Senior Data Analyst

Reposted 16 Days Ago
Easy Apply
Hiring Remotely in Venezuela
Remote
Junior
Artificial Intelligence • Machine Learning • Analytics
The Role
As a Data Analyst, you will collect, analyze, and interpret data to provide insights that drive strategic decisions and improve business performance.
Summary Generated by Built In

Fully remote | Complete engagement job

Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.

At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.

As a Senior Data Analyst, you will transform complex, multi-source datasets into strategic insights that drive decision-making for global organizations. You’ll go beyond reporting to design analytical frameworks, build models, and shape the metrics that guide product direction, operational efficiency, and business growth.

This role is ideal for analysts who excel at connecting data with business context, translating ambiguity into clarity, and partnering with cross-functional stakeholders to influence high-impact outcomes. Your work will fuel experimentation, guide strategic priorities, and ensure leaders have the insights required to move confidently and fast.


Functional Responsibilities:

  • 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.

Qualifications:

  • +5 years of experience working in data analytics-related fields.
  • 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.

Our Benefits:

  • 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.

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.  
 
We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. 
 
In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.  When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.

Top Skills

Power BI
Python
R
SQL
Tableau
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The Company
Palo Alto, CA
166 Employees
Year Founded: 2019

What We Do

Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.

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