Role overview

Qualifications

Advanced English level
5+ years of experience in data analytics with a strong focus on Alteryx
Strong hands-on experience with Alteryx Designer
Experience with Alteryx Server (administration, deployment, or support) and solid SQL skills with relational databases

Responsibilities

Design, develop, and maintain analytics workflows using Alteryx Designer
Support and optimize Alteryx Server environments, including scheduling, permissions, monitoring, and troubleshooting
Translate business requirements into scalable analytics solutions and perform advanced data preparation, transformation, and automation using Alteryx and SQL
Collaborate with stakeholders and contribute to best practices, documentation, and analytics standards; work with BI tools such as Power BI, Tableau, or Qlik to support reporting and dashboards

Key facts

Remote from: Anywhere
Fixed term
Senior (5-10 years)
English

Other skills

Consulting
Communication
Problem Solving

About the company

Data Meaning

Data Meaning is a consulting company that provides business intelligence services to leading companies and government agencies. Our mission is to increase the effectiveness of our customers' business, without compromising their budget, by transforming data into intelligent information that will lead into strategic decisions. We provide top consultant services that generate flexible solutions to our clients in the areas of Business Intelligence, Data Warehousing and Project Management. Our offer includes short and long-term contracts, employee placement, and outsourcing strategies to better comply with our customers' needs and goals.

Company details

Company typeSME

Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

Alteryx Specialist

Location: BR, remote.
Position Type: temporary contract
Salary: TBD

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture.

Position Summary

We are looking for an Alteryx Specialist to design, develop, and support scalable analytics solutions using Alteryx. This role combines hands-on development (Designer), platform support (Server), and stakeholder collaboration, working closely with internal teams and clients to deliver efficient, high-performing, and maintainable analytics environments.

Key Responsibilities:

Design, develop, and maintain analytics workflows using Alteryx Designer
Support and optimize Alteryx Server environments, including scheduling, permissions, monitoring, and troubleshooting
Translate business requirements into scalable analytics solutions
Perform advanced data preparation, transformation, and automation using Alteryx and SQL
Support deployment and maintenance of workflows across development and production environments
Collaborate with stakeholders to deliver data-driven solutions aligned with business needs
Contribute to best practices, documentation, and analytics standards
Work with BI tools (e.g., Power BI, Tableau, Qlik) to support downstream reporting and dashboards

Required Qualifications:

Advanced english level
5+ years of experience in data analytics with strong focus on Alteryx
Strong hands-on experience with Alteryx Designer
Experience with Alteryx Server (administration, deployment, or support)
Solid SQL skills and experience with relational databases
Experience building and maintaining data workflows and automated pipelines
Familiarity with BI tools such as Power BI, Tableau, or Qlik
Ability to communicate effectively with both technical and non-technical stakeholders
Strong problem-solving skills and ability to work independently in a remote environment

Nice to have:

Alteryx certifications (Core, Advanced, or Server)
Knowledge of Python and/or R
Experience with cloud platforms (AWS, Azure, or GCP)
Exposure to data architecture or enterprise analytics environments
Experience in consulting or client-facing roles