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13 дней назад

Sales Operations Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Sales Operations Analyst (SQL/Python/AI): Building sales analytics, experimentation, dashboards, territory-planning models, commission systems, and forecasting tools with an accent on data quality, revenue analytics, and incentive design. Focus on simulating account coverage and lead routing, automating forecast root-cause analysis, and validating complex metrics across application, DWH, and BI layers.

Location: Bulgaria; remote initially, transitioning to a hybrid format after the physical office opens in Sofia

Company

hirify.global operates a digital marketplace that connects manufacturers with buyers and provides access to global manufacturing capacity.

What you will do

  • Define analytical problems, success metrics, hypotheses, and experiments with Sales and Marketing stakeholders.
  • Build and maintain Looker dashboards, validate data quality, and collaborate with the data warehouse team on marts and metrics.
  • Investigate data discrepancies across ERP and application systems, source data, the data warehouse, reporting layers, and BI dashboards.
  • Design account-tiering, coverage, territory, staffing, lead-routing, and go-to-market prioritization models.
  • Model commission plans, quota attainment, payout logic, pipeline KPIs, conversion rates, and representative performance trends.
  • Develop sales forecasting systems and automate root-cause analysis for monthly, quarterly, and annual forecast fluctuations.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, IT, Engineering, or a related field.
  • 3+ years of experience in analytics or data science, ideally in B2B or B2C marketplaces.
  • Strong SQL and Python skills with dashboarding experience in Looker, Tableau, Qlik, or a similar tool.
  • Knowledge of probability, statistics, hypothesis testing, confidence intervals, power analysis, A/B testing, regression, and time-series analysis.
  • Daily practical use of AI coding assistants and LLMs for analysis, automation, and prototyping, with the ability to verify AI output.
  • Fluent English is required; Russian is a plus.

Nice to have

  • Applied machine learning experience, including supervised and unsupervised learning, feature engineering, model evaluation, and cross-validation.
  • Understanding of data warehouse design, data structures, and ETL/ELT.
  • Experience with adjacent areas such as entrepreneurship, business administration, product, UX, machine learning, or psychology.

Culture & Benefits

  • Full-time employment contract with remote work at the beginning and a future hybrid format.
  • Work laptop and corporate English lessons.
  • Structured onboarding covering processes, technology, and systems.
  • Flexible processes, planning, and a collaborative environment.
  • Well-being activities, charity projects, and development opportunities.

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