• Conduct data collection, exploration & analysis to uncover business insights, trends and patterns. • Optimize data flow & architecture across operational and analytical platforms for efficiency. • Ensure data integrity and accuracy by documenting processes and maintaining quality controls. • Develop dashboards & reports to support decision-making. • Collaborate with cross-functional teams in marketing, operations, and finance to drive data-driven decisions. • Demonstrated ability to apply strong analytical thinking to solve complex problems, interpret data, and make data-driven decisions.

• Definir e evoluir a estratégia de mensuração digital (web e app), alinhada aos objetivos de Produto e Negócio • Estruturar e manter a event taxonomy, garantindo padronização e escalabilidade • Organizar, documentar e governar a data layer (informações para ferramentas como GA4, GTM, pixels etc.), assegurando consistência e qualidade dos dados • Atuar como referência técnica em boas práticas de tracking e governança de dados • Garantir conformidade com LGPD, consentimento e políticas de privacidade • Configurar, auditar e otimizar ferramentas como GA4, GTM (web e app), Firebase, Clarity, PostHog, Hotjar e similares • Implementar e validar eventos, parâmetros, conversões e integrações com pixels (Meta, Google Ads etc.) • Realizar QA contínuo utilizando DebugView, Tag Assistant e outras ferramentas de validação • Identificar e corrigir inconsistências de tracking antes que impactem análises estratégicas • Apoiar integrações via APIs quando necessário • Conduzir análises de funil, jornada, retenção, conversão, churn e LTV • Desenvolver dashboards executivos e operacionais (Looker Studio, Power BI, Tableau) • Definir e acompanhar KPIs e OKRs junto às áreas parceiras • Realizar análises exploratórias e diagnósticos de performance • Transformar dados em insights acionáveis, orientando decisões estratégicas de Produto e Marketing • Atuar ativamente em Discovery, levantando hipóteses baseadas em dados • Apoiar desenho, mensuração e análise de testes A/B • Traduzir dados em recomendações claras para evolução da experiência do usuário • Trabalhar de forma integrada com Produto, UX, Tech, Marketing e Negócio • Construir narrativas executivas (data storytelling) para diferentes níveis da organização • Apoiar decisões estratégicas com base em evidências, destacando limites e premissas dos dados • Ser referência técnica e consultiva em temas de analytics dentro da squad • Antecipar riscos e oportunidades de melhoria na mensuração digital • Propor evoluções de tracking e novas ferramentas quando necessário • Manter-se atualizado sobre tendências de analytics, privacidade, IA e ambiente cookieless • Contribuir para a maturidade data-driven do time e da empresa.

About ABC Legal Services: ABC Legal Service is proud to be the national leader in service of process. We are a team of 1000 and growing with offices in Los Angeles, Oklahoma City, Phoenix, Brooklyn, Chicago, Washington DC, and more. Seattle is our home and headquarters. We’ve been successful in this unique business for over 30 years and we continue to advance our technology and business processes to remain years ahead of what our competition is able to offer. Our focus is to expand our technology lead, acquire and integrate less efficient competitors, and tap into new segments through an integrated inbound marketing and sales approach. Job Overview: The e-File Specialist reviews and files legal documents utilizing online platforms and tools developed by ABC Legal. This role works closely with the e-Fulfillment and e-Filing team to collaborate on projects, resolve issues as they arise and meet common goals. This position is remote but must be located in Michigan. Key Responsibilities: Review and file legal documents using internal systems and email Participate in ongoing training to expand knowledge of industry and process Investigate discrepancies as they arise Complete additional projects as assigned Qualifications: Benefits: Health, Dental, Vision insurance 401(k) with company matching Paid time off 7 Paid company holidays 4 Floating holidays per-year Life Insurance and AD&D Insurance Long Term Disability Health Care Reimbursement Flexible Spending Account Dependent Care Flexible Spending Account EAP (Employee Assistance Program) Pet Insurance Pay Range: $15.00 1 $15.00 per hour Schedule: Full-time, Monday through Friday, 8am to 5pm PST

About Symbiotic Symbiotic is the universal staking protocol enabling protocols to streamline decentralizing their stack. Symbiotic enables creating fully custom or templated staking integrations leveraging any asset and features such as slashing, redistribution, (liquid) restaking, as well as native staking. Over 40 teams including Spark, Hyperlane, and Avail are building on Symbiotic’s universal staking primitives secured by over $1bn in TVL. You can find more information about what we're building and how we're doing it here. Our People We're a tight-knit team of experienced individuals at the forefront of crypto infrastructure. Our backgrounds range from security auditing and smart contract development to node operation, and we're supported by Pantera Capital, Paradigm and CyberFund. We're on the hunt for talented professionals to join our mission and strengthen our awesome team. This is a fully remote role open to candidates worldwide. We have a preference for candidates in GMT or US timezones to ensure overlap with the core team. We will only consider candidates with web3/crypto experience. What You'll Do: Analyze on-chain trading activity at scale to understand user behavior, capital flows, liquidity dynamics, and protocol performance across smart contracts and blockchain networks. Model addresses trading activities and portfolio behavior (positions, fees, PnL, capital efficiency, APR/APY, impermanent losses, etc) using on-chain and market data. Extract and structure DEX and CEX data, integrating trade-level, liquidity, and pricing data to evaluate execution quality, market structure, and user strategies. Query and combine internal and external data sources (e.g., Dune, internal warehouses, APIs, exchange data) to build reliable datasets for research and decision-making. Conduct market-focused research on liquidity design, incentive structures, token emissions, staking models, and competitive positioning across protocols. Design and build AI-driven research pipelines that integrate on-chain data, market data, and LLMs to automate trading analysis, performance tracking, and recurring business workflows. Translate complex market data into actionable insights, supporting product decisions around incentives, liquidity growth, risk, and capital allocation. Collaborate with product, engineering, and business teams to evaluate strategy, optimize capital efficiency, and improve trading-related metrics. Who You Are: