Sales Forecast & Inventory Planning Analyst

Daikin Comfort

Seattle (WA)

On-site

USD 66,000 - 83,000

Full time

10 days ago

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Job summary

Daikin Comfort in Seattle, WA is seeking a Sales Planning Analyst to collect, analyze, and report sales data to improve productivity and decision-making. You will develop standardized tools and reports, forecast demand by product class and SKU, and collaborate with cross-functional teams to optimize product flow.

Qualifications include a Bachelor’s degree in a related field, 3+ years in quantitative analysis, advanced Excel, knowledge of relational databases and stored procedures, and strong

Qualifications

  • Bachelor’s degree in statistics, mathematics, logistics, finance, or accounting, or 4 years of sales planning experience in a fast-paced environment.
  • APICS certification or CPA is a plus.
  • 3+ years of experience in quantitative business analysis, forecasting and production planning, finance and cost accounting.

Responsibilities

  • Create aggregate monthly sales forecast by model for assigned product class.
  • Prepare monthly inventory plan by model for assigned product class.
  • Forecast sales demand by product class and SKU.
  • Prepare monthly inventory plan by SKU.
  • Prepare and compile sales/margin reports for the assigned product class or data requests.
  • Maintain distribution warehouse inventory levels within budget.

Skills

Advanced Excel
Analytical thinking
Communication skills
Problem solving
Attention to detail
Teamwork

Education

Bachelor’s Degree in Statistics/Mathematics/Finance/Accounting
APICS certification a plus
CPA a plus

Tools

Relational databases
Stored procedures
Microsoft Access

Job description

Daikin Comfort in Seattle, WA is seeking a Sales Planning Analyst to collect, analyze, and report sales data to improve productivity and decision-making. You will develop standardized tools and reports, forecast demand by product class and SKU, and collaborate with cross-functional teams to optimize product flow.

Qualifications include a Bachelor’s degree in a related field, 3+ years in quantitative analysis, advanced Excel, knowledge of relational databases and stored procedures, and strong

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