• Perform hands-on analysis, technical design, data modeling, development, testing, and deployment of Snowflake-based data solutions. • Own the end-to-end lifecycle of analytics data products, from raw ingestion through dbt transformation to semantic models consumed by AI agents and BI tools. • Design, build, and maintain dbt models, tests, and CI/CD pipelines for enterprise BI and analytics use cases. • Build and publish semantic models (Snowflake semantic views) that make enterprise data consumable by AI agents, BI tools, and business users, without requiring SQL. • Own Snowflake platform responsibilities including data architecture, query optimization, RBAC design, cost management, and warehouse administration. • Develop dashboards and analytics deliverables using modern visualization tools (Sigma, Power BI, Streamlit, or similar). • Partner with multiple cross-department business stakeholders and internal IT colleagues to translate business questions into data products, reports, dashboards, semantic models, or agent-queryable datasets. • Troubleshoot and ensure timely resolution of production data issues and platform defects. • Identify and apply creative and innovative approaches to resolving data modeling, integration, and delivery challenges. • Follow and support established processes for enhancements and change requests, as well as recommend and enforce coding standards. • Prepare and document technical designs and conduct code reviews and checkpoint meetings as needed. • Support and mentor junior team members through code reviews, pairing, and technical guidance. • Effectively communicate within the technical team and with business partners.

• Collaborate with domain teams to implement a hub & spoke data architecture • Develop the core Analytics layer in our data warehouse that serves as the hub • Build an AI-ready semantic layer that is extendable across business domains • Partner with business stakeholders and our product team to understand their data analytics needs • Work closely with the data engineering team to ensure scalability across the platform • Provide technical mentorship and leadership to team members

Role Description As a Data Analytics Engineer for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metric rules and logic, deliver useful tables and reports, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad financial and ERP data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making. - Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management. - Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create ongoing tooling/resources to run the business. - Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed to become the single point of contact for all financial data engineering questions. - Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance. Qualifications - Bachelor's degree or equivalent practical experience. - 5 years of experience in analytics, data science, and/or computer science engineering. - 5 years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL). - Expertise using GCP tools. Requirements - Experience in HTML, Python, or other coding languages. - Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives. - Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership. - Ability to engage with PMO teams to prioritize, provide level of effort estimations, manage bug queues and bandwidth. Benefits - The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + benefits. - As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

Role Description The Intermediate Analytics Developer partners with our product and development teams to deliver proactive insights and data products such as user-facing reports to help add value and enable data-informed decisions to Axonify customers and internal stakeholders. - Build and maintain user-facing reports to help Axonify customers gain insights into their user base and surface opportunities to help Axonify customers grow their workforce. - Build and maintain data models which will power underlying customer/internal reports and analyses. - Partner with Product and Development teams to conduct product/feature analyses and build relevant reports to provide product insights. - Ensure data schemas for new features will support future analytics and data product needs. - Collaborate with various cross-functional stakeholders, including Product Managers, Developers, Designers, UX Researchers, and Data Engineers to address ad hoc data needs and work on projects related to organizing and analyzing data. - Be an integral part of the Data organization, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts. - Identify opportunities to leverage AI tools and techniques to automate tasks, improve code quality, or optimize software performance. Qualifications - Degree in quantitative field OR equivalent experience. - 3-4+ years of experience in a similar field. - Experience with Looker and Bigquery a must. - Strong proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python). - Solid foundation in statistics with proficiency in fundamental statistical techniques such as t-tests, linear regression, etc. - Demonstrated ability to communicate and discuss complex topics with technical & non-technical audiences. - Good product and business acumen. - Demonstrated ability to take defined problems and solve them in a structured, hypothesis-driven, data-supported way. - Demonstrated experience of data warehousing concepts and how this applies to analytics and reports for new features. Requirements - This role is open to candidates who are located in, and authorized to work in, Brazil. - Whether you are working remotely or in a hybrid environment at Axonify, you will have the tools, resources, and support you need to succeed. Benefits - Competitive salary and an incentive plan aligned to your role, which may include annual or variable incentives. - Health benefits from day one to support your overall wellbeing. - 4 weeks of vacation, 7 Life Care Days, and a flexible holiday program to choose the religious, spiritual, and cultural holidays that matter most to you. - Wellness Spending Account to support whatever wellbeing looks like for you. - Home Office Spending Account so your workspace works for you. - Parental top-up, New Parent Days, and matched retirement savings for a secure future. - Professional Development Budget to learn new skills and grow your craft. - Paid Volunteer Time to give back to the causes that matter to you. - Tasty Tuesdays in the office every other week because good food brings people together.