Title: Clerk, Part-time Location: San Juan, PR Service Center Pay Type Hourly, Part-Time Job ID 28480 Job Description: Job Description Assist and support Department leadership in all administrative duties to allow the leadership to focus on customer service, management, and productivity issues. Responsibilities - Serve as the department point of contact - Create and submit AFEs and invoices for payment; create check requests and scan expense reports and other miscellaneous documents - Maintain a positive attitude in a highly intense environment - Distribute department directives - Work in a team setting to accomplish department goals - Enter and submit payroll advices - Compile weekly, monthly, and quarterly reports - Direct and/or assist customers, as needed - Other duties and projects, as assigned - Assist with travel arrangements, meeting itineraries, equipment setup, etc. Requirements Education: - High School Diploma / GED Experience: - 2 years experience in an office, clerical, or administrative position, and logistics experience, preferred - Experience working in, and a knowledge of the LTL industry, preferred Computer Skills: - Proficient in Microsoft Office Suite. - Knowledge of ABF Freight's intranet, reports portal, Winja, and various applications Additional Requirements: - Project management skills; excellent organizational skills - Strong analytical and interpersonal skills - Ability to handle duties in a confidential manner - Must have excellent verbal and written communications - Must display sense of urgency, ability to work under pressure, with attention to detail; able to prioritize and multi-task in a fast paced environment Other Details Work Hours: - Generally Monday through Friday, evening, and daytime shifts. Must be willing to work evenings and on an as-needed basis. Travel Requirements: - Minimal (0%-25%) Compensation: - This is a hourly position paid weekly. About Us ABF Freight, an ArcBest company, is one of the nation's largest, most trusted less-than-truckload carriers. With over a century of experience, 240 service centers spanning North America, and an unwavering commitment to quality, safety and customer service, ABF offers best-in-class LTL transportation for companies of all sizes and industries. We're driven for excellence.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Craft and convey clear, impactful and engaging messages that tell a holistic story. - Apply systems thinking to identify underlying problems and/or opportunities. - Validate outcomes with clients, share alternative perspectives, and act on client feedback. - Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. - Deepen and evolve your expertise with a focus on staying relevant. - Initiate open and honest coaching conversations at all levels. - Make difficult decisions and take action to resolve issues hindering team effectiveness. - Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Platform's Data Solution team you are expected to work closely with leaders across product functions to design the analytics roadmap and to support and implement top quality data driven decisions and deliverables. As a Senior Manager you are expected to lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You are expected to develop and implement quality controls and standards to confirm data integrity and quality. Responsibilities - Design the analytics roadmap in collaboration with leaders - Support and implement data-driven decisions - Lead large projects confirming operational excellence - Interact with clients at a strategic level to drive success - Develop and implement quality controls for data integrity - Innovate processes to enhance data quality - Deliver top-quality data solutions - Foster relationships with product function leaders What You Must Have - Bachelor's Degree - At least 6 years of progressive roles managing IT architecture and engineering designs and domains - Bachelor's degree or in lieu of a degree, for each year of college not completed, demonstrate three years of specialized training and/or progressively responsible work experience in technology, in addition to the minimum years of experience required for the role. What Sets You Apart - Bachelor's Degree in Information Technology, Computer Systems Analysis, Management Information Systems, Computer Applications, Computer Engineering, Computer Programming preferred - Building relationships with clients and developing requests for information - Prioritizing and handling multiple tasks - Coaching and collaborating with colleagues - Understanding application of analytical techniques - Selecting necessary analytical techniques - Designing analytics roadmap and supporting data-driven decisions - Implementing quality controls and standards - Programming with Python and Java The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote

Title: Staff Data Analyst- Orlando, FL or Dallas, TX Location: Grand Prairie United States Job Description: Description:Lockheed Martin's Supplier Quality organization relies on data driven insight to ensure every component we receive meets the highest standards of safety, reliability, and performance. As a Supplier Quality Data Analyst, you will collect, cleanse, and analyze supplier quality data (nonconformances, supplier corrective action request (SCARs), source inspection, supplier approvals and other supplier related metrics) and translate those numbers into actionable stories that reduce risk, improve supplier performance, and support continuous improvement initiatives across the enterprise. What You Will Be Doing' Data Acquisition & Governance - Identify, ingest, and validate internal & external supplier quality data sources (Apriso and S/4). - Maintain data quality pipelines; resolve data integrity issues within the systems. - Document data lineage, data dictionary definitions, and change control procedures for all quality related datasets. Analysis & Insight Generation - Perform statistical analysis (control charts, hypothesis testing, regression) to detect trends, root causes, and early warning signals in supplier quality performance. - Build and maintain interactive dashboards (Tableau/Power BI) that surface key quality KPIs such as DPMO, First Pass Yield, Supplier On Time Delivery and Quality Scorecard Corrective Action Effectiveness. - Translate complex analytical findings into concise narratives, executive briefings, and visual story boards for non technical stakeholders (program managers, sourcing, engineering). Metrics & Reporting - Define, track, and report on the Supplier Quality KPI portfolio. - Provide ad hoc data extracts and analysis for supplier audits, risk assessments, and continuous improvement projects. Collaboration & Process Improvement - Partner with Supplier Quality Engineers, Global Supply Chain, Manufacturing, and IT to prioritize analytical requests and align data solutions with business goals. - Lead small scale data project initiatives (e.g., automating NCR trend reporting) and coordinate resources to meet cost and schedule targets. - Coach cross functional teams on data interpretation best practices and promote a data driven culture within the Supplier Quality organization. The candidate will also provide secondary support for Central Supplier Quality (CSQ) Core Operations such as ZQUALs, PO Overrides, QR text key changes and system troubleshooting Why Join Us The ideal candidate is collaborative, analytical, and passionate about fostering a data‑driven culture within Supplier Quality. This role offers high‑impact visibility across the enterprise and the chance to partner with cross‑functional teams on strategic initiatives. We are committed to supporting your work‑life balance and overall well‑being, offering flexible scheduling options. Learn more about Lockheed Martin's comprehensive benefits package here. Further Information About This Opportunity This position is located in Orlando, FL or Dallas, TX. Discover more about Lockheed Martin Missiles and Fire Control. MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. Basic Qualifications: U.S. citizenship is required for access to classified supplier systems) 5+ years of professional data‑analysis experience and a related bachelors degree or equivalent combined education/experience Advanced Excel (Power Query, pivot tables, VBA) Tableau (dashboard creation, data‑source integration) SQL for querying relational databases Power BI or creating interactive data visualization dashboards Familiarity with supplier‑quality frameworks (ISO 9001/AS 9100) Communication - Proven ability to present technical concepts to non‑technical audiences and produce clear documentation (data‑flow diagrams, process maps) Desired Skills: Experience with supplier related Apriso and S/4 tiles Experience with Python-R programming Familiarity with AI machine learning concepts and can demonstrate knowledge on the topic Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: MISSILES AND FIRE CONTROL Relocation Available: No Career Area: QA/Test and Inspection Type: Full-Time Shift: First

Role Description We are seeking a detail-oriented individual to join our team as a data analyst. This position offers the flexibility of remote work while playing a critical role in analysing data to drive insights and support business decisions. - Collect, clean, and analyse large datasets to identify trends and patterns. - Develop and maintain dashboards and reports to visualise key metrics. - Collaborate with cross-functional teams to understand their data needs and provide actionable insights. - Assist in the design and implementation of data structures and systems. - Communicate findings and recommendations to stakeholders in a clear and concise manner. Qualifications - Proven experience as a data analyst or in a similar analytical role. - Strong proficiency in SQL and data visualisation tools (e.g., Tableau, Power BI). - Excellent analytical skills with attention to detail. - Ability to work independently and manage multiple projects simultaneously. - Strong communication skills to effectively convey complex information. Requirements - Experience with statistical analysis and programming languages such as Python or R. - Knowledge of machine learning concepts. - Familiarity with cloud data platforms (e.g., AWS, Google Cloud). Benefits - Salary: 40000 - 150000 USD Per annum