Flooring BU Revenue Operations Analyst

Fa Ewdg Saasfaprod1 · Brazil, Brasil

há 2 dias

Mais vagas de operações no Brasil

É uma vaga híbrida, com base em Brazil, Brasil.

A vaga não divulga o salário.

Publicada por Fa Ewdg Saasfaprod1 e vigente desde 29 de outubro de 2026.

Descrição da vaga

Location: Brasil (100% Remote or Hybrid for Serra Gaúcha Residents or Greater São Paulo area)

Compensation Currency: Brazilian Real (BRL)

Contract: Permanent Full Time (CLT) - 42h/week,

PLEASE ATTACH YOUR CV IN ENGLISH

People with disabilities are welcome at Cyncly!

About us

Cyncly is a leading global provider of specialized visualization, sales, manufacturing and content software and solutions for the retail, design and manufacturing industries.

Cyncly was created to unite Compusoft, 2020 Technologies and their affiliate companies after their merger in 2021. The Company brings together more than 35 years of industry experience to provide a connected platform of configure, price, quote (CPQ) software, online space planning, computer-aided design (CAD) applications, business process management, manufacturing execution systems and enterprise resource planning (ERP). Cyncly serves more than 70,000 customers across 100 countries, with operations in North America, Europe, South America, Asia Pacific, and Africa.

At Cyncly, we are committed to fostering an increasingly diverse and inclusive environment where all voices are valued and celebrated. We prioritize representation from minority groups. We recognize that our unique approach and success stem from the wealth of perspectives brought by our diverse teams.

Role Purpose

The Flooring BU Revenue Operations Analyst supports the Flooring BU Revenue Operations Lead by producing accurate analysis, reliable forecasting inputs and clear commercial insights that help the Business Unit make better decisions and deliver its growth plans.

The role brings together performance data across bookings, pipeline, churn, renewals, price increases, professional services, sales capacity and commercial initiatives. It identifies trends, investigates variances and converts data into concise, decision-ready reporting for the Revenue Operations Lead, Flooring BU leadership and aligned GTM teams.

Working within the BU Revenue Operations operating model, the Analyst applies central Revenue Operations standards, definitions, processes and tooling while incorporating relevant Flooring market, product, customer, channel and delivery context. The role is expected to be analytical, curious and action-oriented, with strong attention to data quality and follow-through.

Key Responsibilities

Commercial performance analysis

Build and maintain an integrated view of Flooring BU performance across aggregate CARR, bookings, pipeline, churn, renewals, price increases, professional services and CARR-to-ARR conversion.

Produce recurring performance reporting and concise commentary that explains key movements, drivers, risks and opportunities.

Analyze performance against budget, forecast and strategic plan, investigate material variances and document root causes.

Connect performance across the commercial lifecycle, including pipeline generation, conversion, renewals, pricing, professional services delivery, sales capacity and operational execution.

Develop product, customer, segment, geography, channel and seller-level analyses to support Flooring BU decisions.

Maintain clear definitions, assumptions and source documentation so analysis is repeatable and trusted.

Forecasting and scenario support

Support the development and maintenance of the Flooring BU operational commercial forecast across bookings, churn, price increases and professional services.

Consolidate actual performance, pipeline, renewal cohorts, professional services outlook and initiative assumptions into standardized forecast inputs.

Perform quality checks on forecast submissions, including completeness, timing, deal progression, conversion assumptions and consistency with available evidence.

Prepare forecast-movement bridges and quantify changes by product, region, motion, initiative or other relevant driver.

Build scenario analyses to show the

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