Role Description This is a full-time position. Ability to work independently, typically 40+ hours per week is required. Ability to maintain a professional home office without distraction during workday, typically 9-5 (or 8-4) or as defined by the school. - Provides direct, engaging synchronous and asynchronous learning experiences for students daily (hours are determined by state/client needs). - Provides targeted, personalized feedback using a variety of techniques. - Differentiates instruction based on student level of mastery. - Schedules time daily to access learning management system and review student progress and grade submitted assignments. - Creates a welcoming class environment adhering to course set-up and management guidelines. - Actively learns and engages in curriculum. - Analyzes student data and identifies appropriate actions that improve student achievement. - Adheres to state and client specific policies and procedures, meeting non-negotiable deadlines. - Supports in-class facilitators with classroom management, curricular and instructional issues, as well as basic troubleshooting in a virtual classroom environment that is in line with policies and procedures. - Commitment to personalizing learning for all students. - Ability to attend monthly data analysis meetings, work collaboratively with other teachers to interpret and produce numeric, tabular, and graphic representations of student data, and use it to drive instructional decisions. - Complete additional trainings as part of teacher induction program and annually as required. - Creates and/or augments course content according to prescribed policies and procedures using appropriate asynchronous and synchronous tools under guidance from manager and content team. - Establish and maintain positive rapport with families and proactively communicates with all stakeholders in a timely manner. - Obtains additional State certifications as requested and maintains all active certifications. - Works on additional projects, as needed. - Demonstrates a commitment to diversity, equity, and inclusion with all stakeholders. Qualifications - Bachelor's degree. - Active state teaching license. - Ability to clear required background check. Requirements - Ability to complete training within two weeks. - Receptive to receiving coaching on a regular basis with administrators and teacher trainers. - Ability to embrace change and adapt to ensure excellent student outcomes. - Proficient in Microsoft Excel, Outlook, Word, PowerPoint. - Ability to rapidly learn and adapt to new technologies and teaching platforms. Desired Qualifications - Experience working with proposed age group. - Experience supporting adults and children in the use of technology. - Experience teaching in a synchronous environment such as Zoom or Newrow. - Experience with online learning platforms. Compensation & Benefits - Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level. - Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections. - We anticipate the salary range to be $43,877.00 - $47,500.00. - Eligible employees may receive a bonus. - This salary is not guaranteed, as an individual’s compensation can vary based on several factors. - Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off. Work Environment This is a home-based position.

Role Description The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics. Job Duties & Responsibilities - Data Gathering and Reporting: - Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets. - Participate in data management tasks by querying and merging datasets. - Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. - Data Extraction and Utilization: - Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process. - Support team with data extraction and utilization efforts. - Assist with contextualizing data and data flow automation. - Collaboration and Learning: - Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making. - Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven. - Data Analysis Support: - Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis. - Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods. - Effective Communication: - Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system. - Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills. - Be open to change and actively support change. - Be open to others’ ideas and points of view. - Evaluate employees objectively and provide employees with periodic feedback. - Promote department goals as well as the mission of the hospital. - Communicate goals to fellow staff members. - Maintain department policies and procedures. - Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin). - Maintain and/or communicate to appropriate party function backlog at a set time. - Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed. - Demonstrate acceptance and training of student interns in the department, as directed. - Participate in hospital committees, performance improvement team meetings, and team projects, as directed. - Demonstrate punctuality and preparedness. - Demonstrate effective communication skills. - Demonstrate good organizational skills. - Contribute in a positive, solution-focused manner. - Conduct self in a professional manner. - Demonstrate organizational skills that promote timely response to all inquiries and to task completion. - Communicate with all individuals in a positive and professional manner. - Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution. - Communicate concerns and provide solutions for same. - Project a professional image by wearing appropriate, professional attire. - Ability to influence departments within Rogers and provide technical guidance. Qualifications - Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.). - 1-3 years of experience in a data analysis-related role. - Strong interest in data analysis and a willingness to learn and grow in the field. - Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.). - Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.). - Experience querying data using SQL scripting. - Experience with Microsoft Fabric is highly preferred. - A desire to build foundational knowledge in advanced analytic/statistical methods. - Exceptional written and verbal communication skills. - A meticulous and detail-oriented approach. Benefits - Health, dental, and vision insurance coverage for you and your family. - 401(k) retirement plan. - Employee share program. - Life/disability insurance. - Flex spending accounts. - Tuition reimbursement. - Health and wellness program. - Employee assistance program (EAP).

Role Description The Facilitator – Data Analytics plays a critical role in delivering high-quality academic support and learning experiences to students enrolled in the Data Analytics program. The Facilitator is responsible for: - Conducting live instructional sessions - Supporting students through on-demand tutoring and video explanations - Performing quality assurance reviews - Contributing to learner engagement initiatives This role requires strong analytical expertise, structured problem-solving ability, and the capability to explain complex data concepts clearly to beginner and intermediate learners. The Facilitator will collaborate closely with mentors and academic teams to: - Improve instructional delivery quality - Support newly onboarded experts (MNEs) - Contribute to curriculum enhancement aligned with evolving industry expectations Candidates with strong academic backgrounds and research orientation—particularly PhD holders or candidates currently pursuing a PhD in Data Science, Statistics, Mathematics, Computer Science, or related domains—will be given preference. Qualifications - Minimum 3+ years of relevant industry and/or teaching experience in Data Analytics or related domains - Strong hands-on experience with modern analytics workflows and business data interpretation - Preference for candidates holding a PhD or pursuing a PhD in Data Science, Statistics, Mathematics, Computer Science, or related disciplines - Bachelor’s or Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or related domains preferred - Prior experience in EdTech or online instruction is an added advantage - Strong communication skills with the ability to teach US-based learners - Experience conducting sessions using Zoom or similar virtual learning platforms - Strong organizational and time-management skills - Ability to explain complex analytical topics clearly without unnecessary jargon - Strong written and verbal English proficiency - Willingness to work rotational shifts and week-offs based on business requirements - Ability to mentor junior experts and contribute to academic quality improvement initiatives Requirements - Perform all core academic support activities including: - Live Lessons - Weekly Video Tutoring - On-Demand Tutoring Support - QA Review - Maintain a minimum QA score of 80% or above across all assigned activities - Deliver high-quality responses aligned with academic standards during live support interactions - Review mentor session content based on updated internal guidelines - Provide structured feedback on externally sourced academic content across all difficulty levels - Support students through on-demand video explanations - Conduct interactive Q&A sessions to enhance conceptual clarity - Participate in community engagement initiatives to support learner success - Identify learner knowledge gaps and escalate insights to Leads - Train and mentor MNEs during their first 90 days of onboarding - Provide continuous process support to MNEs in their day-to-day academic activities - Collaborate with mentors and academic teams to strengthen delivery quality - Suggest improvements to activity guidelines, internal processes, and learning workflows - Contribute recommendations for curriculum updates and new course additions aligned with market demand - Monitor incoming academic workload and recommend shift redistribution when required - Prepare contribution reports on SME academic effectiveness and live support engagement quality - Curate emerging analytics tools, datasets, and workflows relevant to Data Analytics programs Benefits - Support curriculum alignment with evolving data analytics industry expectations and hiring trends - Assist in identifying opportunities to improve learner experience across analytics learning pathways Company Description Chegg is an equal opportunity employer.

Role Description Wir begleiten Mediziner:innen durch ihre Promotion — von Methodik über Auswertung bis zur fertigen Dissertation. Unsere Klient:innen sind keine Studenten, sondern erwachsene Profis, die liefern müssen. Du bist die Person, die dafür sorgt, dass das passiert. - Übernahme von Projekten von der ersten Methodendiskussion bis zur finalen Abgabe. - Datenanalyse (R, Python, SPSS, MAXQDA — je nach Projektanforderung). - Überarbeitung wissenschaftlicher Texte und Feedback geben. - Methoden geduldig und klar erklären. - Einhalten von Terminen und Treffen von Entscheidungen ohne Anleitung. Qualifications - Hochschulabschluss (Bachelor oder Master) in Statistik, Psychologie (empirisch/quantitativ), Sozialwissenschaft (quant), Wirtschaftsmathematik, BWL mit Empirie-Schwerpunkt, Mathematik, Public Health (quantitativ) oder vergleichbar. - Aktuelle Statistik-Praxis mit R, Python, SPSS oder MAXQDA in den letzten 12 Monaten. - Erfahrung im Erklären von Methoden — als Tutor:in, Nachhilfelehrer:in, Übungsleiter:in oder in einer vergleichbaren Rolle. - Deutsch auf C2-Niveau. Requirements - Strukturierte, methodische Arbeitsweise. - Bodenständigkeit und Erfahrung in körperlichen Tätigkeiten. - Emotionale Stabilität in stressigen Situationen. - Eigenverantwortung und Verbindlichkeit. - Belastbarkeit in intensiven Phasen. - Lust auf Privatwirtschaft, nicht auf Uni-Atmosphäre. - Berufserfahrung von Vorteil, aber kein Muss. Benefits - Ab 4.500 € brutto, reale Steigerung in den ersten 6–12 Monaten nach Ergebnissen. - Aufstieg nach Leistung — Zugehörigkeit zählt nicht. - Echte Verantwortung ab Tag 1 — eigene Projekte und Entscheidungen. - Profi-Umfeld mit modernen Tools und KI-Stack. - Klare Strukturen — max. 2–3 Personen pro Büro. - Entwicklungsmöglichkeiten — methodisch, technisch und unternehmerisch. Company Description Wir sind ein kleines Unternehmen mit hoher Schlagzahl und hoher Effizienz. Wir brauchen sorgfältige, einsatzbereite und belastbare Leute, die methodisch sauber arbeiten, überdurchschnittlich verdienen wollen und in einem wachsenden Unternehmen von Anfang an dabei sein wollen.