Forecasting & Data Analytics Lead – Flexible Work Schedules

DataJobs; East Hartford (CT); On-site; USD 108,000 - 205,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) match

Flexible work schedules

Paid time off

Parental leave

Employee assistance program

Job summary

DataJobs is seeking a dedicated professional to support F119 supply chain planning, focusing on PBOM inputs and demand forecasting. You will drive forecasting improvements via data analysis, metrics, and inventory health initiatives.

Responsibilities include forecasting tool maintenance, model enhancements, and quarterly deep-dive reviews to monitor fallout, demand trends, and safety stock. Transitioning data to a robust platform with Confluence, Databricks, SQL, and Power BI is key.

Qualifications

• Bachelor’s degree required in SCM/Analytics/STEM.
• Must be a U.S. Citizen due to restricted systems/tools access.
• Experience with demand forecasting tools such as MCA, SPM, or similar.
• Strong analytics and ability to build/use metrics, dashboards, and KPIs.
• Experience with SAP, ODM, Hawkeye, Confluence, Databricks, Power BI, QLIK, and Oracle SQL.

Responsibilities

• Own forecast tool maintenance and PBOM inputs.
• Maintain spare parts forecasting for the F119 Sustainment Contract.
• Partner with cross-functional teams to improve models and troubleshoot forecasting.
• Perform aggregate demand planning analysis and report forecast results and drivers.
• Lead inventory health initiatives and quarterly reviews for engine sections.
• Transition forecasting data to a production-ready platform using Confluence, Databricks, SQL, and Power BI.

Skills

Forecasting

Data analytics

KPIs

Cross-functional collaboration

Education

Bachelor's degree in SCM/Analytics/STEM

Tools

Confluence

Databricks

SQL

Power BI

MCA

SPM

SAP

ODM

Hawkeye

QLIK

Oracle SQL

Job description

DataJobs is seeking a dedicated professional to support F119 supply chain planning, focusing on PBOM inputs and demand forecasting. You will drive forecasting improvements via data analysis, metrics, and inventory health initiatives.

Responsibilities include forecasting tool maintenance, model enhancements, and quarterly deep-dive reviews to monitor fallout, demand trends, and safety stock. Transitioning data to a robust platform with Confluence, Databricks, SQL, and Power BI is key.