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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, KPI governance, and the development of AI-driven insights within partnerships. Proficient in SQL, Python, and Databricks for data modeling and automation, with strong communication skills for executive-level presentations.
Highest-signal resume keywords
Advanced SQLData AnalysisPython for Data AutomationDatabricks ExperienceKPI Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingKPI DefinitionAnalytical SolutionsAutomated InsightsMachine Learning Support
Soft Skills
Proactive MindsetTechnical CommunicationData Storytelling
Tools & Technologies
DatabricksSQLExcelLLMsSemantic Layer Tools
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Revenue OperationsB2B SaaSPartnership EcosystemsAccounting MarketCustomer Success Operations
Tech Stack
Tools & technologiesBigQueryERPPythonSQL
About the role
Key responsibilities & impact- Own the Partnerships Semantic Layer, translating technical data into standardized business metrics and concepts.
- Document and maintain the Partnerships KPI catalog, ensuring conceptual alignment and traceability.
- Identify data inconsistencies and work with Process, Data Engineering, and Product teams to resolve them at the source.
- Conduct analyses of partner portfolio performance, segmentation, commercial rules, customer journey, and growth.
- Translate analyses into actionable recommendations and track their impact on key indicators.
- Prioritize the team’s analytical demand and build scalable assets.
- Develop AI agents for querying data and metrics using natural language.
- Build automated insights, KPI deviation alerts, performance summaries, and risk or opportunity signals.
- Define validation criteria, quality monitoring, and usage limits for AI-generated responses.
- Identify and prioritize opportunities to apply AI to the team’s processes.
- Develop and maintain reports and dashboards in Databricks.
- Perform data modeling in Databricks using SQL and Python.
- Automate analytical routines and structure data for future Machine Learning models.
- Collaborate with Partnerships, Accounting Success, Sales, Product, Data Engineering, BI, and other teams.
- Communicate results and recommendations clearly and with a focus on action.
- Prepare and deliver presentations for leadership and strategic stakeholders.
Requirements
What you’ll need- Bachelor’s degree completed.
- Experience in Operations, Sales Operations, Revenue Operations, Customer Success Operations, or related areas.
- Strong SQL knowledge.
- Advanced Excel skills.
- Knowledge and experience in data analysis, KPIs, and metric definition and governance.
- Ability to translate business problems into analytical solutions and recommend analytical trade-offs.
- Proactive mindset and ownership of the end-to-end process.
- Strong technical and executive communication skills.
- Solid experience in Revenue Operations, Business Analytics, or Analytics Engineering, preferably in B2B SaaS companies.
- Advanced SQL and experience with data modeling, including dimensional modeling, metrics, and semantic layers.
- Python for data analysis and automation.
- Experience with Databricks or equivalent platforms such as Snowflake or BigQuery.
- Hands-on experience with LLMs applied to data, such as text-to-SQL, RAG, and tool-enabled agents, with projects in production or real stakeholder adoption.
- Proven ability to define and govern business metrics with multiple stakeholders.
- Strong communication and data storytelling skills for executive audiences.
- Preferred: Experience with the Databricks platform, including Notebooks, SQL, Jobs, and related tools.
- Preferred: Experience automating data pipelines, reports, or analytical routines.
- Experience 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 evaluating and monitoring the quality of LLM-based solutions.
- Experience with feature stores and support for Machine Learning models.
- Knowledge of the accounting or SMB ERP market.
Benefits
Comp & perks- Dental Plan | Amil Dental
- Health Plan | Bradesco Saúde
- Mental Health Platform
- Telemedicine Platform
- Life Insurance | Prudential
- Pharmacy Benefit
- Gym Allowance
- Birthday Day Off
- Flexible Meal Voucher
- Home Office Allowance
- Childcare Assistance
- Transportation Voucher and Company Shuttle
- Discount Platform (Allya, SwileShop, and Dell)
- Education Benefits
- Travel Benefits
- Pet Health Plan
- SESC Benefits
- Profit-Sharing Program (PPRR)