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Mid-Level Data and Metrics Analyst
Stone & Company. Lead data collection and support the team’s accounting close process .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced SQL proficiency for complex queries and optimizations, alongside expertise in data transformation processes and dashboard creation using BI tools. Capable of conducting thorough analyses to derive actionable insights while ensuring data integrity and supporting audit processes.
Highest-signal resume keywords
Advanced SQLData Transformation Processes (ETL/ELT)Dashboard Creation in BI ToolsFluency in PythonAnalytical Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Complex QueriesQuery OptimizationWindow FunctionsStored ProceduresData Modeling for BIStar SchemaSnowflake SchemaApplied StatisticsData IntegrityAnomaly Detection
Soft Skills
Strong Communication SkillsPresentation Skills
Tools & Technologies
LookerPower BIBigQueryDatabricksGoogle Apps ScriptGcloudGit
Industry Keywords
FintechBankingFinancial MarketsAccountingRegulatory Topics
Tech Stack
Tools & technologiesBigQueryETLPythonSQL
About the role
Key responsibilities & impact- Lead data collection and support the team’s accounting close process
- Create and maintain data pipelines and automations, ensuring quality and observability through monitoring and testing
- Collect data, identify sources, and ensure information integrity
- Conduct intermediate to advanced analyses, combining sources to identify anomalies, answer business questions, and generate insights
- Develop and optimize interactive dashboards and reports, proposing metrics and visualizations
- Identify financial inconsistencies and incorrect flows in databases such as the Ledger, investigate root causes, and coordinate corrective actions
- Support internal and external audits by structuring datasets and evidence
- Collaborate with accounting, product, regulatory, and other teams, proposing analytical solutions
Requirements
What you’ll need- Advanced SQL: complex queries, query optimization, window functions, and stored procedures
- Experience creating and maintaining dashboards and reports in BI tools (Looker, Power BI, or similar)
- Knowledge of data modeling for BI (Star Schema, Snowflake Schema)
- Fluency in at least one programming language, such as Python, with the ability to optimize scripts or pipelines
- Experience with data transformation processes (ETL/ELT) and pipeline quality and observability practices
- Familiarity with using the terminal to interact with tools and languages, such as gcloud
- Bachelor’s degree completed
- At least 3 years of experience in Data and Metrics
- Advanced analytical skills and the ability to translate complex data into actionable insights
- Strong communication skills and the ability to present results clearly to technical and business audiences
- Preferred: experience in fintech, banking, or financial markets; BigQuery, Databricks, or Google Apps Script; applied statistics; Git; accounting and regulatory topics
Benefits
Comp & perks- Base salary
- Variable compensation package* (profit sharing, long-term incentive plan, or commission, depending on role eligibility)
- Health and dental insurance with copayments
- Verde Virtual Hospital: 24/7 telemedicine
- Prescription drug subsidy
- Meal and/or food allowance – Pluxee*
- Childcare assistance for children up to 5 years and 11 months old
- Assistance for employees with children with disabilities
- Life insurance
- Fuel or commuting allowance*
- Home office allowance* for hybrid or remote contracts
- Welcome kit for new parents
- SESC partnership*
- Education benefit – internal self-development platform (Studa and Stone Library)
- Acolhe360º – free emotional support
- Quick massage and on-site medical clinic*
- Optional benefits: Wellhub, TotalPass, Pet Club, Flash, Férias&Co, transportation voucher, Allya, and educational partnerships