902- Data Analyst at GoFasti

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902- Data Analyst at GoFasti. . Location: Remote. We Make Remote Work Remarkable. • TopTalent from LatAm. . Hello! We are . GoFasti, . a Talent-as-a-Service. . GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe. . We need an English-fluent . Data Analyst. , based in Latin America, available to work remotely.. We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.. . Are you the one we are looking for?. . Responsibilities:. . . Develop comprehensive dashboards, reports, and visualizations using leading BI tools.. . including Sigma, Power BI, Tableau, and other enterprise platforms.. . Create self-service analytics solutions that enable stakeholders to access and interpret data independently.. . Maintain and enhance existing reporting infrastructure to meet evolving business requirements.. . Ensure data visualization best practices are followed for clarity, accuracy, and user experience.. . Design, establish, and maintain robust ETL (Extract, Transform, Load) processes to acquire data from multiple sources.. . Automate data pipelines to ensure reliable, timely, and accurate data flow into organizational data stores.. . Monitor and optimize data processes for performance, reliability, and scalability.. . Collaborate with IT and engineering teams to implement data storage solutions and maintain data integrity.. . Conduct in-depth analysis to identify trends, patterns, and opportunities that drive measurable business outcomes.. . Translate complex data findings into clear, actionable recommendations for leadership and cross-functional teams.. . Partner with business stakeholders to understand requirements and deliver analytical solutions that address key business questions.. . Present findings effectively to both technical and non-technical audiences.. . . Requirements:. . . Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related analytical field.. . 3+ years of experience in data analysis, business intelligence, or related role.. . Strong proficiency in SQL for data extraction and manipulation.. . Hands-on experience with ETL tools and processes (e.g., SSIS, Talend, Airflow, or similar).. . Demonstrated expertise in multiple BI platforms, particularly Sigma, Power BI, and Tableau.. . Strong statistical analysis and data modeling skills.. . Excellent communication and presentation abilities.. . . It´s a Plus:. . . Experience with cloud data platforms (AWS, Azure, Google Cloud).. . Knowledge of data warehousing concepts and dimensional modeling.. . Programming experience in Python, R, or similar analytical languages.. . Familiarity with advanced analytics techniques (predictive modeling, machine learning).. . Experience with version control systems (Git) and collaborative development practices.. . Industry-specific domain knowledge relevant to our business.. . . . Compensation:. . . The Salary range offered for this position varies from (USD) $1,700 - $2,300 per month, depending on seniority and skillset.. . This position is for an independent contractor, through a payroll platform.. . The talent will work REMOTELY allocated at our client. . . . Here are the steps for this process:. Application review/approval . >. Screening interview with GoFasti's team . >. We build and send your profile to our client . >. Profile review/approval by client . > I. nterview with the client . > H. iring and onboarding. . .  . . Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process. . . Note for Candidates Approached Directly:. If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting. . Thank you!