Data Science Associate

Job Description

As a Data Specialist - Intern at our health technology company, your role will involve understanding the business requirements to develop digital tools using Power BI, Qlik Sense, Azure Data Bricks, and Data Factory. You will also have the opportunity to develop machine learning models and gain knowledge in agile (scrum) project methodologies. Your expertise in SQL will be crucial for this role, and any basic knowledge in reporting tools like Power BI & Qlik will be considered an added advantage. Additionally, having knowledge in prototyping designing and requirement analysis will be beneficial.Key Responsibilities:- Develop digital tools using Power BI, Qlik Sense, Azure Data Bricks, and Data Factory- Build and develop machine learning models- Gain knowledge in agile (scrum) project methodologies- Utilize expert knowledge in SQL- Apply analytical thinking to translate data into informative visuals and reports- Use Python/R Script to create visuals in Power BI/Power Queries (a plus)- Knowledge in data science and GenAI (a plus)Qualifications Required:- Strong expertise in SQL- Basic knowledge in reporting tools like Power BI & Qlik- Knowledge in prototyping designing and requirement analysis- Familiarity with Python/R Script (a plus)- Knowledge in data science and GenAI (a plus)This role may involve working in-person at least 3 days per week in our office-based teams. Onsite roles will require full-time presence in our facilities, while field roles are typically performed outside of our main facilities, such as at customers or suppliers locations.If you are passionate about making a difference in the healthcare industry and helping to improve the lives of others, we encourage you to apply for this internship position. Even if you do not have all the experiences listed, we welcome your application as long as you possess a willingness to learn and grow in this role. As a Data Specialist - Intern at our health technology company, your role will involve understanding the business requirements to develop digital tools using Power BI, Qlik Sense, Azure Data Bricks, and Data Factory. You will also have the opportunity to develop machine learning models and gain knowledge in agile (scrum) project methodologies. Your expertise in SQL will be crucial for this role, and any basic knowledge in reporting tools like Power BI & Qlik will be considered an added advantage. Additionally, having knowledge in prototyping designing and requirement analysis will be beneficial.Key Responsibilities:- Develop digital tools using Power BI, Qlik Sense, Azure Data Bricks, and Data Factory- Build and develop machine learning models- Gain knowledge in agile (scrum) project methodologies- Utilize expert knowledge in SQL- Apply analytical thinking to translate data into informative visuals and reports- Use Python/R Script to create visuals in Power BI/Power Queries (a plus)- Knowledge in data science and GenAI (a plus)Qualifications Required:- Strong expertise in SQL- Basic knowledge in reporting tools like Power BI & Qlik- Knowledge in prototyping designing and requirement analysis- Familiarity with Python/R Script (a plus)- Knowledge in data science and GenAI (a plus)This role may involve working in-person at least 3 days per week in our office-based teams. Onsite roles will require full-time presence in our facilities, while field roles are typically performed outside of our main facilities, such as at customers or suppliers locations.If you are passionate about making a difference in the healthcare industry and helping to improve the lives of others, we encourage you to apply for this internship position. Even if you do not have all the experiences listed, we welcome your application as long as you possess a willingness to learn and grow in this role.

Keyskills :
Power BIQlik senseMachine LearningSQLAgile ScrumReporting toolsRequirement analysisData scienceAzure data bricksData factoryPrototyping designingAnalytical thinkingPhytonR Script