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.

• Build and maintain robust data models using dbt • Develop fact tables, dimension tables and data marts aligned with business needs • Serve as the bridge between business teams and data engineering • Document developed models, including metric definitions, applied business rules, data glossary and lineage • Implement and maintain orchestration pipelines on Databricks and Airflow • Develop solutions in Python and SQL for data transformation, cleansing and aggregation • Implement data quality tests in dbt models and analytical layers • Set up monitoring and alerts for pipelines and data models • Lead complex end-to-end modeling projects • Apply appropriate partitioning, clustering and materialization strategies to ensure performance and cost efficiency in data processing • Collaborate with product and business squads

• 360Dialog is the leading Whatsapp platform for Independent Software Providers. • We are hosting the Whatsapp channels for more than 800 software solutions and 45000+ B2B clients. • As a bootstrapped and profitable company with no investors in the cap table, we are free to do what makes sense from the business, tech and product perspective. • Our mission is to enable businesses to not only adapt messaging channels but also use them for performance use cases and drive revenue through them. • We love to use state of the art engineering methods all over the place, in software development, tech operations but you will find them also in non-tech areas through the whole organization. • We are looking for like-minded people to join our organization and contribute with their ideas, skills and expertise in exchange for a good payment.

• Be an Analytics Engineering leader within the Consumer organization and a key contributor and collaborator to the success of Data Science data quality, performance, reliability, and automation initiatives. • Be the data steward for Consumer products: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for product feature tracking, user retention analysis, A/B testing, and a large number of 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.