Redmond, WA

Salary
$97,600–$188,400from the description
Posted
Jul 16, 2026
Location
Redmond, WA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A finance analytics role focused on commercial pricing and pipeline intelligence, primarily for AI and business solutions products. Day-to-day work involves tracking discounting and waterfall metrics, modeling price-increase impacts, and building pipeline coverage and conversion views that feed into forecasts. The role requires close collaboration with marketing, sales, and finance partners, and suits someone with a strong background in pricing analytics, discounting analysis, or sales pipeline reporting.

Mid level · 4+ years · Seattle-Tacoma-Bellevue, WA · Full-time

Nice to have (1)
pricing analytics

We read this from the posting text with AI. Skim the description below before ruling yourself out.

Why we read it this way (7)

The role is leveled as 'Financial Analysis IC4' internally at Microsoft — an individual-contributor band roughly equivalent to a mid-to-senior analyst; the title carries no public seniority label, so the title states no level.

The minimum qualification accepts a Bachelor's + 4 years OR a Master's + 2 years OR equivalent experience, so no formal degree is hard-required.

Pricing analytics, discounting/waterfall analysis, and sales pipeline reporting appear only under 'Additional or Preferred Qualifications,' so they are marked preferred.

The posting lists a higher pay band for San Francisco Bay Area and New York City metro ($125,000–$206,400/year); the figures extracted are the standard U.S. range.

The role is primarily financial/business analysis (waterfall KPIs, pricing impact modeling, pipeline forecasting) rather than data science or software engineering; 15-2031 is the best fit, with 15-2051 as a plausible runner-up given the Data Science degree pathway and analytics framing.

No specific software tools or platforms (e.g., Excel, Power BI, SQL) are named in the posting, so no tool-level skills could be extracted.

Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): financial analysis, discounting/waterfall analysis, sales pipeline reporting.

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