DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces. Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners. Opportunity: DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields. - Courses meet once or twice a week for eight weeks. - Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. - Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements. - Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. - All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. - DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support. Responsibilities: - Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. - Organizes, prepares, and regularly revises and updates all course materials. - Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. - Models effective oral and written communications that engage the students, provide clarity, and improve student learning. - Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. - Ensures that the content and level of material included on exams correspond to the course terminal objectives. - Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students. - Completes other duties as assigned. Required Qualifications: To perform this role successfully, an individual must be able to carry out each essential duty effectively. The requirements listed below represent the knowledge, skills, and abilities needed to teach and support learners in data analytics and data-driven technologies. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. - A doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline. - Applicants must upload unofficial graduate-level transcripts with their application. - Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation. - Three to five years of applied professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support. - Demonstrated experience with data analysis tools and programming environments, which may include statistical software, data visualization platforms, database technologies, and programming languages used for analytics. - Industry-recognized certifications or professional credentials relevant to data analytics, data science, business intelligence, or statistical analysis. - Strong subject matter expertise in data analytics concepts and methodologies, combined with effective communication skills and the ability to translate complex quantitative concepts for diverse learners. - Knowledge of ethical and responsible data practices, including data governance, privacy considerations, bias awareness, and responsible use of data in decision-making. - Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply. - Faculty must demonstrate excellent motivational and instructional skills in a non-traditional learning environment. - The candidate must work collaboratively and effectively facilitate the efforts of groups with varied backgrounds, experiences, and perspectives. Preferred Qualifications - Industry certifications in data analytics, data science, or business intelligence platforms (e.g., Python-based analytics certifications, data analytics practitioner credentials, or comparable industry-recognized certifications). - Experience with data management and analytics ecosystems, including databases, data warehousing, data pipelines, and large-scale data processing environments. - Experience applying analytics frameworks and methodologies, such as predictive analytics, exploratory data analysis, statistical modeling, and data visualization. - Experience with data governance and data lifecycle management, including data quality, compliance, and responsible data stewardship. - Experience with programmatic or regional accreditation processes, including outcomes assessment, curriculum alignment, and continuous improvement. - Active membership or engagement in professional analytics, statistics, or data science organizations to maintain current industry knowledge. - Experience integrating data analytics laboratories, real-world datasets, and analytics platforms into post-secondary instruction to support applied learning. - Two to five years of teaching experience at the post-secondary level, preferably in data analytics, statistics, business intelligence, database management, or related disciplines. Pay: Visiting Professor pay is based on level, the number of credit hours taught per 8-week session, and location. In addition, DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - Pay may vary in most states from $1500-$2700 per 8-week session - Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour For Visiting Professor roles, we accept applications on an ongoing basis. DeVry University offers benefit options for Visiting Professors, including: - 401(k) and Roth Plan - Paid Tuition Program - Remote and Flex Work Options - Paid Sick Time - Technology Stipend Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits. We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

Conduct deep-dive data analysis and execute data cleaning using SQL and Python. Manage client relationships by ensuring data accuracy and deliver clear insights, while driving process improvements through automation and collaboration with...

Lumen is the trusted network for AI. We’re transforming how businesses connect, secure, and scale in an AI-driven world. By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what’s next. At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We’re looking for top-tier talent ready to take on the challenge. Join us in building the future. The Role As a Senior Financial Analyst – Commercial Excellence & Strategy at Lumen, you will play a critical role in shaping the financial and strategic direction of our Commercial organization. This role partners closely with the AGT Strategy, Commercial Excellence, and cross‑functional business leaders to deliver insights that inform key strategic decisions impacting the future of our business. This position has a total Commercial business viewpoint, supporting enterprise‑wide initiatives, strategic programs, and special projects. The role focuses on strategic analysis, business cases, KPI development and performance tracking, and executive‑level ad hoc reporting, enabling data‑driven decision‑making across AGT and Commercial leadership. Why This Role Matters This role is central to enabling Commercial Excellence and strategic execution at Lumen. The insights and analysis delivered by this position directly inform leadership decisions that shape AGT strategy, investment priorities, and future growth. Work Location This is a work from home position within the U.S. The Main Responsibilities - Provide strategic financial and analytical support to Commercial Excellence and AGT Strategy teams, enabling insight‑driven decision making. - Develop and evaluate business cases, financial models, and scenario analyses to support strategic initiatives and investment decisions. - Design, develop, and maintain KPIs, scorecards, and performance tracking frameworks to measure Commercial effectiveness and strategic progress. - Analyze Commercial performance trends across revenue, margin, productivity, and execution metrics, translating results into clear, actionable insights. - Partner cross‑functionally with Strategy, Sales, Product, Operations, and Finance to align financial insights with business priorities. - Lead and support special projects related to Commercial strategy, operational excellence, and transformation initiatives. - Produce executive‑ready ad hoc analyses and reporting for senior leadership, including synthesis of complex data into concise recommendations. - Support budgeting, forecasting, and long‑range planning activities using key Commercial drivers and strategic assumptions. - Identify risks and opportunities across the Commercial business and proactively recommend actions. - Continuously improve analytical tools, reporting, and processes to increase insight, efficiency, and business impact. - Work on complex, ambiguous issues requiring judgment, creativity, and input from multiple stakeholders. - Act as a thought partner to leadership, anticipating questions and providing forward‑looking analysis. - Step in to support leadership discussions, presentations, and working sessions when needed. What We Look For in a Candidate - Bachelor’s degree or higher in Finance, Business, Economics, or a related field, or equivalent experience. - 5+ years of experience in financial analysis, FP&A, strategy, or a related analytical role. - Strong financial modeling, analytical, and problem‑solving skills. - Demonstrated ability to support strategic, cross‑functional initiatives beyond traditional FP&A activities. - Advanced Excel skills; ability to work across multiple data sources and systems. - Ability to synthesize complex information and communicate insights clearly and persuasively to senior audiences. - Strong organizational skills with the ability to manage multiple priorities and deliver under tight timelines. - Comfort working in a fast‑paced, evolving environment with ambiguity. Preferred Qualifications - Experience supporting Commercial Excellence, Strategy, Sales, or Go‑to‑Market organizations. - Prior experience with KPI development, performance management, or executive reporting. - Knowledge of SAP and enterprise financial systems. - Experience in regulatory, accounting, or enterprise‑scale financial environments. - Strong collaboration skills and ability to influence without authority. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges: $67,703 - $90,270 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY. $71,088 - $94,784 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI. $74,474 - $99,297 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA. Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: - Benefits - Bonus Structure #LI-Remote Requisition #: 341785 Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. Privacy Notice Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data. To review Lumen’s Privacy Notice, please visit: https://jobs.lumen.com/global/en/privacy-notice Disclaimer The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Junior Analytics Specialist Department: Analytics Employment Type: Full Time Location: Remote Philippines (Manila) Compensation: $800 - $1,200 / month Description You are a detective investigating client web analytics data to shape our understanding of what is happening on their website. This is a great opportunity for someone early in their analytics career who’s eager to learn, dependable, and comfortable working with data and tools across the funnel. Key Responsibilities - Data Analysis. Study client website data and create reports using Google Sheets, Analytics software (e.g., Google Analytics 4), CRM Tools (Hubspot, Marketo, Salesforce, etc.), etc. - Data Issue Analysis. Detect data anomalies and find root causes. - Requirements Gathering. Communicate with project managers to adjust key reports tailored to specific client needs - Organization. Maintain a database of reports to ensure up-to-date documentation - Opportunity Spotting. Use data analysis to find the best opportunities on the client page for A/B testing Skills, Knowledge and Expertise - Google Sheets. Strong working knowledge. - English Communication. Fluent in spoken and written English. - Learning. Quick learner who can adapt to a wide range of client tools. - Data Literacy. Strong understanding of how data works and high attention to detail. Nice to Have - Analytics & CRM Tools. Familiarity with GA4 and CRM tools such as HubSpot, Marketo, or Salesforce is a plus. - Experience. Around 1 year of experience in analytics is a plus. What You'll Get - Clear promotion opportunities. We invest heavily in training and promote almost exclusively from within. Most leaders at Spiralyze started in entry-level roles. - Indefinite contract: This role is offered as a permanent position, giving you the opportunity to grow and develop over the long term. - Tech reimbursement. Need a better computer, monitor, or setup? Want training on Figma or GA4? We’ll help. - In-demand skills. You’ll learn Conversion Rate Optimization from the most experienced experimentation teams in the world. - Time to recharge. 20 days of paid vacation plus holidays. - Flexible working hours. Must overlap 8am - 12pm EST (New York Time); the rest of the hours are flexible.