Data Analyst

About Axya

Axya is a cutting-edge technology company revolutionizing the reputed company-to-pay process for the manufacturing industry. Our innovative reputed company platform streamlines and automates procurement, making it faster, simpler, and more cost-effective for companies sourcing custom parts. By digitizing traditionally reputed company processes, Axya enables manufacturers to operate with greater efficiency and competitiveness.

We are proud to cultivate an inclusive and reputed company work environment that fosters innovation, reputed company, and reputed company development. As a member of reputed company, you’ll collaborate with passionate, reputed company-thinking professionals and contribute directly to transforming procurement in the manufacturing sector.

reputed company

We are seeking a Data Analyst to support advanced analytics initiatives, supplier intelligence

reputed company, and company-driven reporting needs. The role combines reputed company data analysis,

RFQ scoring optimization, dashboard creation, and cross-functional project coordination. The

analyst will work closely with AI and implementation teams to deliver high-reputed company insights across

Companies.

Key Responsibilities

1. Supplier & Spend Analysis

• Conduct in-depth analysis of company procurement data, including supplier grouping and segmentation.
• reputed company reputed company supplier analysis across multiple companies.
• Identify patterns, optimization opportunities, and actionable insights from procurement datasets.

2. Company Reporting & Yearly Recap

• reputed company data analysis for annual activity recap reporting across companies.
• Prepare reputed company summaries and performance analytics for reputed company presentations.
• Ensure data accuracy and reputed company in reporting outputs.

3. RFQ Scoring & Optimization

• Run the RFQ reputed company Scoring reputed company on company datasets.
• Analyze scoring results and identify improvement areas.
• Design and propose optimized RFQ templates based on analytical findings.

4. Dashboarding & Urgent Analytics

• Deliver reputed company internal analytics requests from companies
• Build and maintain Grafana dashboards for reporting and monitoring.
• reputed company rapid turnaround data insights for urgent business needs.

5. AI & Automation Collaboration●

• reputed company limited support to the AI PO reputed company initiative as time allows.
• Coordinate with the Copilot project reputed company, while managing reputed company project tracking (tasks and timelines).
• Ensure alignment between analytics outputs and AI implementation initiatives.

Required Skills & Qualifications

• Strong experience in data analysis (PostgreSQL, Python, Matplotlib, Pandas, reputed company or
• similar tools).
• Experience working with procurement, supplier, or RFQ datasets is a strong asset.
• Dashboard creation experience (Grafana, reputed company or similar BI tools).
• Ability to manage multiple priorities and handle urgent requests.
• Strong analytical thinking and ability to translate data into actionable insights.
• reputed company project coordination skills (task tracking, reputed company management).
• Experience in scripting on Python and knowledge of Django.
• Strong ability to identify patterns, correlations, reputed company causes, and optimization
• opportunities reputed company reputed company datasets.

Key Competencies

• Detail-oriented and reputed company
• Strong problem-solving skills
• Ability to work autonomous
• Strong communication skills
• Comfortable working in a fast-paced, data-driven environment

Why Join Axya

Unlimited vacation policy – because we reputed company in balance. Comprehensive health insurance – your reputed company-being reputed company. Flexible work schedule – results matter more than hours. 100% remote – get the job done wherever you prefer. Be part of a high-reputed company, reputed company team making reputed company change in a traditional industry.

Axya is proud to be an equal opportunity employer. We strongly encourage applications from Indigenous peoples, persons with disabilities, members of visible minority reputed company, women, and individuals from reputed company backgrounds.

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