What are the responsibilities and job description for the Data Analyst position at Lorven Technologies?
Data Analyst
Notes:
Onsite Interview Required
• 6 years of experience in Data Analysis
• Strong proficiency in Tableau
• Extensive experience in building dashboards using Tableau
• Strong experience in SQL
• Knowledge of Azure platform and services (Azure Plus)
• Experience as an Analytics Engineer
• Dataset management and data pipeline development
• Demonstrates solid expertise in data visualization and dashboard creation
• Skilled in data extraction, transformation, and loading (ETL) processes
• Familiar with cloud-based data solutions, particularly Azure
• Capable of handling end-to-end analytics projects from data sourcing to visualization
Job Details:
This role requires deep experience in transforming complex datasets into intuitive, actionable insights for external customers. The ideal candidate will have strong expertise in Tableau, including relationships, LOD expressions, and advanced calculations, as well as a solid understanding of SQL and data modeling best practices. This position requires a detail oriented professional with strong analytical abilities, excellent communication skills, and a passion for delivering high quality, accurate dashboards that help customers make informed decisions
Responsibilities
• Design, develop, and maintain interactive Tableau dashboards for the TracKing customer-facing platform.
• Simplify complex datasets into clear, intuitive visualizations and analytical insights.
• Partner with stakeholders to understand reporting needs and translate them into effective dashboard solutions.
• Use advanced Tableau capabilities such as relationships, LOD expressions, parameter controls, and complex calculations.
• Write and optimize SQL queries to support reporting and analysis needs.
• Apply data modeling best practices to ensure scalable, reliable analytics.
• Validate data accuracy and ensure dashboards reflect consistent, high quality information.
• Document data sources, calculations, and dashboard logic for transparency and maintainability.
• Troubleshoot issues with dashboards, data pipelines, and data quality.
• Collaborate closely with cross-functional teams, including data engineering, product management, and customer support.
Technical Skills
• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
• Minimum of 6 years of experience in data analysis or business intelligence roles.
• Strong proficiency with Tableau, including relationships, LOD functions, and advanced visualization techniques.
• Solid understanding of SQL and experience writing complex queries.
• Experience with data modeling concepts and best practices.
• Familiarity with ETL concepts, data integration tools, and operational data sources.
• Experience working with large datasets and optimizing queries for performance.
• Knowledge of cloud platforms (Azure, AWS, or GCP) is a plus.
• Experience with version control systems such as Git is beneficial.
Soft Skills:
• Strong problem solving and analytical thinking abilities.
• Excellent verbal and written communication skills.
• High attention to detail with a commitment to accuracy and quality.
• Ability to simplify complex concepts for non technical audiences.
• Strong collaboration skills and ability to work across teams.
• Highly organized with the ability to manage multiple priorities and deadlines.
• Proactive, self motivated, and comfortable working in a dynamic environment.
Notes:
Onsite Interview Required
• 6 years of experience in Data Analysis
• Strong proficiency in Tableau
• Extensive experience in building dashboards using Tableau
• Strong experience in SQL
• Knowledge of Azure platform and services (Azure Plus)
• Experience as an Analytics Engineer
• Dataset management and data pipeline development
• Demonstrates solid expertise in data visualization and dashboard creation
• Skilled in data extraction, transformation, and loading (ETL) processes
• Familiar with cloud-based data solutions, particularly Azure
• Capable of handling end-to-end analytics projects from data sourcing to visualization
Job Details:
This role requires deep experience in transforming complex datasets into intuitive, actionable insights for external customers. The ideal candidate will have strong expertise in Tableau, including relationships, LOD expressions, and advanced calculations, as well as a solid understanding of SQL and data modeling best practices. This position requires a detail oriented professional with strong analytical abilities, excellent communication skills, and a passion for delivering high quality, accurate dashboards that help customers make informed decisions
Responsibilities
• Design, develop, and maintain interactive Tableau dashboards for the TracKing customer-facing platform.
• Simplify complex datasets into clear, intuitive visualizations and analytical insights.
• Partner with stakeholders to understand reporting needs and translate them into effective dashboard solutions.
• Use advanced Tableau capabilities such as relationships, LOD expressions, parameter controls, and complex calculations.
• Write and optimize SQL queries to support reporting and analysis needs.
• Apply data modeling best practices to ensure scalable, reliable analytics.
• Validate data accuracy and ensure dashboards reflect consistent, high quality information.
• Document data sources, calculations, and dashboard logic for transparency and maintainability.
• Troubleshoot issues with dashboards, data pipelines, and data quality.
• Collaborate closely with cross-functional teams, including data engineering, product management, and customer support.
Technical Skills
• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
• Minimum of 6 years of experience in data analysis or business intelligence roles.
• Strong proficiency with Tableau, including relationships, LOD functions, and advanced visualization techniques.
• Solid understanding of SQL and experience writing complex queries.
• Experience with data modeling concepts and best practices.
• Familiarity with ETL concepts, data integration tools, and operational data sources.
• Experience working with large datasets and optimizing queries for performance.
• Knowledge of cloud platforms (Azure, AWS, or GCP) is a plus.
• Experience with version control systems such as Git is beneficial.
Soft Skills:
• Strong problem solving and analytical thinking abilities.
• Excellent verbal and written communication skills.
• High attention to detail with a commitment to accuracy and quality.
• Ability to simplify complex concepts for non technical audiences.
• Strong collaboration skills and ability to work across teams.
• Highly organized with the ability to manage multiple priorities and deadlines.
• Proactive, self motivated, and comfortable working in a dynamic environment.