor results in order to enhance revenue generating opportunities. Gather data, organize it into reports and provide conclusions. Responsible for the strict adherence to Compliance policies, internal control procedures and the casino's policies and procedures. Assist in developing, maintaining, and enhancing reports and dashboards to support operational decision-making across departments. Collaborate with internal stakeholders to gather reporting requirements and ensure deliverables meet business needs. Conduct data cleaning, transformation, and validation to maintain high standards of data quality and reliability. Document processes, data definitions, and reporting methodologies to promote consistency and transparency. Partner with IT and analytics teams to ensure data pipelines and reporting tools function optimally. Support ad hoc analysis and special projects as requested by leadership. Stay informed about data governance standards and contribute to continuous improvement of data hygiene initiatives. Performs other incidental and related duties as required and assigned. While performing the duties of this job, the employee may be required to stand; walk; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel crouch or crawl; talk, and hear. The employee may occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to focus. Qualifications Must be at least 21 years old Nevada Gaming Control Card Required. Proficiency in SQL and experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL). Strongly prefer a background in relational and multi-dimensional database management and/or design, data warehouse management, query writing, and report writing. Experience with all Microsoft Office Professional suite applications. Hands-on experience with BI tools such as Power BI, Cognos, Tableau and SSRS. Practical knowledge in accumulating and integrating data for use in report software, spreadsheets, graphs and flow charts. Proven experience in the use of computer systems including database systems, software, data retrieval methodologies and quantitative analysis. Ability to maintain strict confidentiality of classified information. Experience working both independently and, in a team-oriented, collaborative environment. Strong written and oral communication skills and interpersonal skills. Enthusiasm and positive attitude. Knowledge and experience with Slot Player Tracking, Casino Management and Casino marketing systems is preferred. 2+ years casino related work experience and/or training with a college degree in Computer Science, Information Systems, Data Analytics, or Business Intelligence preferred. A combination of experience and education will be considered. Familiarity with HTML and basic web development is a plus. Familiarity with Python and/or R for statistical analysis, data cleaning, and automation of reporting tasks is a plus. ***Must adhere to all appearance standards, including but not limited to no "visible" tattoos/piercings or unnatural hair and nail colors. *** Atlantis Casino Resort Spa fosters a team working environment and an environment that is focused on Team Member recognition and appreciation. Some of the ways in which we accomplish this is by offering the following: Comprehensive benefits (medical, dental, vision, supplemental coverage) 401K retirement savings plan + discretionary match Education Tuition Reimbursement Program Paid Vacation Holiday Pay Recreation /Fitness Discounts Weekly Resort Prizes Career Development and Training Workshops FREE daily meal Internal Advancement We can recommend jobs specifically for you! Click here to get started.

Introduction A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.You'll work with visionaries across multiple industries to: improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your role and responsibilities During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career.At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and could advance to our associate program based on results and performance.Work experiences you could be exposed to:* Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors. * Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights. * Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings. * Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit. We have positions open in these locations: * Atlanta, GA * Austin, TX * Chicago, IL * Dallas, TX * Houston, TX * Phoenix, AZ Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field * Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment. * Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints. * Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges * Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation * Willingness to travel as needed Preferred technical and professional experience * Preferred majors: Data Science, AI, ML, Cognitive Science, Statistics or Engineering * Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications * General Familiarity with databases, data-engineering tools (SQL, Spark, Snowflake) and cloud platforms (e.g., IBM Cloud, Azure, AWS). *Experience with NLP/LLM/GenAI is a plus * Experience: familiarity with eval-driven development of AI Agents, ML&AI Ops/Observability * Skills/Tech: Python, Development/Deployment with coding agents (Cursor, Claude Code, Codex, etc) * Ethics/governance awareness, ability to translate business use cases into models * Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site's Cold War legacy. Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. In this environment, the best ideas need to be voiced and every opinion matters. MSTS offers our regular, full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc. Due to the nature of our work, US Citizenship is required for all positions. Completion of the first year in a related business degree program at an accredited institution, as of the date application is submitted. The declared degree must pertain to the department to which the student will be assigned. Must be actively enrolled in school, as of the date application is submitted. Must have and maintain a cumulative grade point average of 3.0 on a 4.0 scale, as of the date application is submitted. Must be located in the contiguous United States. Must have: Familiarity with PowerBI Planning/organizing skills and initiative Good written and verbal communication skills Ability to follow directions, both written and verbal, and able to work independently as well as part of a team Strong computer skills are desired, including MS Office and computer programming. The primary work location will be at the Nevada National Security Site (located 65 miles northwest of Las Vegas, Nevada). A pre-placement drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must have a valid driver's license. Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, ‘ Identity, Credential, and Access Management ,' and Supplemental Directive NNSA SD 206.2, ‘ Implementation of Personal Identity Verification for Uncleared Contractors .' MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Hourly range for this position is $16.38 to $22.07. Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. THIS IS A CASUAL POSITION WORKING A MAXIMUM OF 900 HOURS PER CALENDAR YEAR. Our Data Analyst intern will work under the direct supervision of a manager & mentor within a variety of areas and will be provided with hands-on participation in ongoing projects at one of the most unique experimental sites in the United States. Duties and Responsibilities: Assist with developing PowerBI dashboards. Collaborate with data owners to identify data sources and metric calculations, automating metric collection and reporting. Create and give presentations on both projects and progress to teammates and management. Participate on small teams of scientists, engineers, and technicians, to devise technical solutions and provide deliverables to customers. Please note these important dates for our 2026 Summer Student Program: January 30th, 2026 - Last day for student internship applications to be accepted. May 19th, 2026 - Summer internship Student Program begins. August 7th, 2026 - Summer internship Student Program concludes.

Responsibilities: Support Demand Team with the Non-Trade Sale (NTS) Volume Planning in Adaptive Model Document the data flow for NTS, Other Packages Volume planning functionality in Adaptive (Including data sources from Snowflake, and user input) Manage master data and dimension hierarchies in Adaptive to be in sync with source systems (some manual and some automated that needs validations) Requirements: Currently pursuing a Bachelor's or Master's degree in computer science or equivalent related program with a graduation date of Aug 2026 or later Understanding of transactional model (SQL table structure) Understanding of star schema modeling (Muli dimensional models) Ability to work with master data elements (dimensions and hierarchies) and transactional data #INDEED-DNI

This position is primarily for educational or religious purposes and should be used for providing valuable educational experiences for the Intern. It is to give the Intern an opportunity to see how principles and practices learned in their educational institutions are applied in actual work setting. Under general supervision, the Intern performs work as assigned by the department. Specific skills used include building Power BI dashboards Writing SQL queries Analyzing data for reporting needs Consolidating and deprecating previous analytic work Documenting meta-data Building machine learning models. Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Responsibilities may vary by assignment depending on department and need. The Intern receives assignments from supervising staff. The Manager reviews the Intern's work occasionally. The supervisor reviews each assignment as it is completed. The Intern is expected to meet rigid and challenging deadlines, work in harmony with other people, take direction on each assignment, and give full attention to detail. Independence in working, tact, and diplomacy are required. Sound judgment of Church doctrine, history, organization, policy and protocol are also expected.

Pay Range: $18.00-$20.00/hr DOE Schedule: Monday-Friday, 9 AM - 5 PM Let's Be Blunt Cannabis isn't just an industry - it's a movement. At Mint Cannabis, we're proud to lead that movement with innovation, integrity, and impact. From cultivation to distribution, every part of our operation is fueled by a passion for quality and a drive to elevate the experience - for everyone. We're looking for a Jr. Data Analyst to join our National Procurement team at our Phoenix distribution hub. This is an entry-level opportunity designed for someone eager to learn, grow, and make a difference in one of the fastest-growing sectors in the country. What You'll Do ● Assist with data entry, organization, and reporting to support the National Procurement team. ● Maintain spreadsheets and shared documents in Google Workspace (Sheets, Docs, Drive, etc.). ● Collaborate with cross-functional teams to ensure data accuracy and timely updates. ● Help analyze inventory and purchasing trends to support informed business decisions. ● Support your manager and team leaders in daily administrative and analytical tasks. What You Bring ● Familiarity with the cannabis industry preferred (but not required). ● Proficiency in Google Workspace (Sheets, Docs, Drive, Gmail). ● Strong attention to detail and willingness to learn. ● Excellent communication and teamwork skills. ● No degree or prior data experience required - we'll teach you everything you need to know! Why Join Mint This is a hands-on opportunity to grow with a team that values curiosity, collaboration, and creativity. If you're motivated, adaptable, and ready to learn in a fast-paced environment, Mint Cannabis is the place to start your journey. Join the Movement. Grow with Mint. Equal Employment Opportunity Statement Mint Cannabis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.