You will be responsible for overseeing the data analytics team and serving as the technical head for a global workforce comprising a multi-country team. Your main objective will be to ensure the timely, robust, and accurate research, conception, delivery, and ongoing monitoring of analytical products and frameworks. Effective communication with key stakeholders such as actuarial, statistical, technology, and data teams is crucial to ensure successful delivery. **Key Responsibilities:**
Must possess exceptional data sense and previous experience in healthcare data analytics
Strong expertise in analytics products
Previous experience with cloud environments (Azure, AWS, etc.) and large datasets
Proficiency in writing and reviewing code in SQL and PySpark with extreme attention to detail and quality
Experience in managing teams of 5 or more individuals
Prior experience working with clients
**Core Responsibilities:**
Translate client's guidance on roadmap and key priorities into sprints, user stories, and requirements wikis
Ensure high-quality execution of product by gathering requirements, scoping tasks for sprints, and maintaining high standards including defining acceptance criteria, testing plans, and code review
Review the team's work, conduct full code reviews for data analysts, and perform business/requirements reviews for non-DA team members
Own the team Agile ceremonies including running them skillfully and focusing on continuous team improvement
Communicate with the client as part of IPP implementation and execute distinct work streams within larger analytics engagements
Deliver insights based on complex data analysis within various verticals such as insurance, healthcare, banking, etc. - Utilize hands-on experience in data manipulation skills in SQL and Python, conduct exploratory data analysis, and perform feature engineering
Demonstrate a basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics)
Familiarity with/exposure to cloud engineering is preferred
Ability to effectively communicate technical information to non-technical stakeholders and vice versa
Strong verbal and written communication skills
**Qualifications Required:**
Practical experience in SQL, Python, Power BI, and advanced Excel in the context of data exploration and manipulation
Knowledge of data science and solution architecture on the cloud, particularly Azure cloud (preferred)
Understanding of cloud technologies such as Databricks, Azure Studio, Data Factory, etc. (preferred)
Proficiency in data science related to patient health management, provider profiling, healthcare reporting, and other healthcare technologies is beneficial
Understanding of data science in fraud, operations, lifestyle, behavioral environment is beneficial
(Note: The additional details of the company were not provided in the job description.) You will be responsible for overseeing the data analytics team and serving as the technical head for a global workforce comprising a multi-country team. Your main objective will be to ensure the timely, robust, and accurate research, conception, delivery, and ongoing monitoring of analytical products and frameworks. Effective communication with key stakeholders such as actuarial, statistical, technology, and data teams is crucial to ensure successful delivery. **Key Responsibilities:**
Must possess exceptional data sense and previous experience in healthcare data analytics
Strong expertise in analytics products
Previous experience with cloud environments (Azure, AWS, etc.) and large datasets
Proficiency in writing and reviewing code in SQL and PySpark with extreme attention to detail and quality
Experience in managing teams of 5 or more individuals
Prior experience working with clients
**Core Responsibilities:**
Translate client's guidance on roadmap and key priorities into sprints, user stories, and requirements wikis
Ensure high-quality execution of product by gathering requirements, scoping tasks for sprints, and maintaining high standards including defining acceptance criteria, testing plans, and code review
Review the team's work, conduct full code reviews for data analysts, and perform business/requirements reviews for non-DA team members
Own the team Agile ceremonies including running them skillfully and focusing on continuous team improvement
Communicate with the client as part of IPP implementation and execute distinct work streams within larger analytics engagements
Deliver insights based on complex data analysis within various verticals such as insurance, healthcare, banking, etc. - Utilize hands-on experience in data manipulation skills in SQL and Python, conduct exploratory data analysis, and perform feature engineering
Demonstrate a basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics