Browse
¡¡¡
Log in / Register

🚗 Office Manager – Rental Car Company (Lansdowne, PA) 🚗 (lansdown)

$1,000/biweek

41 Sunshine Rd, Upper Darby Township, PA 19082, USA

Favourites
Share

Description

🚗 Office Manager – Rental Car Company (Lansdowne, PA) 🚗 Full-Time | Monday – Saturday | 9AM – 5PM | $1,000/week We’re a fast-growing rental car business looking for a skilled, dependable Office Manager with experience in the car industry — especially rental cars. You’ll be the backbone of the operation, managing the front office, customers, payments, and systems daily. Responsibilities: Manage and update the CRM system with customer and vehicle information Handle all phone calls — schedule rentals, answer questions, assist customers Check customers in and out for rentals and returns Process payments, deposits, and tickets accurately Maintain organized rental contracts, fleet files, and reports Communicate daily with mechanics, drivers, and management to keep the flow smooth Requirements: Experience in the rental car business (preferred) or automotive office management Excellent communication and multitasking skills Strong organizational and problem-solving ability Dependable, punctual, and professional Comfortable using CRM systems, Google Drive, and spreadsheets Pay & Schedule: 💰 $1,000 per week 🕘 Monday – Saturday | 9AM – 5PM 📍 Lansdowne, PA To Apply: Text resume to 215-554-1312 for an interview between 9AM – 9PM Include your name, experience in the car business, and previous positions held

Source:  craigslist View original post

Location
41 Sunshine Rd, Upper Darby Township, PA 19082, USA
Show map

craigslist

You may also like

Workable
Sr. Manager/Associate Director - Analytics Consulting - Consumer Credit Risk
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you. Responsibilities Develops Consumer Credit Review plan using a risk-based approach and executes the Consumer Credit Reviews across all consumer lending products covering credit cards, personal loans, and home equity loans), including performing a risk assessment on the overall portfolio. Collaborates with credit strategy teams to mitigate any identified credit risk concerns. Reports finding through the appropriate, established governance processes. Interacts with business partners, senior management, governance committees, and regulators to present (both orally and written) Consumer Credit Review assessment results and analytic findings in a clear, complete, and concise manner. Develops, manages, and maintains reporting and oversight of consumer credit risk appetite, tolerance, and thresholds. This includes the awareness of consumer credit strategies and the implications of changes in strategy to the profitability of the enterprise. Develops and maintains credit-risk oversight processes, policies, and procedures in accordance with the overall Corporate Risk Management framework and system. Implements and maintains independent credit risk portfolio reporting across all consumer lending products. Requirements  8+ years of experience in risk/spend forecasting with policy experience in credit card, or related financial services industry. Experience in credit review, credit risk management, or internal audit credit risk coverage function at a large financial institution. Consumer Cards End-to-End Domain knowledge, across acquisition, customer management, collections, fraud etc. Risk, Spend and Balance forecasting using policy driver-based approaches. Strong SQL, Python (using Databricks notebooks) experience. Good Excel (graphs, small macros, pivot tables and charts) experience. Good experience with PowerPoint - converting the data to a story and making strategy/portfolio health presentations to leaders. Good understanding of credit acquisition, customer management policy. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
New York, NY, USA
Negotiable Salary
Craigslist
Entry Level Sales Manager (Midtown)
We’re looking for ambitious, people-oriented individuals to join our leadership-track Sales Manager program. This is an entry-level position designed for candidates who want to learn the fundamentals of sales, customer relations, and team leadership while developing into future management roles. Key Responsibilities:     •    Lead daily sales presentations and client consultations in a face-to-face or B2B setting     •    Train, coach, and motivate team members to achieve performance goals     •    Learn and execute proven systems for marketing, territory management, and team development     •    Build and maintain strong client relationships through integrity and results     •    Participate in leadership workshops, goal-setting sessions, and performance reviews What We Offer:     •    Comprehensive training and mentorship from experienced leaders     •    Clear advancement structure based on merit, not seniority     •    Competitive compensation with bonuses and incentives     •    A fun, high-energy team environment focused on growth and camaraderie     •    Hands-on experience with national clients and real business development projects Ideal Candidate:     •    Strong communication and leadership skills     •    Student mentality with a drive to learn and grow     •    Positive attitude and team-first mindset     •    Self-motivated and goal-oriented     •    Bachelor’s degree preferred but not required If you’re looking for a career where you can grow from entry-level to management, develop leadership skills, and make an impact every day — this is the opportunity for
398 W 44th St, New York, NY 10036, USA
$900-1,200/month
Workable
Scientific Business Analyst, Medicinal Chemistry
Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.  TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom We are committed to accelerating discovery and development by engineering liquid, contextualized, FAIR data, and enabling AI-native scientific outcomes. Our Scientific Business Analysts (Sciborgs) are a bridge between scientists and data engineers, translating complex R&D requirements into actionable data and AI solutions that transform how science is done. As part of our high-profile partnership with a top pharma company, we are building a team of chemistry-focused Sciborgs who will bring domain expertise in medicinal chemistry, synthetic chemistry, and DMPK/metabolite ID to the forefront of scientific data transformation In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.  It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.  Who You Are  We are seeking a Scientific Business Analyst – Medicinal Chemistry with a strong foundation in synthetic or medicinal chemistry and experience working with data platforms, cheminformatics tools, and workflow automation. This role is ideal for someone who has:  Been at the bench or in a med chem team, has curated or managed chemical/assay data, and is excited to translate scientific requirements into technical specifications for data architects, engineers, and AI teams. You will work directly with our partner’s scientists and TetraScience’s engineering teams to harmonize, contextualize, and enable advanced analytics on critical chemistry and DMPK datasets. What You'll Do  Serve as the bridge between medicinal chemists/DMPK scientists and technical teams, gathering requirements and translating them into clear specifications for data engineers and AI solution developers. Partner with our partner’s med chem teams on DMTA (design-make-test-analyze) cycles, ensuring scientific data flows seamlessly between compound design, assay results, and decision-making workflows. Map and harmonize scientific data across key platforms: LiveDesign (Schrödinger) for compound design and tracking.D360 for SAR analysis, data visualization, and activity cliffs. KNIME for no-code workflow automation and plate map generation. Internal databases (grdb) and other informatics tools. Identify and resolve data comparability challenges across sites/vendors (e.g., assay reproducibility, sequential vs. parallel execution). Collaborate with upstream (biology/target validation) and downstream (DMPK, safety, analytical) functions to ensure chemistry data is contextualized for cross-domain integration. Support adoption of new tools and platforms (e.g., CDD Vault, StarDrop, Genedata, Pipeline Pilot, Spotfire) by defining requirements, building prototypes, and driving user feedback loops. Develop user stories, workflows, and data models that guide engineering teams in building scalable solutions for chemistry data and AI/ML applications. What You Bring PhD or MS in Organic Chemistry, Medicinal Chemistry, or related field with 3+ years of post-graduate industry experience (med chem, DMPK, or analytical). Hands-on experience in synthetic chemistry or medicinal chemistry with exposure to DMTA workflows and data-driven decision-making. Familiarity with cheminformatics and scientific data tools such as LiveDesign, D360, KNIME, Pipeline Pilot, Spotfire, CDD Vault, StarDrop, Genedata. Ability to understand and communicate both scientific and technical concepts, including assay design, SAR analysis, plate-based workflows, and LC-MS data. Strong skills in data curation, pipeline development, and workflow automation; exposure to SQL or Python preferred. Excellent problem-solving and communication skills; able to partner with both bench scientists and data engineers. Passion for enabling AI/ML solutions in drug discovery and development. Experience performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Ability to  engage diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities  Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes. Why Tetrascience Join a mission-driven company transforming the scientific data ecosystem. Be part of a high-impact partnership with a top 25 pharma, helping to shape how modern medicinal chemistry integrates with AI. Collaborate with world-class scientists, engineers, and AI experts. Competitive compensation, comprehensive benefits, and career growth opportunities. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote working opportunities, when not at customer sites Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching
Cambridge, MA, USA
Negotiable Salary
Workable
Scientific Business Analyst, DMPK / Metabolite ID
Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.  TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.  It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.  Who You Are  You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in DMPK and Metabolite ID, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences.  You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications.  This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Will Do  Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors. Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases. Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications. Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases. Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions. AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings. Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption. Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes. Requirements What You Have Done PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in DMPK / Metabolite ID including ADME (Absorption, Distribution, Metabolism, Excretion), PK/PD Modeling (NONMEM, Phoenix WinNonlin), In vitro / In vivo Studies (microsomes, hepatocytes, animal models), Bioanalytical LC-MS/MS, and CYP450 Enzyme Profiling & Metabolite Identification Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support DMPK and Metabolite ID efforts. Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities  Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote working opportunities, when not at customer sites Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching
Cambridge, MA, USA
Negotiable Salary
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
Š 2025 Servanan International Pte. Ltd.