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.

Role Description We are looking for a Senior Analytics Engineer to support the development of impactful and user-friendly Power BI dashboards and reports. This role will focus primarily on data visualization and reporting, working closely with stakeholders to transform data into actionable business insights. Qualifications - 5+ years of experience in Analytics Engineering, BI, or Data Analytics roles - Strong hands-on experience with Power BI visualization and dashboard development - Experience working with data from multiple sources and complex datasets - Familiarity with Microsoft Fabric or modern cloud-based data platforms - Good understanding of data modeling and reporting best practices - Strong communication and stakeholder management skills Requirements - Experience with SQL and data transformation tools (bonus points) - Exposure to Azure data services or ETL pipelines (bonus points) - Experience working in fast-paced or consulting environments (bonus points) Responsibilities - Design, build, and maintain Power BI dashboards and reports - Create clear and effective data visualizations for business users - Work with data coming from multiple sources integrated through Microsoft Fabric - Collaborate with technical and business teams to understand reporting requirements - Ensure data accuracy, consistency, and usability across reports - Support ongoing enhancements and optimization of existing dashboards Benefits - Be part of a winning squad that plays to each other’s strengths - Celebrate every success together

• Implement the curated data model layer in dbt across 18 data domains, working closely with the Onshore Analytics Engineering Lead. • Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers. • Implement comprehensive dbt testing strategies, including unique, not_null, accepted_values, relationships, and custom tests to ensure data quality and reliability. • Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently. • Generate and maintain thorough project documentation, including column descriptions and lineage graphs, to support transparency and team collaboration.