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Assistant Supply Chain Data Analyst Jobs (NOW HIRING)

Supply Chain Data Analyst Position Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The ...

Bachelor's degree and 3 years of Supply Chain, Logistics, Data Analytics, or Procurement Experience. * Proven track record of building automated tools or dashboards in a manufacturing environment.

Analyze large datasets to identify trends, risks, bottlenecks, and opportunities for supply chain optimization. * Partner with cross-functional teams to develop data-driven solutions that improve ...

Analyze large datasets to identify trends, risks, bottlenecks, and opportunities for supply chain optimization. * Partner with cross-functional teams to develop data-driven solutions that improve ...

Supply Chain Data Management & Integration: * Ensure supply chain data in systems such as order ... Strong analytical and problem-solving skills to audit, monitor, and interpret supply chain data.

... Assist in the development and documentation of data definitions, calculation methodologies, and ... Analytics, Business, Supply Chain, Statistics, or related field. YEARS OF EXPERIENCE 2-5 years in ...

Collect and analyze supply chain data to identify areas for improvement. * Monitor inventory levels and collaborate with vendors to ensure timely delivery of products. * Assist in developing and ...

Analyze supply chain data to identify trends and opportunities for improvement * Assist in developing and implementing supply chain strategies * Monitor inventory levels and forecast demand to ...

Responsibilities: Assist in analyzing supply chain processes including procurement, logistics, inventory management, and demand planning. Collect, validate, and interpret supply chain data to ...

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Assistant Supply Chain Data Analyst information

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How much do assistant supply chain data analyst jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for assistant supply chain data analyst in the United States is $25.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.37 per hour, depending on experience, location, and employer.

What are some common challenges faced by Assistant Supply Chain Data Analysts when working with large datasets, and how can they be addressed?

Assistant Supply Chain Data Analysts often handle vast amounts of data from multiple sources, which can present challenges such as data inconsistency, missing information, and integration issues. To address these, it’s important to develop strong data cleaning skills, use advanced spreadsheet functions or database tools, and collaborate closely with IT and operations teams to ensure data accuracy. Proactively communicating with stakeholders and seeking guidance from senior analysts can also help resolve data ambiguities and drive better supply chain decisions.

What does an Assistant Supply Chain Data Analyst do?

An Assistant Supply Chain Data Analyst supports the collection, analysis, and interpretation of supply chain data to help optimize processes such as inventory management, procurement, and logistics. They assist senior analysts in preparing reports, identifying trends, and providing insights to improve efficiency and reduce costs. Their responsibilities often include data entry, maintaining databases, and creating visualizations to communicate findings to supply chain managers and other stakeholders.

What are the key skills and qualifications needed to thrive as an Assistant Supply Chain Data Analyst, and why are they important?

To thrive as an Assistant Supply Chain Data Analyst, you need strong analytical skills, a solid understanding of supply chain processes, and a degree in business, logistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, and supply chain management software, along with experience in data visualization platforms like Tableau or Power BI, is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate data-driven decision-making and support the efficient operation of the supply chain.
What cities are hiring for Assistant Supply Chain Data Analyst jobs? Cities with the most Assistant Supply Chain Data Analyst job openings:
What are the most commonly searched types of Supply Chain Data Analyst jobs? The most popular types of Supply Chain Data Analyst jobs are:
What states have the most Assistant Supply Chain Data Analyst jobs? States with the most job openings for Assistant Supply Chain Data Analyst jobs include:
Supply Chain Data Analyst

Supply Chain Data Analyst

Bedrock

Houston, TX • On-site

Full-time

Re-posted 5 days ago


Job description

Role: Supply Chain Data Analyst Position
Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The Supply Chain Data Analyst will play a critical role in enabling data-driven decision-making across the supply chain organization by owning analytics, dashboard development, reporting, and data support initiatives.
This role requires a hands-on analyst who can independently build, maintain, and enhance reporting solutions while partnering closely with Supply Chain leadership, IT, third-party developers, and business stakeholders. The position sits at the intersection of Supply Chain, IT, and business operations and demands strong analytical capability, data visualization skills, and technical fluency in reporting systems and data integration.
Key Responsibilities Data Analysis & Insights
  • Analyze large, complex datasets from multiple internal and external systems to identify trends, risks, and opportunities across the supply chain.
  • Translate data into actionable insights supporting cost reduction, operational efficiency, category management, and strategic sourcing initiatives.
  • Review invoice, purchase order, supplier, catalog, and spend data to improve visibility into purchasing patterns and category performance.
  • Identify top spend areas, supplier concentration, category trends, and other findings requiring leadership attention.
  • Partner with Supply Chain leadership to define KPIs, reporting priorities, and performance frameworks.
Dashboard Development & Visualization
  • Design, develop, and maintain executive-level dashboards and reports using Power BI and other visualization tools as needed.
  • Create clear, intuitive, and visually compelling dashboards for both technical and non-technical audiences.
  • Continuously improve dashboard usability, performance, data quality, and business relevance.
  • Support executive summaries, trend analysis, scorecards, and leadership reporting materials.
Data Integration & Reporting Structure
  • Support data integration across multiple supply chain and operational systems (e.g., invoice, purchasing, and order management platforms).
  • Collaborate with Supply Chain leadership, IT, and third-party developers to support reporting connectivity, including API-based integrations where required.
  • Help define reporting requirements, field mappings, category hierarchies, and logic to ensure accurate and sustainable dashboards.
  • Contribute to scalable reporting processes that improve consistency, visibility, and efficiency across the supply chain function.
Automation & Process Improvement
  • Automate recurring reports and data workflows to reduce manual effort and improve efficiency.
  • Identify opportunities to streamline data collection, validation, categorization, and reporting.
  • Enhance reporting standards to ensure focus on decision-relevant insights.
  • Support continuous improvement of reporting logic, dashboard structure, and data management practices.
Cross-Functional Collaboration
  • Collaborate with IT, Finance, Operations, and Supply Chain teams to align analytics with business needs.
  • Act as a liaison between business users and technical resources to ensure reporting solutions meet operational requirements.
  • Support category managers and supply chain leadership with analysis, presentations, and executive-ready deliverables.
Emerging Tools & Advanced Analytics
  • Leverage automation, AI tools, and modern analytics technologies to improve reporting efficiency and analytical output.
  • Stay current on emerging analytics capabilities and recommend practical applications.
  • Apply AI-enabled tools thoughtfully to accelerate analysis, summarize findings, and enhance reporting workflows.
Required Qualifications
  • Bachelor's degree in Supply Chain, Data Analytics, Business, Finance, Engineering, Computer Science, or a related field.
  • 3-7 years of experience in data analytics, business intelligence, supply chain, procurement, operations, or finance analysis roles.
  • Advanced Excel skills (formulas, PivotTables, lookups, structured reporting, charting).
  • Strong PowerPoint skills with experience creating executive-ready presentations.
  • Strong experience with Power BI or similar dashboarding tools.
  • Experience analyzing large datasets, including spend, supplier, PO, and invoice data.
  • Ability to support reporting across multiple systems and data sources.
  • Strong analytical skills with attention to data accuracy and reporting reliability.
  • Ability to work independently, manage multiple priorities, and operate in a fast-paced environment.
  • Proven ability to partner cross-functionally with both technical and business stakeholders.
Preferred Qualifications
  • Experience supporting procurement, sourcing, logistics, or supply chain teams.
  • Experience with operational or procurement platforms (e.g., invoice or order management systems).
  • Familiarity with APIs and system-based data integrations.
  • Exposure to SQL, Python, or advanced analytics tools (nice to have).
  • Experience building KPI dashboards, scorecards, and leadership-level performance reporting.
  • Familiarity with spend taxonomy, supplier master data, and reporting governance.
  • Comfort using AI tools (e.g., generative AI or analytics copilots) to support reporting and workflow efficiency.
Location This role follows a hybrid work model with in-office collaboration required as needed. The corporate office is located in downtown Houston.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.