Senior Data Analyst, Tableau

Factor Funding Company

. Collect, clean, and transform raw data from various sources into structured datasets for analysis.

Posted 10/31/2026full-timeRemote • ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data analysis, statistical methods, and data visualization to drive strategic decision-making and operational efficiency. Proficient in transforming complex datasets into actionable insights using advanced analytical frameworks and tools.

Highest-signal resume keywords

Data AnalysisTableau ProficiencySQL ProgrammingStatistical AnalysisData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData TransformationStatistical TechniquesData ModelingETL ProcessesDatabase ManagementData WarehousingAPIs ConsumptionPython ProgrammingR Programming

Soft Skills

Problem-SolvingCritical ThinkingCommunication Skills

Tools & Technologies

TableauPower BI

Industry Keywords

Key Performance IndicatorsData-Driven SolutionsCross-Functional CollaborationStrategic InsightsOperational Efficiency

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

Collect, clean, and transform raw data from various sources into structured datasets for analysis.
Perform thorough data analysis using statistical techniques and tools to identify patterns, correlations, and trends.
Develop and implement data models, algorithms, and visualizations to present findings in a clear and concise manner.
Monitor and track key performance indicators (KPIs) to assess the effectiveness of strategies and initiatives.
Identify opportunities for process improvements and develop data-driven solutions.
Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations.
Transform complex, multi-source datasets into strategic insights that drive decision-making for global organizations.
Design analytical frameworks, build models, and shape metrics guiding product direction, operational efficiency, and business growth.
Fuel experimentation, guide strategic priorities, and provide leaders with insights for confident decision-making.

Requirements

What you’ll need

+5 years of experience working in data analytics-related fields.
+4 Years of experience with Tableau.
Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
Solid understanding of statistical concepts and experience applying statistical analysis methods.
Experience consuming datasets from APIs, ETL, databases, or web scraping processes.
Familiarity with data modeling, data warehousing, and database management systems.
Proficient in data visualization techniques using tools like Tableau, Power BI, or similar platforms.
Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.
Excellent verbal and written communication skills in English.

Benefits

Comp & perks

Ownership through equity participation.
Annual company retreat.
Education bonus for continuous learning.
Company-wide winter break.
Paid time off.
Optional in-person events and meetups.
Tailored career roadmaps.
High-performance culture.