Job Description

Design, build, and maintain the Data Analytics tools that support SKF VA data needs. By leveraging their skills in data modeling, data integration, data processing, data retrieval, data transformation and performance optimization, and data reporting, this role can help the VA data analytics team to manage and utilize their data more effectively. Primary Responsibilities: Analytical Skills : Exhibit strong problem-solving abilities and attention to detail. Analyze and organize raw data and generate reports using Power BI, and Data Bricks/Azure ML Learning SQL Expertise : Demonstrate proficiency in SQL, including writing complex queries and optimizing SQL performance in Snowflake and dbt. ETL/ELT Processes : Familiarity with Snowflake s ETL/ELT tools and techniques, as well as dbt s transformation methods. Data Modeling : Possess a solid understanding of data modeling concepts and be adept with data modeling tools and techniques. Performance Optimization : Optimize the performance of data loading processes. This includes optimizing SQL queries, creating indexes, tuning data loading processes, and automating manual tasks. Security and Access Management : Manage the security and access controls of the Snowflake environment, including configuring user roles and permissions, managing encryption keys, and monitoring access logs. Analytics Lifecycle Maintenance : Maintain existing/new dashboards and maintain them in periodic intervals and addressing support needs, enhancements, and troubleshooting. Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand and meet data requirements. Training and Support : Provide training and support to team members on the usage of Power BI and Azure data bricks tools. Technical Skills: Expertise in Azure Databricks, Azure ML Learning, and Power BI. Proficient in programming languages including SQL, and Python. Extensive knowledge in Snowflake, dbt. Knowledge of cloud services such as AWS and Azure. Knowledge in Power Automate Candidate Profile: 5 - 8 Years of overall experience with minimum five years of experience as Data analyst. Bachelor s degree in computer science, Information technology or a related field. About SKF