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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data collection, cleaning, and transformation, alongside advanced skills in Python and SQL for statistical modeling and machine learning. Proficient in utilizing Google Cloud Platform and Power BI for data analytics and visualization, with strong communication skills to bridge technical and non-technical stakeholders.
Highest-signal resume keywords
Google Cloud Platform (GCP)Advanced Python SkillsStrong SQL SkillsPower BI Dashboard DevelopmentStatistical Modeling and Machine Learning
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 CollectionData CleaningData TransformationStatistical ModelingMachine Learning AlgorithmsSQL QueryingData Quality AssuranceData AnalysisData VisualizationAnalytical Problem-Solving
Soft Skills
Effective CommunicationAnalytical ThinkingAttention to DetailCollaborationProblem-Solving
Tools & Technologies
Google Cloud PlatformPower BISQLPython
Industry Keywords
Data ScienceCloud AnalyticsData PipelinesBusiness IntelligenceData Insights
Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Collect, clean, and transform data from multiple sources
- Ensure data quality and reliability throughout the analytical process
- Build and implement statistical models and machine learning algorithms to generate insights and forecasts
- Design and maintain Power BI dashboards for business leaders and stakeholders
- Use Google Cloud Platform services to manage and optimize data pipelines and analytical solutions
- Write and optimize SQL queries to extract, analyze, and transform large datasets
- Collaborate with Engineering, Operations, and Business teams
- Align data science solutions with organizational objectives
- Translate business challenges into practical data science approaches
- Deliver actionable recommendations
- Stay current with relevant tools and methodologies in data science, cloud analytics, and data visualization
Requirements
What you’ll need- Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field is desired, or equivalent professional experience
- Proven hands-on experience with Google Cloud Platform (GCP) services for data processing and analytics
- Advanced Python skills for data manipulation, statistical modeling, and machine learning
- Strong SQL skills for querying, data preparation, transformation, and optimization
- Hands-on experience building and maintaining dashboards using Power BI
- Experience developing statistical models and machine learning algorithms
- Experience collecting, cleaning, and transforming data from multiple sources
- Experience ensuring data quality and reliability
- Ability to translate business problems into analytical approaches and actionable recommendations
- Strong analytical thinking, problem-solving skills, and attention to detail
- Effective communication skills for technical and non-technical stakeholders
- Ability to collaborate with multidisciplinary teams
- Native Spanish proficiency
- B2+ English proficiency, written and spoken
Benefits
Comp & perks- Remote work option
- Full-time temporary contract
- Opportunity to work with AI-powered solutions and modern cloud, data, and artificial intelligence technologies
- Collaborative, high-performance culture
- Learning and ownership opportunities
- Work alongside multidisciplinary teams
- Work on scalable products and AI-native transformation initiatives