Data Analyst (health)

Who we are: Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We are currently looking for an exceptionally talented Data Analyst to join our team. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large sets of data to uncover valuable insights that will drive strategic decisions and improve business performance. #LI-Remote

What you will be doing:

• 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.

What you must bring:

• Strong proficiency in data analysis tools, databases, and programming languages such as SQL, Excel, and PrestoSQL.
• Experience in the Health industry is a must.
• Familiarity with clinical coding systems such as ICD9/10 diagnosis codes, ICD9/10 procedure codes, CPT codes, revenue codes, provider NPI codes, and NDC Rx codes.
• 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.

Nice to have:

• Bachelor's degree in a relevant field such as Mathematics, Statistics, Computer Science, or a related discipline.
• Experience handling Excel Plugins and integrations with languages such as Python or R.
• Experience with machine learning techniques and predictive modeling.