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Omie
Omie
1.001 – 5.000 Angajați
Comerț electronicFintechSaaS
Omie dezvoltă software de gestionare a afacerilor bazat pe cloud pentru companii mici și mijlocii. Platforma sa SaaS reunește managementul financiar, operațiunile de vânzări și controlul stocurilor, ajutând antreprenorii să centralizeze fluxurile de lucru de zi cu zi și să ia decizii pe baza unor informații financiare actualizate. Omie activează la intersecția dintre SaaS, fintech și comerțul electronic, oferind automatizări și integrări concepute pentru a reduce munca manuală pe măsură ce companiile se dezvoltă.
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Senior Revenue Operations Analyst, Partnerships

Senior Revenue Operations Analyst at Omie, a business management software company serving Brazil. Leads metric governance, data modeling, automation, and AI-agent initiatives for Partnerships.

BRBraziliaHibridNormă întreagăSeniorLimbă Obligatorie: portughezăOperațiuni de venituri
BigQueryERPPythonSQL

Descriere

  • Own the Partnerships semantic layer by translating technical data into standardized business metrics and concepts.
  • Maintain the Partnerships KPI catalog to support alignment, consistency, and traceability.
  • Investigate data discrepancies and partner with Process, Data Engineering, and Product teams to resolve root causes.
  • Analyze partner portfolio performance, segmentation, commercial rules, customer journeys, and growth.
  • Convert analysis into practical recommendations and monitor effects on key indicators.
  • Manage analytical priorities and create scalable data assets for the team.
  • Develop natural-language AI agents for querying data and metrics.
  • Create automated insights, KPI variance alerts, performance summaries, and risk or opportunity signals.
  • Set validation standards, quality monitoring practices, and usage limits for AI-generated answers.
  • Assess and prioritize opportunities to embed AI into team processes.
  • Build and maintain Databricks reports and dashboards.
  • Model data in Databricks with SQL and Python.
  • Automate analytical workflows and organize data for future machine learning models.
  • Work cross-functionally with Partnerships, Accounting Success, Sales, Product, Data Engineering, BI, and other teams.
  • Present findings and recommendations clearly, emphasizing practical action.
  • Prepare and deliver presentations for executives and strategic stakeholders.

Cerințe

  • Completed bachelor’s degree.
  • Professional experience in Operations, Sales Operations, Revenue Operations, Customer Success Operations, or a related field.
  • Strong command of SQL.
  • Advanced Excel proficiency.
  • Experience analyzing data and defining and governing KPIs and business metrics.
  • Ability to turn business challenges into analytical approaches and explain analytical trade-offs.
  • Proactive approach with ownership across the full process lifecycle.
  • Strong technical and executive communication abilities.
  • Substantial experience in Revenue Operations, Business Analytics, or Analytics Engineering, ideally within B2B SaaS.
  • Advanced SQL skills plus experience with data modeling, dimensional models, metrics, and semantic layers.
  • Python experience for data analysis and automation.
  • Experience using Databricks or comparable platforms such as Snowflake or BigQuery.
  • Practical experience applying LLMs to data, including text-to-SQL, RAG, and tool-enabled agents, with production deployments or demonstrated stakeholder adoption.
  • Demonstrated ability to define and govern business metrics across multiple stakeholder groups.
  • Strong executive communication and data storytelling skills.
  • Preferred: Experience with Databricks Notebooks, SQL, Jobs, and related platform tools.
  • Preferred: Experience automating data pipelines, reports, or analytical workflows.
  • Experience working with indirect channels, partnerships, or partner ecosystems.
  • Experience with semantic-layer or metric-store tools such as dbt Semantic Layer, metric views, or Cube.
  • Experience with Databricks AI/BI (Genie), Mosaic AI, or agent frameworks.
  • Experience assessing and monitoring the quality of LLM-powered solutions.
  • Experience with feature stores and supporting machine learning models.
  • Knowledge of accounting or SMB ERP markets.

Beneficii

  • Amil Dental dental plan
  • Bradesco Saúde health plan
  • Mental health platform
  • Telemedicine platform
  • Prudential life insurance
  • Pharmacy benefit
  • Gym allowance
  • Birthday day off
  • Flexible meal voucher
  • Home office allowance
  • Childcare assistance
  • Transportation voucher and company shuttle
  • Discount platform through Allya, SwileShop, and Dell
  • Education benefits
  • Travel benefits
  • Pet health plan
  • SESC benefits
  • Profit-sharing program (PPRR)

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