BI Analyst

Ryz Labs

. Analyze business and operational data to answer complex questions and support decision-making .

Posted 10/9/2026full-timeRemote • ArgentinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, statistical concepts, and the development of analytical frameworks to support business decision-making. Proficient in SQL and Python for data manipulation and visualization, with a strong focus on data quality and governance.

Highest-signal resume keywords

SQLPythonData AnalysisStatistical AnalysisData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical AnalysisData VisualizationAnalytical FrameworksMetrics DevelopmentData Quality AssuranceReporting AutomationTrend IdentificationComplex Dataset ManagementAnalytical Methodologies

Soft Skills

Attention to DetailOrganizational SkillsPrioritization SkillsWritten CommunicationVerbal Communication

Certifications & Qualifications

Bachelor's Degree in Data AnalyticsMaster's Degree in Data AnalyticsBachelor's Degree in StatisticsMaster's Degree in StatisticsBachelor's Degree in MathematicsMaster's Degree in MathematicsBachelor's Degree in EconomicsMaster's Degree in EconomicsBachelor's Degree in Computer ScienceMaster's Degree in Computer Science

Industry Keywords

Business IntelligenceData GovernanceHigh-Volume TransactionsAnalytical ProjectsData Quality Issues

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze business and operational data to answer complex questions and support decision-making
Develop reliable metrics and analytical frameworks with clearly defined, traceable numbers supported by accurate source data
Partner with business stakeholders to identify trends, uncover opportunities, and translate findings into practical recommendations
Build and maintain recurring analyses, dashboards, and reporting processes
Improve efficiency and reduce manual work
Identify inconsistencies, data quality issues, and misleading results
Establish validation practices to prevent data issues from recurring
Communicate analytical findings to technical and non-technical audiences, including senior stakeholders
Manage multiple analytical projects independently and prioritize work based on business impact and urgency
Contribute to data governance by documenting metrics, sources, assumptions, and analytical methodologies

Requirements

What you’ll need

Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Economics or Computer Science
4+ years of professional experience in analytics, including 3+ years in a Data Analyst, Business Analyst, BI Analyst, or similar role
Strong hands-on experience with SQL and Python for data analysis, statistical analysis, and visualization
Experience working with large and complex datasets in a high-volume, transactional environment
Strong understanding of statistical concepts beyond basic reporting and aggregation
Demonstrated experience using data to influence or change business decisions
Strong attention to detail and structured approach to validating analytical results
Experience automating recurring reporting or analytical workflows and measuring efficiency gains
Excellent written and verbal communication skills
Strong organizational and prioritization skills
Ability to work independently in a fast-paced environment

Benefits

Comp & perks

Remote and distributed team environment
Opportunities for learning, growth, and professional development
Challenging projects
Autonomy and ownership of development
Collaboration with experienced professionals and specialists