As a Solution Architect at Data Meaning, you will develop and implement advanced data strategies for clients, designing scalable and secure cloud data systems. Key responsibilities include collaborating with teams, maintaining architecture diagrams, presenting solutions, mentoring junior staff, and ensuring data integrity and performance across platforms like Azure and AWS.

The Power BI Developer will design and develop Power BI dashboards, work with clients to determine reporting requirements, create testing scripts, resolve report issues, and communicate progress to project leads. They will utilize their expertise in Power BI and ETL methodologies to drive data-driven decisions.

As a Tableau Developer, you will develop and maintain complex visualizations, conducting UI/UX testing, optimizing workbooks for performance, and managing operational data using SQL. The role requires expertise in Tableau and the ability to work independently in delivering high-quality analytics solutions for clients.

The Alteryx Specialist will design, develop, and implement data analytics workflows, utilizing Alteryx to provide data-driven insights. Responsibilities include collaborating with clients, enhancing data visualization with Power BI, maintaining documentation, conducting data quality assessments, and providing technical support during implementation.

Design, develop, and deploy solutions using Power Automate and Power Apps to automate business processes and improve efficiency. Collaborate with teams to gather requirements and create user-friendly applications. Prepare training sessions and maintain documentation to enhance user adoption.

The role involves developing Microstrategy reports and dashboards to support data analytics initiatives. The position emphasizes working remotely on projects that drive data-driven decision-making, requiring a strong background in Microstrategy and SQL.

The Alteryx Specialist will design, develop, and implement data analytics workflows using Alteryx, collaborating with clients to provide actionable insights. Responsibilities include data manipulation, ETL, and enhancing data visualization capabilities with tools like Power BI. The role also involves documentation and technical support during Alteryx workflow deployment.

The Power Platform Consultant will design and develop solutions using Microsoft Power Platform tools, such as Power Automate and Power Apps. Responsibilities include creating integrations, providing pre-sales support, conducting training, and staying updated on Power Platform advancements.

The Data Scientist position involves building predictive models using Python and Snowflake/Snowpark, analyzing large datasets for trends and insights, ensuring data accuracy, collaborating with teams for model deployment, and communicating findings effectively to various stakeholders.

The Senior LLM/RAG Engineer will design and implement Retrieval-Augmented Generation (RAG) techniques for enhancing metadata quality. Key responsibilities include developing API connections, maintaining a RAG system using Azure OpenAI, building scalable applications, collaborating with IT teams, and ensuring compliance with data management standards.

The Power BI Specialist will oversee the migration from Tableau to Power BI, focusing on recreating Tableau reports, optimizing data models, and implementing best practices. The role requires collaboration with stakeholders, training end-users, and ensuring data accuracy and visualization consistency post-migration.

The AI Specialist/Engineer will design, develop, and implement AI models and algorithms while collaborating with teams to leverage AI technologies. Key responsibilities include analyzing datasets, deploying AI solutions, monitoring performance, and conducting AI methodology training for junior staff.

As a Senior Backend Python Developer at Data Meaning, you will develop robust applications, mentor junior developers, and collaborate with cross-functional teams to deliver high-quality software solutions. Responsibilities include writing clean code, API development, system design, and performance optimization.

The Data Scientist will ensure data integrity, analyze large datasets for trends, build predictive models, apply statistical techniques, and communicate findings effectively. Responsibilities include collaborating with engineering teams, deploying models, and creating data visualizations to support business decisions.

The Alteryx Pre-Sales Specialist will provide pre-sales support to potential clients, demonstrate Alteryx and other analytics platforms, and mentor team members. Responsibilities include conducting bespoke sessions to architect solutions, analyzing challenges, and ensuring successful implementation of Alteryx solutions.

As an Alteryx Specialist at Data Meaning, you will leverage Alteryx and related skills to design and implement data analytics solutions for clients. Engage with clients to gather requirements, utilize Alteryx for data integration and transformation, and support project deliverables while maintaining documentation and ensuring data quality.

The Enterprise Account Executive will drive growth and establish client relationships in Brazil. Responsibilities include identifying potential clients, conducting research to align solutions, qualifying leads, creating tailored proposals, participating in presentations, and maintaining CRM records. The role requires exceptional communication skills and a strong background in B2B sales.

As an AI Image Processing Specialist, you will develop AI-driven processes to automate and enhance product images for retail clients. Collaborate with marketing and product teams to align visual outputs with strategic branding goals, while ensuring high-quality imagery that resonates with the client's brand vision.

The Data Visualization Lead is responsible for overseeing the delivery of data visualization projects while managing a team of BI developers and analysts. This role includes designing visualizations, ensuring data quality, collaborating with stakeholders, and promoting a data-driven culture within the organization.