Dev Technology
Data Analyst
We are seeking a Data Analyst with a strong background in business requirement testing and defect management to join our team. The ideal candidate will have experience in Tableau (Server/Desktop/Prep) for creating data visualizations and reports and will play a crucial role in ensuring that our data-related requirements are met and thoroughly tested. What You'll Be Doing: Analyze data to identify trends and actionable insights, using statistical methods and data models to support business decisions. Create clear visualizations and develop reports using Tableau, Power BI, or Excel to communicate insights to stakeholders. Conduct spatial data analysis using GIS software (ArcGIS) Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. Design and implement efficient data analysis workflows to optimize processing and analysis tasks. Test dashboards, reports, and data sources to ensure business requirements are met, and collaborate with product owners to ensure accurate delivery. Create and manage Tableau visualizations, dashboards, and data sources to provide accurate reporting and insights. Collaborate with cross-functional teams to translate data insights into strategic business solutions. Provide technical support and training on GIS tools, visualization platforms, and data analysis methodologies. Required Education, Experience, and Skills: Bachelor's degree or five (5) or more years of relevant experience in requirements gathering experience or testing experience. Experience as a Data Analyst or in a similar analytical role, with proven experience in data analysis, cleaning, and reporting. Proficiency in SQL for database querying. Ability to access and extract data; clean, transform and prepare data; perform data analysis; and perform statistical measures such as data calculations. Ability to analyze relationships between datasets and identify patterns. Experience with Tableau Server/Desktop/Prep to create data sources and visualization dashboards. Experience with Agile ceremonies (e.g., sprint planning, backlog grooming, stand-ups, sprint reviews, retrospectives). Strong attention to detail, with the ability to identify data discrepancies and issues in reports and dashboards. Experience in quality control and testing to validate requirements and identify data discrepancies for resolution. Experience in defect management, user story creation, and testing, including functional qualification, regression, and user acceptance testing support. Experience in Python to clean data, perform analysis, and automate tasks to increase efficiency in handling datasets and reports. Ability to evaluate and validate business requirements, providing actionable feedback. Ability to analyze and interpret complex data sets, providing data-driven solutions for business challenges. Excellent collaboration skills with cross-functional teams and stakeholders. Strong verbal and written communication skills, with the ability to present data insights to both technical and non-technical audiences. Preferred Education, Experience, and Skills: Understanding of ETL processes and data management is preferred.
We are seeking a Data Analyst with a strong background in business requirement testing and defect management to join our team. The ideal candidate will have experience in Tableau (Server/Desktop/Prep) for creating data visualizations and reports and will play a crucial role in ensuring that our data-related requirements are met and thoroughly tested. What You'll Be Doing: Analyze data to identify trends and actionable insights, using statistical methods and data models to support business decisions. Create clear visualizations and develop reports using Tableau, Power BI, or Excel to communicate insights to stakeholders. Conduct spatial data analysis using GIS software (ArcGIS) Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. Design and implement efficient data analysis workflows to optimize processing and analysis tasks. Test dashboards, reports, and data sources to ensure business requirements are met, and collaborate with product owners to ensure accurate delivery. Create and manage Tableau visualizations, dashboards, and data sources to provide accurate reporting and insights. Collaborate with cross-functional teams to translate data insights into strategic business solutions. Provide technical support and training on GIS tools, visualization platforms, and data analysis methodologies. Required Education, Experience, and Skills: Bachelor's degree or five (5) or more years of relevant experience in requirements gathering experience or testing experience. Experience as a Data Analyst or in a similar analytical role, with proven experience in data analysis, cleaning, and reporting. Proficiency in SQL for database querying. Ability to access and extract data; clean, transform and prepare data; perform data analysis; and perform statistical measures such as data calculations. Ability to analyze relationships between datasets and identify patterns. Experience with Tableau Server/Desktop/Prep to create data sources and visualization dashboards. Experience with Agile ceremonies (e.g., sprint planning, backlog grooming, stand-ups, sprint reviews, retrospectives). Strong attention to detail, with the ability to identify data discrepancies and issues in reports and dashboards. Experience in quality control and testing to validate requirements and identify data discrepancies for resolution. Experience in defect management, user story creation, and testing, including functional qualification, regression, and user acceptance testing support. Experience in Python to clean data, perform analysis, and automate tasks to increase efficiency in handling datasets and reports. Ability to evaluate and validate business requirements, providing actionable feedback. Ability to analyze and interpret complex data sets, providing data-driven solutions for business challenges. Excellent collaboration skills with cross-functional teams and stakeholders. Strong verbal and written communication skills, with the ability to present data insights to both technical and non-technical audiences. Preferred Education, Experience, and Skills: Understanding of ETL processes and data management is preferred.