Senior Data Governance Analyst (Azure Purview + Data Engineering) Brazil-based | Full-Time CLT | Data & Governance Why This Role Matters At Data Meaning, we are seeing rapid growth in enterprise data governance initiatives on Azure, with Microsoft Purview at the center. We’re looking for a Senior Data Governance Consultant who can lead end-to-end Purview implementations, shape governance strategy, and partner directly with clients to turn data into a trusted, governed asset. This is not a support role — this is a client-facing leadership position where you will define how organizations manage, secure, operationalize, and engineer their data platforms. What You’ll Do: Lead Azure Purview Implementations - Architect and deliver end-to-end Microsoft Purview solutions across enterprise environments - Design and configure: - Data Map and scanning strategies - Metadata ingestion and classification frameworks - End-to-end data lineage (ADF, Databricks, Snowflake, Fabric) - Establish scalable patterns for cataloging, discovery, and governance automation Define Data Governance Strategy - Design and implement enterprise data governance operating models - Lead development of: - Business glossaries - Data ownership & stewardship frameworks - Data classification and sensitivity policies - Conduct governance maturity assessments and define transformation roadmaps Build & Integrate Data Pipelines - Design, develop, and maintain ETL/ELT pipelines using: - Azure Data Factory (ADF) - dbt (data build tool) - Build and orchestrate workflows in Databricks (Apache Spark) - Develop Alteryx workflows to enable self-service analytics and business-driven data prep - Ingest and manage structured and unstructured data in Azure Data Lake Storage (ADLS) - Ensure governance is embedded directly into pipelines (lineage, quality, classification) Data Modeling & Platform Architecture - Architect and optimize data models in: - Snowflake - Databricks / Delta Lake - Apply modeling techniques: - Dimensional modeling - Data Vault - Collaborate with analytics teams to define semantic layers and business logic in dbt - Ensure performance, scalability, and cost efficiency across platforms Partner with Clients & Stakeholders - Lead client workshops to align business and technical stakeholders - Translate business needs into governance frameworks and data architecture solutions - Advise leadership on data risk, compliance, and best practices - Present solutions to both technical and executive audiences Enable Data Quality, Trust & Compliance - Define and implement data quality frameworks and rules - Establish: - Data lineage tracking - Metadata management standards - Support regulatory initiatives (e.g., GDPR, HIPAA, CCPA) through: - Data classification - Access controls - Audit readiness - Ensure consistent, trusted, and governed data across platforms Engineering & Automation - Develop Python-based solutions for: - Workflow automation - API integrations - Data operations - Write and optimize complex SQL queries, views, and stored procedures - Monitor and optimize pipeline performance, including: - Logging - Alerting - Error handling - Troubleshoot and resolve data pipeline and platform issues Integrate Across the Azure Data Ecosystem - Align governance and engineering across: - Azure Data Factory (ADF) - Databricks / Unity Catalog - Azure Data Lake Storage (ADLS) - Snowflake - Partner with engineering teams to embed governance into data pipelines and architecture Collaboration & Documentation - Work closely with: - Data analysts - Data scientists - BI engineers - Document: - Data pipelines - Data models - Governance policies - Contribute to data catalogs and internal knowledge repositories - Participate in code reviews and mentor junior team members What We’re Looking For Required Experience - 7+ years in data, analytics, engineering, or data governance roles - 3+ years hands-on experience with Microsoft Purview - Proven experience leading data governance implementations or programs - Strong understanding of: - Data cataloging, lineage, and metadata management - Data governance frameworks and operating models - Experience in client-facing / consulting roles Technical Expertise - Deep experience with Microsoft Purview (Data Map, scanning, classification, lineage) - Strong experience with: - Azure Data Factory (ADF) - Azure Data Lake Storage (ADLS) - Snowflake - Databricks / Unity Catalog - Experience with: - dbt for transformations and modeling - Alteryx (preferred) - Strong SQL skills - Working knowledge of Python for automation and data engineering - Experience building and optimizing data pipelines and ETL/ELT processes Governance & Business Skills - Experience designing: - Data stewardship models - Business glossaries - Governance policies and standards - Ability to bridge business and technical stakeholders - Strong communication and workshop facilitation skills Preferred - Experience with additional governance tools (Collibra, Alation) - Familiarity with: - CI/CD pipelines, Git, and DataOps practices - Azure certifications (e.g., DP-203, Purview-related) - Experience in regulated industries - Familiarity with Microsoft Fabric What Success Looks Like in This Role - You can lead a Purview implementation from 0 → production - You can define both: - Governance strategy - Data engineering architecture - You are equally comfortable: - Running executive workshops - Designing scalable data pipelines - You help clients move from data chaos → governed, production-grade data platforms Why Join Data Meaning - Work on high-impact, enterprise Azure data transformations - Be part of a fast-growing governance practice - Collaborate across data engineering, analytics, and AI teams - Opportunity to shape both governance and modern data platform capabilities

Business Analytics Specialist Let’s be unstoppable together! Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set. At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives.  We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work.  Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com. Role Overview Our Business Analysts will focus on providing client support for Circana’s self-serve Marketing Mix solution. Primary areas of focus are project setup, data preparation and first line review of client issue resolution. Job Responsibilities - Project setup includes creating reports in Unify+ that define project parameters, working with client and internal team members to clarify any ambiguities and populating online forms to ensure proper application configuration. - Owning client data management for key client projects. The analyst will organize and track data files received, clean and reformat data to meet input template requirements and then load files into online Liquid Mix platform. - Additional client support, ranging from answering basic questions about input files or functionality on the Liquid Mix platform, to submitting tickets for technical issues encountered by the client that are to be resolved by ATP. Requirements - Holds a bachelor’s degree. - Ideally, the applicant should have 1-3 years of work experience in media measurement, analytics or data management. - - Exceptional organizational skills: ability to organize and keep track of multiple projects with numerous data files. - Analytic aptitude: ability to review large data sets and then identify and correct issues within Excel or other analytic platforms. - Strong interpersonal skills, with proficiency in English and clear oral and written communication. - Learns new processes through reading instructions and observing demonstrations. Good note-taking skills and ability to reproduce steps following training sessions. - Works independently but also has the ability to work cooperatively with other team members as needed. - Personal accountability for tracking and completing work in a timely manner. - Ability to prioritize tasks across multiple projects. - Adapts well to change and remains calm under pressure. - Experience with Excel, PowerPoint and other Microsoft applications. Circana Behaviors Beyond technical skills, experience, and role-specific attributes, these shared behaviors are fundamental to our culture and success. We seek individuals who consistently demonstrate and champion these behaviors in their daily work: - Stay Curious: Being hungry to learn and grow, always asking the big questions. - Seek Clarity: Embracing complexity to create clarity and inspire action. - Own the Outcome: Being accountable for decisions and taking ownership of our choices. - Center on the Client: Relentlessly adding value for our customers. - Be a Challenger: Never complacent, always striving for continuous improvement. - Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity. - Commit to each other: Contributing to making Circana a great place to work for everyone. Location: This position can be located in the following area(s): Mexico City, Mexico

• We are looking for a professional with solid experience in Python to work with Artificial Intelligence, especially LLMs and agents, on innovative projects. • Hands-on work with RAG, prompt engineering, development of agent flows and integrations in Python/TypeScript, including use of AWS. • Mastery of software engineering best practices, testing, observability, and memory/state management in AI applications is essential.

• Implementation, configuration, and maintenance of analytics solutions and tracking setups, in particular with Google Analytics. • Ideally, knowledge of Adobe Analytics, Matomo, or eTracker. • Analysis of user behavior and deriving actionable recommendations to optimize websites and digital campaigns (e.g., conversion rate or funnel optimizations). • Building reports and providing recommendations tailored to the diverse needs of our clients. • Close collaboration with internal teams and clients to understand and implement individual requirements. • Independent planning and execution of A/B/n tests, for example with Adobe Target. • A workplace you can largely shape yourself and where you can set your own areas of focus.