... well as other analytics practitioners (Data Scientists, Data Engineers, Platform Engineers, Solution Developers, ... -end lifecycle of analytics and data projects through the use of ... -end lifecycle of analytics and data projects through the use of ...
... accessibility.* Drive initiatives to improve data quality, integrity, and accessibility across the organization.* Data Analytics and Insights:* Lead efforts to derive actionable insights from data through advanced analytics, machine learning, ...
... upgrades.Develop, optimize, and maintain data migration and data integration processes.Develop and maintain data dictionaries, data lineage, and data quality rules.Stay up to date ...
... for efficient problem-solving.brbrData Quality Champion:br * Perform data quality checks and analyses in source ... the ERP implementation, particularly on data quality, processes, and timelines.br * Analyze ...
... technologies in the areas of data quality, metadata management, master data management, and data enablement technologies.Skills, Knowledge And ExperiencesExperience with data modeling (conceptual, logical, physical) and ...
... and maintenance. Expertise in SQL, data profiling, data quality, and data integration technologies. Knowledge of enterprise data management concepts such as data governance, data quality, metadata management, and data lineage with security best practices ...
... and deliver consistent high quality, high impact, industry-leading data-science solutions ready for industrialization. ... strategy. * Work across Data Sciences teams to contribute to peer review, quality, consistency, enterprise thinking, and flexibly ...
... in Snowflake, a cloud-based data warehousing platform, will be essential in optimizing data workflows, ensuring data quality, and enabling efficient data analysis and reporting. Responsibilities: Architecture ...
... , data analysts, and data scientists on data initiatives.brbrRequirements:br * University Degree ... data.br * Time Management: Skill to effectively juggle multiple tasks and deadlines without compromising the quality of work.br * Adaptability: Capacity ...
... to prevent recurrence and improve data quality. Prevent Recurrence: Addressing recurrent data-related issues to provide long term solutions. Performance & Quality: Ensure rigorous quality control standards for all support ...