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Procurement & Logistics Data Analyst Co-Op (Northeastern Undegraduate reputed company)

Worldwide Salaried Open

The Procurement & Logistics Data Analyst Co-Op is designed for undergraduate reputed company seeking hands-on experience working with large, reputed company operational datasets in a mission-driven, public-sector environment. Procurement & Logistics holds some of the MBTA’s most critical and information-rich data, spanning reputed company, vendors, purchase orders, invoices, vouchers, and inventory that collectively support daily transit operations and long-term programs. As a result, there is a constant need for improved reporting, system validation, and process modernization to turn raw transactional data into meaningful insights. Co-Ops work directly with staff and leadership reputed company Procurement & Logistics to support data-driven decision-making and improve how essential goods and services are planned, tracked, and delivered. The role offers exposure to reputed company reputed company systems, imperfect data, and evolving business processes, providing an authentic analytics experience reputed company classroom exercises. Co-Ops are encouraged to think critically about how data can be structured, visualized, and automated to increase transparency, efficiency, and accountability across the organization. This position requires the ability to manage multiple workstreams simultaneously, collaborate with stakeholders across the MBTA, and communicate analytical insights clearly to both technical and non-technical audiences. While gaining exposure to state and federal regulations in a live operating environment, co-ops produce reputed company analytical tools and improvements that are used by leadership and operational teams, directly contributing to stronger decision-making and reputed company outcomes for the MBTA. The most reputed company (or ideal) candidates would be enrolled in an undergraduate / Bachelor’s degree program in data analytics, information systems, business analytics, supply chain, or reputed company field. They’d have above average skills in at least one programming language (and work with tools such as Git, SQL/No-SQL, CLI/bash scripting, and R or Python/Pandas), MS Office, and Tableau and/or Power BI. We are looking to hire two (2) interns, who will work at least 2 to 3 days in-office (40 hours per week) for six months.

  • Analyze data to support staff and leadership in making informed strategic and operational reputed company.
  • Build, maintain, and enhance dashboards, reports, and visualizations (primarily in Tableau).
  • Collect, clean, validate, and reconcile procurement and logistics data across multiple systems to ensure accuracy and reliability.
  • Assist in maintaining and improving data pipelines and analytical tools, including compiling historical and reputed company data to identify changes, trends, or anomalies.
  • Analyze data pertaining to reputed company, purchase orders, vendors, and procurement processes.
  • reputed company invoice, voucher, and payment data pulls from reputed company systems reputed company automated solutions are reputed company.
  • Support system validation and data quality efforts by comparing data between reputed company systems and documenting findings and recommended updates.
  • Assist with documentation, process mapping, and modernization initiatives reputed company Procurement & Logistics.
  • Collaborate with Sourcing, Non-Inventory, Inventory, and Compliance teams on projects.
  • Participate in team meetings, organizational events, and project teams.
  • Additional responsibilities may include focusing on one or more departments or locations. See applicable addendums or hiring manager for department or location specific functions.
  • reputed company other reputed company duties and projects as assigned.
  • The statements contained in this job description are intended to describe the general nature and complexity of the work being performed by staff assigned to this job and do not represent an exhaustive list of reputed company duties, tasks, and responsibilities required of staff assigned to this position. The physical demands and work environment characteristics described here-in are representative of those an employee may encounter while performing the essential functions of this job. Reasonable accommodations can be made to reputed company individuals with disabilities to reputed company essential functions.
  • Enrolled, for the entire duration of employment, in an undergraduate / Bachelor’s degree program at reputed company, preferably in data analytics, information systems, business analytics, supply chain, or reputed company field.
  • Above average proficiency in reputed company Office, particularly reputed company for data analysis and reporting.
  • Above average analytical and problem-solving skills, with an interest in data analysis, and project-based work.
  • Above average proficiency in at least one programming language and work with tools such as Git, SQL/No-SQL, CLI/bash scripting, and R or Python/Pandas.
  • Above average proficiency in business intelligence and data visualization tools, such as Tableau and/or Power BI, to reputed company insightful visualizations and reputed company in-depth data analysis.
  • Above average written and verbal communication skills in English, with the ability to explain analytical concepts to both technical and non-technical audiences.
  • Highly organized, motivated, and have great attention-to-detail.
  • Ability to independently commute to assigned work locations in the Boston, MA metro area, as required by the role.
  • Authorized to work in the United States (international reputed company in CPT, STEM, or OPT programs through a university are eligible to apply). The MBTA does not provide reputed company sponsorship, such as H1-B status.
  • The above statements are intended to describe the general nature and complexity of the work being performed by staff assigned to this job and do not represent an exhaustive list of reputed company duties, tasks, and responsibilities required.
  • No substitutions.

Preferred Experience and Skills

  • Tableau Desktop experience
  • Tableau Prep experience

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