Sales Analytics & Forecasting Specialist

ATOMS Careers page

Bogotá ciudad

Presencial

COP 30.000.000 - 60.000.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Picnic is seeking a Sales Operations Associate, Analytics to turn raw data into insights driving how we sell, where we sell, and what we sell next. You will own pipeline intelligence, forecasting accuracy, and territory analytics, influencing revenue figures globally.

The role focuses on data quality, dashboards, and collaboration with go-to-market leads to optimize rep efficiency and account coverage in a fast-growing startup environment.

Formación

  • 3–5 years of experience in Sales Operations, Revenue Operations, Sales Analytics, Business Operations, or similar data-heavy role.
  • Proficient in SQL; able to write complex joins, aggregations, and window functions.

Responsabilidades

  • Build forecasting models for office customer and restaurant partner motions; identify pipeline risks and revenue inflection points.
  • Own source-of-truth dashboards and reporting used by Sales leadership: coverage, velocity, win rates, segment health, rep productivity.
  • Run ICP-fit scoring and account enrichment workflows to surface high-quality target accounts.
  • Partner with leadership on territory design, quota modeling, and capacity planning.
  • Champion data quality in Salesforce; collaborate to build clean data pipelines into the data warehouse (BigQuery or Snowflake).
  • Translate analysis into actionable recommendations and drive adoption with stakeholders.

Conocimientos

SQL
Salesforce
BigQuery
Snowflake
English communication
GTM knowledge

Herramientas

Salesforce
BigQuery
Snowflake
LeanData
Yesware

Descripción del empleo

Picnic is seeking a Sales Operations Associate, Analytics to turn raw data into insights driving how we sell, where we sell, and what we sell next. You will own pipeline intelligence, forecasting accuracy, and territory analytics, influencing revenue figures globally.

The role focuses on data quality, dashboards, and collaboration with go-to-market leads to optimize rep efficiency and account coverage in a fast-growing startup environment.

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