We are looking for a talented data analyst who can leverage their expertise to drive insights and recommendations that enable our organization to make data-driven decisions. The ideal candidate will have a strong understanding of data mining, statistical analysis, and data visualization techniques. They will also be able to work independently and as part of a team to develop and implement data-driven solutions to business problems. If you have experience in data analysis, excellent problem-solving skills, and the ability to communicate technical concepts to non-technical stakeholders, we want you to join our team!
What will you do?
Work with structured and unstructured data to extract valuable insights that drive business decisions
Apply statistical methods to conduct hypothesis testing, A/B testing, and other experiments to validate findings
Collaborate with teams across the organization to understand business questions and provide data-driven answers.
Clean, preprocess, and transform data to ensure the accuracy and reliability of analysis results
Create clear and concise data visualizations and reports to communicate findings to stakeholders
Utilize existing machine learning models and statistical techniques to analyze data and uncover meaningful patterns, correlations, and causality – an advantage
Requirements:
2+ years of experience as a Data Analyst with a focus on statistical analysis and pattern recognition.
Proficiency in SQL
Proficiency in programming languages such as Python or similar for data manipulation and analysis tasks – advantage
Familiarity with BI tools, like Looker, QuickSight, Tableau, etc.
Experience working with AWS platform, including S3 files, Athena, Spark/EMR, Glue tables
Experience in working independently and close to the executive team, product managers, researchers, and engineers
Familiarity with statistical analysis tools and libraries for hypothesis testing and correlation analysis – advantage
Ability to work with out-of-the-box machine learning models and apply them to practical data analysis tasks – advantage
Strong problem-solving skills and attention to detail
Excellent communication skills to convey technical findings to non-technical stakeholders
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field – advantage
2+ years of experience as a Data Analyst with a focus on statistical analysis and pattern recognition.
Proficiency in SQL
Proficiency in programming languages such as Python or similar for data manipulation and analysis tasks – advantage
Familiarity with BI tools, like Looker, QuickSight, Tableau, etc.
Experience working with AWS platform, including S3 files, Athena, Spark/EMR, Glue tables
Experience in working independently and close to the executive team, product managers, researchers, and engineers
Familiarity with statistical analysis tools and libraries for hypothesis testing and correlation analysis – advantage
Ability to work with out-of-the-box machine learning models and apply them to practical data analysis tasks – advantage
Strong problem-solving skills and attention to detail
Excellent communication skills to convey technical findings to non-technical stakeholders
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field – advantage
This position is open to all candidates.
