DATA ANALYST/ SCIENTIST

As a Data Analyst at our company, you will play a crucial role in growing, engaging, and deepening the connection with our North American clients. You will be responsible for a variety of tasks aimed at utilizing data to drive business decisions and improve processes. Your main responsibilities will include: - Using various econometric concepts such as regression and covariance to analyze data. - Assisting with new product launches tailored for our North American clients. - Leveraging NLP (Natural Language Processing) techniques to develop algorithms. - Building RPA (Robotic Process Automation) bots to collect data from diverse sources. - Implementing A.I. (Artificial Intelligence) logic to automate decision-making processes based on data analysis. - Applying Machine Learning concepts to enhance the predictability of algorithms. - Utilizing tools like Power BI for in-depth analysis of large datasets. - Acquiring data from primary and secondary sources, as well as maintaining databases and data systems. - Identifying, analyzing, and interpreting trends and patterns within complex datasets. - Cleaning and filtering data to ensure data quality and integrity. - Collaborating with management to prioritize business and information needs. - Identifying opportunities for process improvements within the organization. To excel in this role, you should meet the following requirements: - Hold a Bachelor's degree in statistics or a related field from an accredited university. - Have prior experience in data analysis. - Possess knowledge of databases, software, and analytic tools. - Demonstrate proficiency in APIs, statistical tools, and software used for interpreting trends in large datasets. - Be highly organized and detail-oriented, with a strong grasp of SQL analytical tools. Familiarity with Python and experience in software development for BI software is preferred. - Exhibit skills in records maintenance, statistical data analysis, and report generation. - Communicate effectively, both verbally and in writing. - Utilize statistical computer software efficiently. - Develop relational databases to organize extensive data sets. - Act as a subject matter expert in deriving business insights. - Create business analysis reports and visualizations for senior executives to support informed decision-making within the organization.,