Data science internship jobs in Oshkosh, WI

We are seeking a motivated and detail-oriented Project Manager / Business Analyst Intern to join our dynamic team. This internship offers hands-on experience in project coordination, business process analysis, and cross-functional collaboration. The ideal candidate will support ongoing projects while gaining valuable exposure to project management methodologies and business analysis techniques. Key Responsibilities Project Management Support * Assist in planning, organizing, and tracking project deliverables and timelines * Support project managers in coordinating meetings, preparing agendas, and documenting action items * Help maintain project documentation, including project plans, status reports, and risk registers * Monitor project progress and assist in identifying potential roadblocks or delays * Coordinate communication between project team members and stakeholders Business Analysis Activities * Gather and document business requirements through stakeholder interviews and workshops * Assist in analyzing current business processes and identifying improvement opportunities * Support the creation of process flows, user stories, and functional requirements * Help with data collection and analysis to support business decisions * Assist in testing and validating solutions against business requirements Administrative and Analytical Support * Prepare presentations and reports for project stakeholders * Maintain project management tools and databases * Conduct research on industry best practices and emerging trends * Support quality assurance activities and process documentation * Assist with vendor coordination and contract tracking as needed Qualifications Required * Currently enrolled in or recent graduate of a Bachelor's degree program in Business Administration, Management, Information Systems, Engineering, or related field * Strong analytical and problem-solving skills * Excellent written and verbal communication abilities * Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) * Detail-oriented with strong organizational skills * Ability to work independently and manage multiple tasks simultaneously * Professional demeanor and ability to interact with various stakeholders Preferred * Familiarity with project management tools (e.g., Microsoft Project/Planner, Azure Dev Ops, Miro, M.S. Visio) * Basic understanding of project management methodologies (Agile, Waterfall, Scrum) * Experience with process mapping or business analysis techniques * Knowledge of data analysis tools (e.g., SQL, Tableau, Power BI) * Previous internship or work experience in a business environment * Strong interest in pursuing a career in project management or business analysis What You'll Gain * Hands-on experience with real-world projects and business challenges * Exposure to various project management and business analysis methodologies * Mentorship from experienced project managers and business analysts * Networking opportunities within the organization * Professional development through training sessions and workshops * Potential for full-time employment consideration upon successful completion Company Description Comprised of a market-leading portfolio of best-in-class brands, the businesses of ITW Welding work together to provide premium performance delivered through a breadth of solutions encompassing welding, cutting, consumables, and accessories. ITW Welding North America represents Miller Electric Welding Equipment, Safety & Accessories, Hobart Filler Metals, and Bernard / Tregaskiss MIG Guns. Miller Electric Mfg. LLC, is headquartered in Appleton, Wisconsin, and wholly owned by Illinois Tool Works (NYSE: ITW). The company maintains its industry leadership by setting the standard for reliability, quality and responsiveness. Our tagline, "The Power of Blue," is inspired by the blue color of Miller equipment. The company began with an innovation that responded to customer needs, growing from a one-man operation in 1929, to the world's largest manufacturer of arc welding products. Miller keeps the tradition alive by focusing on its top priority: people. Additional Information ITW Welding 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, or protected Veteran status, age, or any other characteristic protected by law. ITW is an equal opportunity employer. We value our colleagues' unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care. Coordinate and oversee the data entry process for critical information in the ERP system. Establish and maintain guidelines, assessing master data related issues and implementing improvement initiatives. Work with users from across the organization to optimize master data practices for the ERP and aid in the development of system reporting and dashboards for evolving business needs. MINIMUM REQUIREMENTS Education: Relevant experience considered Experience: Minimum 2+ years of ERP or related software experience Experience with ERP or related software Experience with master data related to manufacturing, construction, financials Capability to coordinate work with cross functional teams Development and adherence to business standards Travel: 0-10% Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. However, work may be performed at any time on any day of the week to meet business needs. KEY RESPONSIBILITIES Develop and maintain data entry guidelines and procedures to streamline data input and minimize errors. Provide training and support to staff on data entry best practices and ERP system usage. Coordinate mass data entry processes to ensure accuracy and consistency across the ERP system. Collaborate with various departments to aid in the development of system reporting based on changing business needs. Monitor data entry accuracy to ensure compliance with established data governance and standards. Train users on data reporting capabilities and share new technologies for improved analytics over time. Analyze system data to identify discrepancies, inconsistencies, and areas for improvement. Drive the development and implementation of data quality improvement initiatives. Work with Business Technology and other stakeholders to resolve data-related issues and enhance system functionality. Manage the data obsolescence process. Ensure data security and confidentiality in accordance with company policies and regulations. Performs other related duties as required and assigned. The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. How Does FTI Give YOU the Chance to Thrive? If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future. Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success. FTI is a “merit to the core” organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package. Benefits are the Game-Changer We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today! Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. YOUR IMPACT: Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. Coach and mentor other team members on new technologies and best practices across data science and business intelligence. Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. Actively supports the advancement of the strategic roadmap for data science. MINIMUM QUALIFICATIONS: Bachelors degree with five (5) or more years of experience in the field or in a related area. STANDOUT QUALIFICATIONS: Masters or doctorate degree Expertise in Power Platforms Familiarity with LLM (open source or closed) Experience in Front end web app development (Flaskapp, Gradio etc) Familiarity with RAG architecture Pay Range: $115,600.00 - $196,400.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards Qualifications + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans Job Information Technology Primary Location US-WI-Appleton Schedule: Full-time Travel: Yes, 5 % of the Time Req ID: 253790 \#LI-MF #ACO N/A

Acuity is seeking a Data Scientist - Strategic Analytics to work with business leaders to inform company strategies and decision-making through an objective viewpoint by leveraging the team's expertise in deep business knowledge, leveraging data as an asset, and utilizing statistical and advanced analytical techniques as appropriate. The role of Data Scientist - Strategic Analytics uses advanced statistical and analytical techniques to inform highly complex and sophisticated business questions. The data scientist will apply and integrate advanced statistical, mathematical, data mining, and business analysis skills and techniques to discover new behavioral insights, predict outcomes, prescribe decision options, and advise on turning new insights into actionable opportunities. Internal deadline to apply: December 22nd, 2025 ESSENTIAL FUNCTIONS: * Develop solutions, to support analytic insights and visualization using mathematical models, algorithms, machine learning techniques, and robust analytics. * Partner with business clients and technical leaders to spearhead the development of standards for appropriate statistical methodology, study design, power and sample size estimation, and data analysis plans for behavioral analytics. * Provide data driven decision support for key initiatives of company strategy and measurement related to client, claims, sales, and campaign analyses to understand both growth and economic impact. * Determine requisite data elements and partners with data engineers to design integrated datasets for analytical research purposes. * Work closely with machine learning engineers and business partners to develop and build behavioral data science and analytics products. * Effectively present analytical results and derived recommendations for action to senior leaders, peers, and product team members. * Regular and predictable attendance. * Performs other duties as assigned. EDUCATION: Bachelor's degree in data science, statistics, math, computer science, economics, or related field. Advanced graduate level degree in a quantitative discipline (statistics, applied mathematics, computer science, econometrics, or a related field) is preferred. EXPERIENCE: A minimum of three years relevant experience to include research and data analysis, experiment design and measurement, or application of statistical research techniques. OTHER QUALIFICATIONS: * Expertise in one or more development or statistical analysis tool such as R, Python, SAS, SQL, SPSS, or other tools. Tableau experience is a plus. * Proven excellence in research, quantitative analysis, problem solving, and analytical working techniques. * Statistical knowledge and intuition * Strong aptitude and desire for learning new analytical and visualization tools, modeling, and quantitative techniques. Initiative to independently design and develop own deliverables while still being a team player. * Demonstrates ability to deliver results and recommendations in written, verbal and presentation form at an appropriate level for a business audience. * Acuity does not sponsor applicants for U.S. work authorization.* This job is classified as exempt. We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved. If you have a disability and require reasonable accommodations to apply or during the interview process, please contact our Talent Acquisition team at ******************. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.

**At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.** **SUMMARY:** As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. **YOUR IMPACT** **:** + Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. + Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. + Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. + Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. + Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. + Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. + Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. + Coach and mentor other team members on new technologies and best practices across data science and business intelligence. + Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. + Actively supports the advancement of the strategic roadmap for data science. **MINIMUM QUALIFICATIONS:** + Bachelorsdegree with five (5) or more years of experience in the field or in a related area. **STANDOUT QUALIFICATIONS:** + Masters or doctorate degree + Expertise in Power Platforms + Familiarity with LLM (open source or closed) + Experience in Front end web app development (Flaskapp, Gradioetc) + Familiarity with RAG architecture **Pay Range:** $115,600.00 - $196,400.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

We are seeking a motivated and dynamic Business Operations & Research Analyst Intern to join our Summer 2026 Internship Program. This intern will support our U.S. Energy division and have a unique opportunity to gain hands-on experience across multiple functional areas, contributing to various projects and initiatives that will help launch our innovated EV charging solution Volt Vault from an early stage to a mature program. This intern will work closely with professionals from departments such as Operations, Marketing, Supply Chain, and customer service, gaining a holistic view of how different business functions collaborate to achieve corporate goals. Volt Vault Link: ******************************************************************** RESPONSIBILITIES Project Support: Assist in the planning, execution, and monitoring of key initiatives across departments. This may include market research, process improvement, data analysis, and product development. Cross-Functional Collaboration: Work with different teams to understand their roles and responsibilities. Provide support for projects that span multiple areas such as new product launches, supply chain optimization, and marketing campaigns. Data Analysis & Reporting: Gather and analyze data to help make informed decisions. Create reports and presentations for stakeholders to track project progress and outcomes. Process Improvement: Assist in identifying areas for operational efficiency and recommend solutions to streamline processes within manufacturing, distribution, or customer service. Supply Chain Management: Support in logistics planning, procurement, and inventory control, ensuring smooth coordination between suppliers and internal teams. QUALIFICATIONS Current student pursuing a degree in Business, Engineering, Marketing, Supply Chain, Operations, Sales or a related field. Junior or Senior status preferred. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills with the ability to collaborate across departments. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Detail-oriented with a passion for learning and contributing to team efforts. Ability to manage multiple tasks and prioritize in a fast-paced environment. A self-starter with the ability to work independently and as part of a team. DIVISION: U.S. Energy U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at **************.

Project Data Analyst Co-op Department: Project Management / Product Engineering Term: Spring/Summer 2026 (January-August) Summer/Fall 2026 (May-December) Fully On-Site: This internship is not eligible for virtual work. About the Role As a Project Data Analyst Co-op, you will play an integral role in supporting our Project Management and Product Engineering teams. This immersive, full-time experience offers you an opportunity to apply your analytical and project management skills in a real-world setting. You'll work on meaningful projects, collaborate with experienced professionals, and contribute innovative ideas to help shape how we manage projects and resources. This co-op is designed to provide you with valuable experience, while allowing us to assess your potential for future full-time opportunities. College credit may be available, depending on your program. Responsibilities What You'll Do You will be responsible for supporting a variety of impactful projects, including: 1. Resource Planning Tools Development Leverage historical data, AI, and internal expertise to design and implement a database and set of tools for resource planning. Analyze project scopes and complexity to develop metrics that empower effective resource allocation. 2. Lessons Learned Database Creation Develop a robust database for documenting lessons learned, with a focus on risk management and project plan baselining. Collaborate with project teams to collect, classify, and structure knowledge for future use. 3. Metrics Identification & Implementation Identify and help implement key metrics for project management and engineering effectiveness. Regularly analyze and report on data to support strategic decision-making and process improvement. You will also have the opportunity to assist with additional special projects as assigned, all designed to stretch your capabilities and offer a comprehensive introduction to project analysis within a manufacturing environment. Qualifications Who You Are Majors Preferred: Analytics, Engineering, Project Management, or similar. Problem Solver: Able to collect and synthesize information from various sources to guide your work. Communicator: Able to clearly express complex ideas, tailor information to your audience, and present compelling findings. Change Agent: Enthusiastic about learning new systems and practices, and supporting change initiatives across teams. Creative Evaluator: Approaches tasks with a practical, innovative mindset and helps turn ideas into actionable plans. Qualifications Actively pursuing a degree in Analytics, Engineering, Project Management, or a related field Strong analytical, organizational, and problem-solving skills Proficiency in Excel and data visualization tools; experience with AI/machine learning tools is a plus Excellent written and verbal communication skills Eager to learn and participate in a dynamic, team-oriented environment On-site availability in Ripon, WI for the duration of the co-op term Why Join Us? Gain hands-on experience solving real business problems Contribute to meaningful projects that impact our organization Collaborate with and learn from professionals in your area of study Bring your ideas-we value fresh perspectives! Potential to earn college credit and future full-time employment consideration Ready to jump-start your career in project and data analysis? Apply today to join our team and make your impact! ID 2025-10641 Pos. Type Co-op

Business Office Intern - Spring Semester Hourly Rate: $15 Preferred Majors: Accounting or Business Administration The Business Office is seeking motivated and detail-oriented student workers to support daily operations. This role offers hands-on experience in a professional setting and is ideal for students looking to build administrative and business skills. Key Responsibilities: * Open, sort, and distribute incoming mail * File, scan, copy, and enter data accurately * Prepare and send mass mailings * Create and manage spreadsheets and databases * Perform general office tasks and assist with mailing list preparation * Answer and direct phone calls professionally * Support special projects and other duties as assigned Qualifications: * Strong attention to detail and organizational skills * Excellent customer service and communication abilities * Commitment to confidentiality and professionalism * Willingness to learn and take initiative * Prior experience with Microsoft Office (Excel, Word) is a plus

Work Mode: Onsite Opportunity To serve as a data-driven innovator and strategic enabler, transforming business decisions through advanced analytics, machine learning and AI. This role combines statistical and technical expertise with business insight to unlock patterns, forecast trends, and deliver actionable intelligence that accelerates growth and operational excellence. The Data Scientist will champion the use of data as a competitive advantage-designing robust analytical models, ensuring data integrity, and driving scalable solutions that align with enterprise goals. Key Responsibilities Analytical Modeling and AI Development * Design experiments, test hypotheses, and build predictive models to uncover actionable insights. * Develop and refine algorithms to identify patterns and trends in large, complex datasets. * Validate findings through rigorous statistical methods and iterative testing. * Continuously monitor and optimize models for accuracy, scalability, and business impact. * Prototype and deploy AI-driven solutions that align with strategic business objectives and deliver measurable value. Data Exploration & Architecture * Independently collate, analyze, and interpret large, complex datasets to generate actionable insights. * Consult on data architecture and governance to ensure quality, accuracy, and readiness for advanced analytics. * Identify relevant internal and external data sources and ensure compliance with data standards. * Drive improvements in data pipelines and integration to enable faster, more reliable analytics. Decision Intelligence & Transformation * Partner with stakeholders to translate business requirements into analytical solutions that drive process and product improvements. * Support creation of scalable AI/ML solutions aligned with strategic goals. * Model and frame business scenarios that influence critical decisions and outcomes. * Provide clear metrics and KPIs to demonstrate the impact of analytics initiatives on business performance. * Identify opportunities for automation and optimization to accelerate enterprise-wide transformation. Mentorship & Evangelism * Mentor Functional teams globally on AI tools, prompt engineering, and experimentation. Lead workshops, proofs-of-concept, and training sessions to build momentum and literacy across cultures and time zones. * Share personal and professional learnings to foster a culture of innovation and continuous improvement. * Advocate for responsible AI use and digital fluency across the enterprise Skills/Requirements * Bachelor's degree in Mathematics, Statistics, Computer Science, or related field (Master's preferred). * 1+ years of relevant quantitative and qualitative research and analytics experience. * Demonstrated experience in using, building, or configuring AI tools, bots, or agents-especially by those who actively explore and experiment with emerging technologies, including in personal contexts. Strong familiarity with large language models (LLMs), prompt engineering, and commonly used AI tools. Technical Fluency * Proficiency in Python or R * Strong skills in SQL * Experience with cloud platforms (Azure and Databricks preferred) * Familiarity with prompt engineering and agent-based tools (Copilot Studio, Azure AI Foundry, or similar) * Knowledge of data visualization tools (Power BI, Tableau, or similar) Core Competencies * Creative Problem solving: Works with full competence to find practical solutions for unexpected stakeholder problems. Typically works without supervision * Brings a cross-functional collaborative mindset across business and technical teams; thrives in cross-disciplinary environments to align AI efforts across groups. * Communication and storytelling: Tailors communication content and style to the needs of others. Pays attention to others' input and perspectives, asks questions, and summarizes to confirm understanding * Nimble learning: Learns through experimentation when tackling new problems, using both successes and failures as learning fodder. Swiftly incorporates new concepts and principles into own expertise; skillfully uses these fresh insights to solve problems * Cultivates innovation: Creates new and better ways for the organization to be successful. Offers creative ideas, finds unique connections between previously unrelated elements. Builds upon and strengthens new solutions in a positive and collaborative manner. #LI-DNI Applicants must be authorized to work in the US without requiring sponsorship now or in the future. We believe in supporting you from the moment you join us, which is why Kohler offers day 1 benefits. This means you'll have access to your applicable benefit programs from your first day on the job, with no waiting period. The salary range for this position is $64,750 - $98,350. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location. Why Choose Kohler? We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. About Us It is Kohler's policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact *********************. Kohler Co. is an equal opportunity/affirmative action employer.

Join the Steinhafels Team as a Sales Intern! Work alongside Steinhafels' Store and Sales Managers to learn how to successfully execute the mission statement by helping customers make their homes more beautiful. Interns will be fully trained sales associates and also receive training in e-commerce, customer service, marketing, our accounting department, human resources, merchandising and more. Sales interns will also be exposed to opportunities that will enhance their leadership skills. The Sales intern position has potential to grow into a leadership position amongst our sales team. What sets Steinhafels apart as a top destination for interns? Amazing Earning Potential: This is a full commission sales position with no cap on income potential. During your first 4 pay periods of training, you'll receive an additional $15/hour bonus on top of your commissions. Generous Training & Support: We offer paid training and provide all the tools you need to succeed. You'll work with top-quality products and an excellent service and delivery team. Opportunities for Growth: Our interns have the opportunity to gain exposure to all areas of our organization and explore potential career paths at Steinhafels. Many of our interns have gone on to join us in professional sales, management, and corporate roles after graduation. Steinhafels, founded in 1934, is an employee-owned, family-run company. Our associates have voted us a Top Workplace in Southeastern Wisconsin 10 times! With our positive company culture and strong focus on work-life balance for our associates, we continue to be an employer of choice and are looking to add to our dynamic team. Responsibilities • Asking probing questions to understand the customers' needs • Guiding customers through the store and directing them to products, which meet their needs • Clarifying differences in products • Arranging payment and delivery for sales • Accurately completing all necessary paperwork • Customer follow-up via phone calls and/or thank you note • Utilizing good sales techniques, while following all company procedures • Always keeping customer satisfaction as the top priority Qualifications You must be comfortable using and training on computers and be available to work standard retail business hours, including nights and weekends, when our customers shop the most. Zipcode 54913

Job DescriptionThe V3 Electric Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the V3 program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Learn how to effectively use sales technologies such as CRM's Learn how to generate leads and build a pipeline through cold contacting and door to door contacting. Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407oaph

You've discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care. The Master Data Coordinator coordinates and oversees the data entry process for critical information in new and existing systems. Establishes and maintains guidelines, assessing master data related issues and implementing improvement initiatives. Works with users from across the organization to optimize master data practices for new and existing systems that will aid in the development of system reporting and dashboards for evolving business needs. Has excellent communication skills and ability to work cross-functionally and drive collaboration among diverse stakeholders. MINIMUM REQUIREMENTS Education: Bachelor's degree in Information Management, Data Science, Business, or related field. Experience: 3+ years of experience in master data, data management, data governance, or related disciplines. Knowledge of data quality principles, metadata management, and master data management (MDM). Travel: 0-10% Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. However, work may be performed at any time on any day of the week to meet business needs. KEY RESPONSIBILITIES Develops and maintains data entry guidelines and procedures to streamline data input and minimize errors. Provides training and support to staff on data entry best practices. Coordinates mass data entry processes to ensure accuracy and consistency across new and existing systems. Collaborates with various departments to aid in the development of system reporting based on changing business needs Monitors data entry accuracy to ensure compliance with established data governance and standards. Guides users on data reporting capabilities and sharing new technologies for improved analytics over time. Analyzes system data to identify discrepancies, inconsistencies, and areas for improvement. Drives the development and implementation of data quality improvement initiatives. Partners with Business Technology and other stakeholders to resolve data-related issues and enhance system functionality. Manages the data obsolescence process. Ensures data security and confidentiality in accordance with company policies and regulations. Collaborates with the Data and Analytics team to support an enterprise data catalog. Promotes data literacy and fosters a data-centric culture across the organization. Advocates change management efforts related to data governance adoption and tool implementation. Performs other related duties as required and assigned. The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. How Does FTI Give YOU the Chance to Thrive? If you're energized by new challenges, FTI provides you with many opportunities. Joining FTI opens doors to redefine what's possible for your future. Once you're a team member, you're supported and provided with the knowledge and resources to achieve your career goals with FTI. You're officially in the driver's seat of your career, and FTI's career development and continued education programs give you opportunities to position yourself for success. FTI is a “merit to the core” organization. We recognize and reward top performers, offering competitive, merit-based compensation, career path development and a flexible and robust benefits package. Benefits are the Game-Changer We provide industry-leading benefits as an investment in the lives of team members and their families. You're invited to review the full list of FTI benefits available to regular/full-time team members. Start here. Grow here. Succeed here. If you're ready to learn more about your career with FTI, apply today! Faith Technologies, Inc. is an Equal Opportunity Employer - veterans/disabled.

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. The position supports Oshkosh Corporation's investor relations activities through data-driven shareholder analysis and strategic investor targeting. This role will work closely with senior leadership to assess current and historical shareholder trends, benchmark against peer companies and identify new institutional and ETF investors aligned with the company's Innovate. Serve. Advance. strategy. The successful candidate will gain meaningful exposure to the capital markets and contribute insights used in executive-level decision-making. YOUR IMPACT These duties are not meant to be all-inclusive and other duties may be assigned. Analyze Oshkosh's current shareholder base to identify ownership trends, investor concentrations and engagement opportunities Evaluate historical shareholder movements and turnover patterns to provide context for targeting strategies Benchmark peer company shareholder profiles to assess gaps and new investor opportunities Develop a structured investor targeting database with segmentation by investor type, size, style and activity Identify and prioritize traditional institutional investors and ETFs with strategies aligned to Oshkosh's end markets and long-term growth outlook Prepare summary reports, dashboards and visuals highlighting shareholder dynamics and potential investor targets Support the development of investor targeting lists and outreach strategies for upcoming roadshows and conferences Participate in IR team activities such as earnings preparation, investor outreach and post-call analytics as needed Contribute research and insights to improve the quality of Oshkosh's shareholder base MINIMUM QUALIFICATIONS Current enrollment in an MBA program with a focus in Finance, Strategy or related field Strong analytical and quantitative skills with experience using Excel and PowerPoint; exposure to capital markets data tools preferred Demonstrated ability to interpret financial and market data to derive actionable insights Excellent written and verbal communication skills, capable of summarizing complex topics for executive audiences High attention to detail, intellectual curiosity and strong initiative Ability to work collaboratively and manage multiple priorities in a fast-paced environment Interest in investor relations, equity markets and institutional investor behavior Ability to work up to 40 hours per week during the summer internship period Pay Range: $18.00 - $37.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. YOUR IMPACT: * Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. * Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. * Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. * Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. * Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. * Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. * Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. * Coach and mentor other team members on new technologies and best practices across data science and business intelligence. * Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. * Actively supports the advancement of the strategic roadmap for data science. MINIMUM QUALIFICATIONS: * Bachelors degree with five (5) or more years of experience in the field or in a related area. STANDOUT QUALIFICATIONS: * Masters or doctorate degree * Expertise in Power Platforms * Familiarity with LLM (open source or closed) * Experience in Front end web app development (Flaskapp, Gradio etc) * Familiarity with RAG architecture Pay Range: $115,600.00 - $196,400.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

We are seeking a Business Intelligence Analyst Intern for our Summer 2026 Internship Program. This intern will support our U.S. AutoForce division's finance team. U.S. Venture's Internship Program runs May - August. Dates may vary based on individual class schedules. This position is located in Appleton, WI and will start at 1025 West Navitus Dr, Appleton, WI 54913. We are excited to be transitioning to our new corporate headquarters during this internship timeframe and this position will eventually be located at 222 W College Avenue, Appleton, WI 54911.JOB RESPONSIBILITIES Interpret data, analyze results using statistical techniques and provide ongoing reports Acquire data from primary or secondary data sources and maintain databases/data systems Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct problems Use tools like Power BI to visualize data to create insightful reporting Work with management to prioritize business and information needs Locate and define new process improvement opportunities QUALIFICATIONS Current student pursuing a Bachelor's in Data Science, Statistics, Computer Science or related field. Junior or Senior status preferred. Experience with reporting packages (Tableau, Microsoft Power BI), databases, and programming (SQL, R, Python, SAS, SPSS) Knowledge of statistics and experience using statistical packages for analyzing datasets Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Ability to write queries, generate reports, and present findings Strong communication and facilitation skills Good planning and organizing skills DIVISION: U.S. AutoForce U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at **************.

_Work Mode: Onsite_ **Opportunity** To serve as a data-driven innovator and strategic enabler, transforming business decisions through advanced analytics, machine learning and AI. This role combines statistical and technical expertise with business insight to unlock patterns, forecast trends, and deliver actionable intelligence that accelerates growth and operational excellence. The Data Scientist will champion the use of data as a competitive advantage-designing robust analytical models, ensuring data integrity, and driving scalable solutions that align with enterprise goals. **Key Responsibilities** **Analytical Modeling and AI Development** + Design experiments, test hypotheses, and build predictive models to uncover actionable insights. + Develop and refine algorithms to identify patterns and trends in large, complex datasets. + Validate findings through rigorous statistical methods and iterative testing. + Continuously monitor and optimize models for accuracy, scalability, and business impact. + Prototype and deploy AI-driven solutions that align with strategic business objectives and deliver measurable value. **Data Exploration & Architecture** + Independently collate, analyze, and interpret large, complex datasets to generate actionable insights. + Consult on data architecture and governance to ensure quality, accuracy, and readiness for advanced analytics. + Identify relevant internal and external data sources and ensure compliance with data standards. + Drive improvements in data pipelines and integration to enable faster, more reliable analytics. **Decision Intelligence & Transformation** + Partner with stakeholders to translate business requirements into analytical solutions that drive process and product improvements. + Support creation of scalable AI/ML solutions aligned with strategic goals. + Model and frame business scenarios that influence critical decisions and outcomes. + Provide clear metrics and KPIs to demonstrate the impact of analytics initiatives on business performance. + Identify opportunities for automation and optimization to accelerate enterprise-wide transformation. **Mentorship & Evangelism** + Mentor Functional teams globally on AI tools, prompt engineering, and experimentation. Lead workshops, proofs-of-concept, and training sessions to build momentum and literacy across cultures and time zones. + Share personal and professional learnings to foster a culture of innovation and continuous improvement. + Advocate for responsible AI use and digital fluency across the enterprise **Skills/Requirements** + Bachelor's degree in Mathematics, Statistics, Computer Science, or related field (Master's preferred). + 1+ years of relevant quantitative and qualitative research and analytics experience. + Demonstrated experience in using, building, or configuring AI tools, bots, or agents-especially by those who actively explore and experiment with emerging technologies, including in personal contexts. Strong familiarity with large language models (LLMs), prompt engineering, and commonly used AI tools. **Technical Fluency** + Proficiency in Python or R + Strong skills in SQL + Experience with cloud platforms (Azure and Databricks preferred) + Familiarity with prompt engineering and agent-based tools (Copilot Studio, Azure AI Foundry, or similar) + Knowledge of data visualization tools (Power BI, Tableau, or similar) **Core Competencies** + Creative Problem solving:Works with full competence to find practical solutions for unexpected stakeholder problems. Typically works without supervision + Brings a cross-functional collaborative mindset across business and technical teams; thrives in cross-disciplinary environments to align AI efforts across groups. + Communication and storytelling:Tailors communication content and style to the needs of others. Pays attention to others' input and perspectives, asks questions, and summarizes to confirm understanding + Nimble learning:Learns through experimentation when tackling new problems, using both successes and failures as learning fodder. Swiftly incorporates new concepts and principles into own expertise; skillfully uses these fresh insights to solve problems + Cultivates innovation:Creates new and better ways for the organization to be successful. Offers creative ideas, finds unique connections between previously unrelated elements. Builds upon and strengthens new solutions in a positive and collaborative manner. \#LI-DNI **_Applicants must be authorized to work in the US without requiring sponsorship now or in the future._** _We believe in supporting you from the moment you join us, which is why Kohler offers day 1 benefits. This means you'll have access to your applicable benefit programs from your first day on the job, with no waiting period. The salary range for this position is $64,750 - $98,350. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location._ **Why Choose Kohler?** We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. **About Us** It is Kohler's policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact ********************* . Kohler Co. is an equal opportunity/affirmative action employer.

Join the Steinhafels Team as a Sales Intern! Work alongside Steinhafels' Store and Sales Managers to learn how to successfully execute the mission statement by helping customers make their homes more beautiful. Interns will be fully trained sales associates and also receive training in e-commerce, customer service, marketing, our accounting department, human resources, merchandising and more. Sales interns will also be exposed to opportunities that will enhance their leadership skills. The Sales intern position has potential to grow into a leadership position amongst our sales team. What sets Steinhafels apart as a top destination for interns? * Amazing Earning Potential: This is a full commission sales position with no cap on income potential. During your first 4 pay periods of training, you'll receive an additional $15/hour bonus on top of your commissions. * Generous Training & Support: We offer paid training and provide all the tools you need to succeed. You'll work with top-quality products and an excellent service and delivery team. * Opportunities for Growth: Our interns have the opportunity to gain exposure to all areas of our organization and explore potential career paths at Steinhafels. Many of our interns have gone on to join us in professional sales, management, and corporate roles after graduation. Steinhafels, founded in 1934, is an employee-owned, family-run company. Our associates have voted us a Top Workplace in Southeastern Wisconsin 10 times! With our positive company culture and strong focus on work-life balance for our associates, we continue to be an employer of choice and are looking to add to our dynamic team. Responsibilities * Asking probing questions to understand the customers' needs• Guiding customers through the store and directing them to products, which meet their needs• Clarifying differences in products• Arranging payment and delivery for sales• Accurately completing all necessary paperwork• Customer follow-up via phone calls and/or thank you note• Utilizing good sales techniques, while following all company procedures• Always keeping customer satisfaction as the top priority Qualifications You must be comfortable using and training on computers and be available to work standard retail business hours, including nights and weekends, when our customers shop the most. Zipcode 54304

Job DescriptionThe V3 Electric Marketing internship is an opportunity like no other. Here you will have the opportunity to learn and develop crucial skills in sales, persuasion, work ethic, and professional communication. Completing the V3 program will allow you to fill your resume with real numbers, data and professional experiences. Don't wait, get a head start and come join the team today! Responsibilities & Expectations Develop, refine and master sales and communication skills Successfully engage with clients and provide necessary support for success Promote like-minded success through friendly competition and growth mindset training Be coachable Promote positivity and creative thinking in order to help your team's sales and customer service processes Learn how to effectively use sales technologies such as CRM's Learn how to generate leads and build a pipeline through cold contacting and door to door contacting. Qualifications & Skills Verbal communication Organization Scheduling Time management Professionalism Customer focus Earnings & Company Benefits Average First Year earns $ 25,000-$30,000 in commission (Realistic opportunity to make more) Multiple extra bonuses, competitions, incentives/prizes and opportunities are available Housing/furniture set up for all our employees Networking opportunities Potential opportunity for full-time upon hiring The opportunity to network with like-minded Individuals from all over the country Health and Dental Lifetime gym membership Leadership development The opportunity to live in The San Francisco Bay Area. E04JI802qmf3407oa5u