• Desenvolver os modelos com dbt/SQL da plataforma de dados do Asaas; • Promover e sustentar a transformação eficiente e segura dos nossos ativos de dados; • Garantir governança, qualidade, documentação, escalabilidade e impacto dos dados no negócio; • Promover a conscientização sobre o consumo eficiente e seguro de dados; • Garantir o desenvolvimento e sustentação de ativos de dados; • Monitorar a performance e o resultado do pipeline de dados.

Title: Data Engineer - AI Semantic Analytics Location: US - United States of America time type Full time job requisition id JR0026544 Job Description: It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. A Little About Us: The Yahoo Consumer Data Team manages a petabyte-scale data ecosystem that powers insights across Yahoo’s media products and drives improvements to user engagement and experience. We partner across multiple organizations at Yahoo to translate data into meaningful product impact. Our team is evolving how data is accessed and consumed by moving toward semantic analytics and natural language-driven insights that enable faster, more intuitive decision-making. Your work will directly influence product strategy and help modernize how teams interact with data at scale. Along the way, you’ll collaborate with talented engineers and analysts while contributing to innovation at one of the internet’s pioneering companies. Summary: We are seeking an entry-level Data Engineer with a strong interest in semantic analytics, AI-assisted querying, and natural language interfaces over large-scale data systems. This role will begin as a customer-facing analytics position, where you will work directly with internal stakeholders to translate business questions into structured data insights using semantic layers and natural language query frameworks built on top of BigQuery or MCP services. As you grow in the role, you will transition into more backend-focused responsibilities, helping design and optimize the semantic layer, query orchestration services, and data infrastructure that power these experiences. The ideal candidate is curious about AI-driven analytics workflows, enjoys working closely with business partners, and is eager to build modern data access systems that bridge natural language and large-scale data platforms. Responsibilities: - Partner directly with internal stakeholders to gather analytical requirements and translate business questions into actionable data insights. - Leverage semantic analytics frameworks and MCP services to enable natural language queries against BigQuery datasets. - Develop, test, and optimize SQL queries and semantic models that support scalable and reliable analytics workflows. - Contribute to the design and refinement of metadata layers, data dictionaries, and query abstractions to improve usability and consistency. - Support the development of AI-assisted analytics workflows that integrate tools such as Claude, Copilot, Cursor, or similar coding assistants. - Monitor data accuracy, performance, and reliability across analytics pipelines and query services. - Collaborate with data engineers and platform teams to improve backend systems powering semantic query services. - Assist in automating reporting and insight generation using modern BI and AI-enhanced tools. - Troubleshoot query performance issues and improve cost efficiency within BigQuery environments. - Stay current on best practices in AI-driven analytics, semantic data modeling, and cloud data infrastructure. Qualifications: - BS in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). - Strong interest in AI-driven analytics, semantic data layers, and modern data access patterns. - Familiarity with SQL and cloud data warehouses such as BigQuery (or equivalent platforms like Snowflake/Redshift). - Understanding of data modeling principles and structured analytics workflows. - Exposure to AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar is highly desirable. - Strong analytical thinking and problem-solving skills. - Comfortable in a customer-facing or stakeholder-facing role with clear communication skills. - Curiosity and willingness to grow from analytics support into backend data engineering work. The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoopolicies;exercising sound judgment;working effectively, safely and inclusively with others;exhibiting trustworthinessandmeeting expectations;and safeguarding business operations and brand integrity. At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter! Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. The compensation for this position ranges from $76,500.00 - $159,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more. Currently work for Yahoo? Please apply on our internal career site.

Role Description We’re looking for an Analytics & Optimization Specialist to help drive the next phase of growth for ZODL and the Zodl wallet. This role sits at the intersection of analytics, experimentation, content, and growth. You’ll work closely with our Head of Marketing and Comms Lead to understand what drives attention, engagement, conversion, retention, and long-term adoption across our marketing and ecosystem efforts. You will help build the analytical foundation behind our marketing organization. You will: - Identify patterns, measure performance, improve efficiency, and help us make smarter decisions across content, campaigns, user acquisition, and growth initiatives. - Understand what resonates, which initiatives drive results, and how we should optimize every aspect of our marketing to increase Zodl adoption and overall ecosystem engagement. This role is ideal for someone who combines strong analytical thinking with creative marketing instincts. You should be comfortable moving between analytics, experimentation, and creative collaboration across the broader marketing function. Qualifications - Deep curiosity and enjoyment in figuring out why something works or doesn’t work. - Understanding of funnels, and how users move through acquisition, activation, retention, and referral flows. - Ability to synthesize data, trends, feedback, research, and performance insights into clear recommendations. - Natural inclination toward analytics, numbers, experimentation, systems, and optimization, with a genuine enjoyment of the creative side of marketing. - Comfort in creating marketing content, including writing posts, creating and editing videos, and exploring other forms of promotional and educational content. - Strong growth instincts and enjoyment in experimenting with ideas, formats, messaging, and channels. - Comfortable working across multiple tools, platforms, and workflows, constantly looking for optimization opportunities. - Ability to communicate insights clearly and translate data into actionable recommendations. - Ability to handle ambiguity well and improve imperfect systems over time. - Proactive and comfortable operating with autonomy in a fast-moving environment. - Highly organized and collaborative. Requirements - Experience working in crypto and genuine interest in Zcash, privacy, financial sovereignty, open systems, and the future of digital money. - 3+ years of experience in marketing analytics, growth marketing, performance marketing, optimization, product marketing, or related data-driven marketing roles. - Experience in content, communications, campaigns, social media, or other marketing roles demonstrating strong creative instincts and understanding of audience psychology. - Demonstrated ability to connect marketing activity to product outcomes: downloads, signups, retention, monthly active users, and measurable growth. - Strong analytical and pattern-recognition skills, with the ability to spot trends, anomalies, and insights across large data sets. - Experience running A/B tests and evaluating creative performance across channels (social, website, app store, campaigns). - Hands-on experience with AI tools and automation workflows. - Hands-on experience with analytics and reporting platforms such as Google Analytics, App radar, Search Console, Mixpanel, and similar tools. - Experience with SEO principles, keyword research, and organic growth strategies. - Ability to understand marketing performance within the broader context of positioning, messaging, user psychology, and product adoption. - Ability to translate signals from across marketing, product, user behavior, analytics, and ecosystem activity into clear recommendations, prioritizations, and strategies. Benefits - Competitive compensation: $100k-140k. - Remote work flexibility.

• As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack. • The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met. • The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development.