Search the 13 jobs at Data Meaning

The Enterprise Account Executive will focus on identifying and targeting potential clients in Brazil, conducting research to understand their needs, qualifying leads, and collaborating with internal teams to create tailored proposals. The role requires strong communication skills and the ability to establish valuable client relationships to drive growth.

As an AI Image Processing Specialist, you will develop AI-driven processes for automating and enhancing product images for retail clients. This involves collaborating with marketing teams, managing AI workflows, and ensuring all imagery meets high visual standards while aligning with brand guidelines.

As a Data Visualization Lead, you will manage and deliver data visualization projects while leading a team of BI developers and analysts. You will design impactful dashboards, ensure data accuracy and quality, advocate for data-driven culture, and optimize performance, aligning with business goals.

The Solution Architect will develop and implement advanced data strategies and architectures for clients, collaborating with teams to design scalable data systems primarily on cloud platforms like Azure and AWS. Responsibilities include creating architecture diagrams, providing technical expertise in data management, presenting solutions to clients, participating in code reviews, and mentoring junior staff.

Proactively building a pipeline of experienced Power BI Developers passionate about data analytics and business intelligence. Responsible for designing and developing Power BI Dashboards, working with business clients to determine reporting requirements, and ensuring data accuracy and performance standards.

As a Power Automate and Power Apps Developer, you will design, develop, and implement solutions using Microsoft Power Platform tools. You'll automate business processes, create applications, gather requirements, maintain documentation, and conduct training sessions while staying updated on platform features.

Proactively building a pipeline of experienced Microstrategy Developers passionate about data analytics and business intelligence. Opportunity to work on exciting projects leveraging expertise in Microstrategy for data-driven decision-making.

Proactively building a pipeline of experienced Alteryx Specialists passionate about data analytics and business intelligence. Responsibilities include designing, developing, and implementing data analytics workflows, collaborating with clients, enhancing data visualization, and providing technical support. Must have strong proficiency in Alteryx Designer, Alteryx Server, Power BI, and excellent communication skills in English. Fluency in Spanish is a plus.

The role involves developing complex visualizations in Tableau, maintaining the Tableau platform, performing UI/UX testing for various platforms, creating visualization templates, optimizing workbooks, and analyzing data, particularly for healthcare providers. Strong SQL skills are required to manage operational data effectively.

As an Alteryx Specialist, you will design and implement data analytics workflows, collaborate with clients to derive insights, and manage data integration solutions using Alteryx. Key responsibilities include data manipulation, cleansing, and visualization with tools like Power BI, alongside providing technical support and ensuring data quality.

The Senior Backend Python Developer will design, develop, and maintain scalable applications using Python. Responsibilities include software development, mentoring junior developers, API development, and performance optimization, while collaborating with cross-functional teams to deliver high-quality solutions.

As an AI Specialist/Engineer, you will design and implement AI models and algorithms to address business challenges, collaborate with teams to develop AI solutions, analyze large datasets, and deploy predictions in a production environment while ensuring system performance and scalability.

The Data Scientist will ensure data integrity, process structured and unstructured data, analyze large datasets to identify trends, build predictive models, implement statistical techniques, and communicate technical information effectively to various stakeholders. The role requires collaboration with engineering teams and involves continuous learning to stay updated on data technologies.