About Mixbook Mixbook is an award-winning design platform that gives consumers unmatched creative freedom to design and share one-of-a-kind stories, transforming the lives of more than 6 million people. We are the #1 rated photo book service in the US, with 43,000+ five-star reviews and a profitable, growing business. Customers love Mixbook for our powerful and intuitive editor, exceptional quality, designer-curated themes, and fanatical customer service. Founded by two UC Berkeley entrepreneurs named to Inc.’s 30 Under 30, Mixbook has been featured on the Today Show, Good Morning America, TechCrunch, The Verge, The Washington Post, The New York Times, and more. Today, Mixbook is a global team building thoughtful, beautifully crafted products at scale - and we’re just getting started. OverviewMixbook is looking for a Senior Product Data Analyst to own and elevate Product Analytics across the company. You’ll partner deeply with Product and Engineering to ensure best-in-class instrumentation, run rigorous deep-dive analyses that shape strategy, and translate complex findings into clear narratives that drive action and change our product roadmap. This is a high-impact, hands-on role for a seasoned analyst who thrives in ambiguity, is obsessed with product behavior across mobile and web experiences, and can help Mixbook move faster with trusted data. You Will - Shape Product Analytics at Mixbook: understand, measure, and optimize the end-to-end product experience across our web and mobile product lines. - Deliver deep-dive analyses that change decisions: investigate funnels, journeys, engagement, behavior, retention, and conversion to uncover the “what happened” and the “why.” - Drive successful product launches (0→1): pave the way to analyze the impact of new product launches, including launch measurement, PMF tracking, and iteration insights. - Act as a trusted thought partner: engage early in planning, help shape the questions, and push toward the highest-leverage work. - Communicate insights with clarity and influence: write crisp narratives and build executive-ready presentations that translate data into recommendations. - Lead instrumentation and event design: partner with Product and Engineering to define what should be tracked (events + properties), validate implementations, and ensure clean, reliable data. - Own Mobile App Product Analytics end-to-end: define the measurement strategy, establish event standards, and ensure the mobile app is instrumented correctly to support decision-making. - Build and maintain core reporting: create and evolve dashboards in Mixpanel and Looker that are purposeful, trusted, and tied to product decisions. - Run and scale experimentation: partner with Product teams to identify opportunities for A/B testing, design measurement plans, and analyze results. - Raise the bar for Analytics at Mixbook: contribute to shared standards, best practices, documentation, and analytical enablement across teams. You Are - A product analytics expert with deep experience specifically measuring mobile-first experiences (events, properties, funnels, retention, cohorts, attribution, and lifecycle). - Highly fluent in instrumentation: you’ve worked in environments where events were incomplete or inconsistent and you’ve led the effort to define, implement, and validate tracking. - A seasoned analyst who drives business impact: your work has materially changed product direction, priorities, or roadmap decisions. - Curiosity-driven and comfortable with ambiguity: you don’t need a perfect spec— you investigate, iterate, and find the signal. - A strong product partner with 8+ years of experience in analytics, with the majority in software product analytics. - Advanced in SQL and able to write complex, reliable queries against large datasets. Experience writing Python code is also required. - Experienced with modern product analytics tooling such as Mixpanel (or Amplitude), plus BI tools like Looker. - Strong in experimentation and measurement: you understand hypothesis-driven product development, statistical rigor, and how to interpret experiment outcomes. - A clear communicator: you can translate complex analysis into crisp narratives for executives and cross-functional stakeholders. - Nice to have: experience working on 0-1 product launches, as well as experience in B2C eCommerce / DTC products. - Education: Bachelor’s degree (or higher) in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Engineering, or similar. #LI-Remote Company Mission Our mission is to empower people to be creative and connect deeply with the ones they love. Unlike many growth companies, we have invested deeply in culture. Organizational health is central to our long-term strategy - we believe that when we care for our people, they build great products, our customers feel the difference, and our business grows as a result. We want people to join us who live our values: - Courageous Care - empathy with backbone; caring enough to be clear - Craftsmanship - pride in what we build and who it’s for; ownership end-to-end - Pioneer Spirit - moving fast and thinking ahead; treating constraints as creative fuel If Mixbook resonates with you and you’re excited by the work ahead, we encourage you to apply! Mixbook is an Equal Opportunity Employer. We are committed to creating an inclusive environment and to providing equal employment opportunities to all applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable law. Mixbook provides reasonable accommodations to applicants with disabilities during the recruitment process. If you require accommodation to participate in the application or interview process, please let us know by reaching out to: careers@mixbook.com.

• ERP analysis & data mapping: You analyze the data structures of common ERP systems on the German market. You understand how customer data is structured in legacy systems and develop logic to transform it into our target model. • Data preparation & migration: You ingest customer data (exports, databases), prepare and clean it ("Data Cleaning") and validate the results. Your goal: a flawless go-live for the customer. • Customer interface: You review the prepared data together with customers, identify necessary corrections and finalize the import. You can explain technical details clearly to non-technical contacts. • From process to automation: You are motivated to eliminate manual steps. You recognize patterns in migrations and help the team develop automated pipelines, scripts, or import assistants to accelerate onboarding step by step. • Quality assurance: You perform logical and content comparisons to ensure migrated data is 100% consistent.

Role Description Altera Digital Health is seeking a passionate and qualified Health Informatics Intern to join our dynamic team! This is a remote internship opportunity in Canada. As a Health Informatics Intern, you will play a vital role in supporting our projects and gaining valuable experience in a fast-paced and growing healthcare technology company. This is a 3-4 month internship with the potential for extension. - Collaborate with cross-functional teams to gather and analyze project requirements and assist in project execution. - Analyze and document clinical and referral workflows and participate in the design and validation of clinical order sets. - Contribute to the development of new clinical dashboards and reports that deliver value to clinical users. - Rapidly learn and contribute to process improvement initiatives aimed at improving clinician experience and population health outcomes. - Provide support for project incidents and maintain excellent client relationships. - Expand your knowledge and skills through hands-on experience in a dynamic and collaborative work environment. Qualifications - Currently enrolled in a Canadian health informatics, computer science, software engineering or data science master’s program with an internship track. Applicants with a postgraduate certificate in health informatics may also be considered. - Passionate about healthcare and interested in advancing healthcare technology. - Technical proficiency in MS Office, MS Visio, and data visualization & reporting tools (Power BI & SQL query is required). - Familiarity with Health Interoperability Standards (HL7, FHIR, SNOMED, ICD, etc.) preferred. - Coding knowledge (XML, JSON, Python, SQL) preferred. - Strong critical thinking, analytical, and problem-solving skills. - Excellent communication skills, both written and verbal. - Self-starter with the ability to work with minimal supervision and a willingness to learn quickly on the job. Requirements - Visits to clients. - Work location: Saskatchewan or Manitoba with some travel to client. Benefits - Competitive hourly rate. - Opportunity to gain valuable experience in a leading healthcare technology company. - Work in a dynamic and collaborative remote work environment.

• Develop and maintain Python-based analytical workflows to support machine learning model development, scoring, validation, and performance monitoring. • Design and build scalable, production-grade datasets and feature tables to support reporting, experimentation, and predictive modeling initiatives. • Write complex SQL queries to integrate multi-source marketing, CRM, and enrollment data, ensuring data accuracy, consistency, and performance optimization. • Engineer and validate model features to support advanced marketing analytics initiatives, including multi-touch attribution, marketing mix modeling, lead scoring, and customer lifetime value. • Partner in the deployment and operationalization of predictive models into production environments, ensuring reliable and automated data pipelines. • Contribute to the design and enhancement of marketing analytics data architecture to ensure data is accessible, reliable, and reusable across teams. • Identify and implement process improvements, including pipeline optimization, automation of manual workflows, and infrastructure redesign for scalability and performance. • Perform complex analyses on marketing, digital, and call center data to identify drivers of conversion and enrollment performance. • Conduct root cause analysis across traffic, campaign, and enrollment datasets to uncover actionable business insights. • Design automated reporting solutions that empower business stakeholders to self-serve insights while ensuring data governance and consistency.