Role Description The Principal Analytics Engineer for Product Analytics will shape how product data is transformed and consumed, ensuring that both human analysts and AI agents receive consistent metrics, faster iteration, and trustworthy answers. This role is central to designing and evolving an analytics architecture that radically shortens the distance from complex business questions to validated insights. As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams—architecting pipelines, semantic layers, and quality practices so they work as a singular, cohesive system. The ideal candidate is a visionary technical simplifier with deep expertise in modern data stacks, a passion for developer/analyst velocity, and a proven ability to enable partner teams. You will play a dual role: - Empowering human analysts to spend less time debugging and more time driving strategy. - Hardening our data layer into a load-bearing, semantic infrastructure that AI tools can query accurately and safely. What you’ll do - Architecture & Semantic Layer Strategy - Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership. - Agent-Safe Infrastructure: Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance. - Semantic Evolution: Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI. - Operational Excellence & Velocity - Friction Elimination: Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces. - Quality & Governance Standards: Set and hold the bar for what "done" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle. - Cross-Functional Alignment: Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer. - Leadership & Enablement - Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices. - Mentorship & Review: Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers. Qualifications - 12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role. - Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI). - Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns. - Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority. - Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying. Preferred Qualifications - Hands-on experience working directly with dbt and Snowflake in a high-scale environment. - Practical experience implementing data mesh architectures or federated data ownership models. - Exposure to AI/LLM tooling as a data consumer, with a strong conceptual grasp of what clean, well-structured data requires to be successfully queried by AI agents and assistants. Benefits - The salary band for this position ranges from $165,000 - $240,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. - This position will be eligible for a competitive year-end performance bonus & equity package. - Full medical, dental, vision package to fit your needs. - Flexible vacation policy; work hard and take time when you need it. - Pet discount plans & retirement plan with company match (401K). - The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

• Seeking to hire a Senior Analytical Engineer - Contractor based out of Mexico or Argentina for Newsela's Internal Data Team. • We are looking for a Senior Analytics Engineer to join our data team. • Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data. • You will provide clean and organized data sets to end users. • You will be provide expert code reviews and mentorship to other engineers in the data space. • You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build. • You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions. • You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

• Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives. • Be the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for business tracking, advertiser outreach and acquisition, marketing campaigns, and other data-driven activities. • Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. • Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability. • Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service. • Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners. • Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

Role Description Bamboo Health is seeking a Senior Analytics Engineer who is passionate about data and enthusiastic about creating user-facing data products. As Senior Analytics Engineer, you will work alongside the Analytics and Visualization team and internal stakeholders to develop reporting solutions powered by our unique data pipeline. Successful candidates will excel in creative problem-solving, cross-team collaboration, and independent thinking to leverage data in addressing customer challenges. If you are a self-starter eager to enhance healthcare delivery and thrive in a collaborative environment, this is the role for you! What You’ll Do - Design and manage data pipelines essential for supporting reporting solutions. - Develop innovative dashboards and reporting features to improve customer and user satisfaction. - Establish yourself as the technical authority on the reporting components of our product suite. - Foster collaboration among Agile teams and across functions to promote solution implementation. - Use data and advanced analytical methods to provide actionable insights to stakeholders. - Support a variety of business-aligned projects to meet organizational objectives. - Identify repetitive tasks and partner with team leads to implement scalable automation solutions. - Stay curious about emerging AI tools and how they can streamline or enhance work within your function. What Success Looks Like… - In 3 months… - Become familiar with our reporting offerings and key customer use cases. - Gain a strong understanding of our data pipeline and architecture. - Start building strong, collaborative relationships with peers on the Analytics team. - Identify at least one opportunity in your role to pilot or apply AI or automation. - In 6 months… - Expand your scope of influence to include other cross-functional stakeholders. - Develop new reporting pipelines and capabilities that align with user needs. - In 12 months… - Establish yourself as the technical expert on reporting components of our product suite. - Collaborate with various business areas to deliver analytics that improve decision-making. - Offer insights and direction on enhancing reporting and increasing efficiencies. Qualifications - A Bachelor’s Degree in a quantitative or technical discipline, such as mathematics, economics, computer science, statistics, or a similar quantitative field, is required. An advanced degree is a plus. - 5+ years of professional experience in data analytics. - Experience in designing user-friendly analytics solutions with Tableau, Looker, or similar data visualization software. - Ability to write SQL for collecting, cleaning, and aggregating data. - Solid understanding of database technologies (PostgreSQL, MySQL, DynamoDB) and ability to code for data collection. - Understanding data warehousing concepts and experience with platforms such as Amazon Redshift. - Solid working knowledge of Tableau, with experience in creating user-facing analytics solutions. - Solid understanding of Python, GitHub, and other standard development tools. - Comfort using or learning AI-supported tools (e.g., ChatGPT, CoPilot, or role-specific tools) to improve daily workflows. - A forward-thinking, curious mindset with an openness to experimenting with new technologies. - Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions. - Proven ability to thrive in fast-paced, high-growth, and rapidly evolving environments. - Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions. - The ability to travel periodically for work. Benefits - Join one of the most innovative healthcare technology companies in the country. - Enjoy the freedom to create something with a highly supportive team. - Learn from working at the highest levels and on the company's most strategic priorities, including from world-class investors and advisors. - Receive competitive compensation that includes health, dental, vision, and other benefits.