Senior Data Analyst Supply Chain

Topsarge Business Solutions; Huntsville (AL); On-site; USD 90,000 - 140,000; Full time

Job summary

Topsarge Business Solutions in Huntsville, AL seeks an analytics leader to drive descriptive, predictive, and prescriptive insights for supply availability and performance management. You will oversee data mining, forecasting, modeling, machine learning, visualization, and reports for stakeholders.

You will mentor junior analysts, translate analytics into actionable recommendations for operational managers, monitor KPIs, and present findings to senior leadership.

Qualifications

• Bachelor's in Logistics, Business, or related field.
• 7+ years analytics experience.
• 3+ years supply-chain analytics.
• Experience with statistical modeling; machine learning; Tableau or Power BI; data mining; forecasting; data quality; and reproducible analysis.
• Good communications skills.
• SECRET clearance or eligibility.

Responsibilities

• Lead descriptive, predictive, and prescriptive analytics supporting supply availability and decision-making.
• Oversee data mining, cleansing, statistical analysis, forecasting, modeling, ML, visualization, reporting; mentor junior analysts.
• Present findings to stakeholders and translate analytical methods into practical applications for operational managers.

Skills

Analytics

Statistical modeling

Machine learning

Data mining

Forecasting

Data visualization

Communication

Security clearance

Education

Bachelor's degree

Tools

Tableau

Power BI

Job description

Leads descriptive, predictive, and prescriptive analytics supporting supply availability, performance management, and decision-making. Oversees data mining, cleansing, statistical analysis, forecasting, modeling, machine learning, visualization, reporting, and mentoring of junior analysts; presents findings to stakeholders. C ollects, processes, and analyzes data to extract meaningful insights, identify patterns, and support decision-making utilizing tools and technologies such as data mining, Artificial Intelligence (AI), machine learning, and data visualization. Transforms raw data into actionable information. Prepares reports, correspondence, and other written materials making recommendations on organizational matters affecting program support. Integrates multiple disciplines within an operations research team, translating analytical methods into practical applications for operational managers. Implements quality control methods, collects and analyzes data for key enterprise metrics (such as Material Requirements Planning (MRP) adherence, forecast accuracy, supply availability, and excess inventory), and prepares and updates processes to support the use of analytic tools, procedures, and methodologies. Distills both structured and unstructured data into cohesive analytical products for functional business areas, supports pattern analysis to develop recommendations for operational managers, and prepares reports and briefings to communicate courses of action to senior leadership. Data analytics may include descriptive analytics, Diagnostic analytics, Predictive analytics, and P rescriptive analytics. Monitor and analyzes supply, demand, receipt, and issue activities. Monitors customer satisfaction and prepares and submits customer satisfaction reports. Selects and implements appropriate methods such as

• Distributing structured surveys to end users and stakeholders for feedback on service quality, responsiveness, and overall satisfaction
• Conducting interviews to obtain qualitative feedback and identify areas for improvement
• Tracking and analyzing KPIs,
• Monitoring and analyzing customer complaints, service tickets, and issue logs,
• holding regular review meetings to discuss performance and gather feedback,
• conducting after-action reviews following major projects or deliveries to assess satisfaction and identify lessons learned

Requirements

• Bachelor's in Logistics, Business, or related field
• 7+ years analytics
• 3+ years supply-chain analytics
• Experience with statistical modeling; machine learning; Tableau or Power BI; data mining; forecasting; data quality; and reproducible analysis
• Good communications skills
• SECRET clearance or eligibility