Senior Analytics Engineer at Bevi

Bevi is on a mission to transform how beverages are delivered and consumed. Our smart hydration systems eliminate the need for single-use bottles and cansmaking it easy fun and sustainable to stay hydrated. As the category leader in IOT-enabled beverage technology were building a future where Bevi machines are everywhere people live work and connect. Weve raised over $160M in venture capital serve thousands of customers across the US Canada UK and Ireland and weve been rapidly growing year over addition to driving hypergrowth with our current product line Bevi is heavily investing in new product development.We are seeking a Lead Analytics Engineer to take on a senior technical leadership role within our high-performing Data & Analytics team. This position is both strategic and hands-on spanning overall platform architecture design and governance as well as owning data engineering analytics engineering and ML engineering. The Lead Analytics Engineer will develop advanced data systems like our proprietary streaming IOT data to support stakeholders in Software Hardware Product and Operations. The right candidate combines deep technical expertise with innovation and operational excellence thriving in a hands-on role to deliver scalable production-ready high-impact data solutions.Your Day to Day:Design and build best-in-class reliable scalable and performant data architecture and data flows to support the democratization of data analytics AI and ML initiatives.Partner with cross-functional teams such as Software Hardware Product and Operations to translate complex data needs into robust production-ready solutions.Identify recommend and implement the right tech stack to support streaming data - at scale - that integrates into our existing tech stack: FiveTran Snowflake DBT Looker.Own data ingestion modeling transformation and orchestration for key data assets including IOT: machine sensors digital UI interactions and beverage consumption.Define and enforce best practices for privacy governance and security to enable teams at all levels of data maturity to effectively leverage the platform.Collaborate with Analytics and Data Science team members to enable advanced analytics experimentation and AI/ML modeling.Provide technical leadership to engineers across the Data & Analytics organization.Stay current with emerging data technologies and recommend strategic improvements to the data platform.Who You Are:Bachelors degree in Computer Science Information Systems or similar; Masters degree preferred4-8 years of experience in data data engineering analytics engineering or ML engineeringExpert in streaming and batch IOT data pipelines for large-scale real-time systems (eg Kafka Spark Influx).Hands-on experience with cloud data platforms and modern engineering tools (eg FiveTran Snowflake DBT).Strong skills in SQL Python and building reliable automated data workflows.Deep understanding of data modeling ETL/ELT and analytics pipeline design for self-service data analytics and AI/ML applications.Experience ensuring data quality governance and observability across pipelines.Experience with data visualization tools and building the data models behind the scenes (eg Looker PowerBI Hex DataDog Grafana).Proven ability to translate complex stakeholder needs into scalable high-performance data solutions.Track record of mentoring engineers and driving innovation within high-performing data teams.#LI-CD1#LI-HYBRIDAt Bevi we believe compensation is a powerful tool to attract retain and grow talent. Our Compensation Philosophy centers on 5 principles:Market-driven - We anchor pay decisions in real-time market dataPerformance-based - We reward individual impact not just tenureEquitable - We ensure fairness across teams roles and demographicsGrowth-focused - We invest in talent that scales with BeviTotal Rewards approach - We strategically balance base pay bonuses benefits and equityThe posted compensation range reflects the salary* for this position. Some roles may be eligible for a commission plan or a bonus incentive. All Bevi employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan which includes health & medical benefits flexible spending accounts flexible PTO and more. Offers to join Bevi are based on a few criteria including the scope of the role the candidates work experience targeted skills internal equity of the team and external market data.*For Sales roles: The posted range reflects base salary plus commission which is the total potential on target earnings (OTE) for the position.Pay Range$140250 - $173250 USDBenefits:Comprehensive medical dental and vision insurance plans with BlueCross BlueShield 95% paid by employer401(k) with company matchFlexible PTO plus 12 company holidays and additional paid days for sick leave etcGenerous fully paid parental leave for both birth parents and non-birth parentsFully employer paid disability and life insurancesWellness and fitness reimbursementsMonthly stipends for cell phone use and commuting costsOnsite snacks weekly catered lunch and (of course) unlimited Bevi ... plus composting and terra-cycling tooHappy hours team-building events bagel breakfasts Values awards - and more.Were excited about supporting career growth and would love to be part of your professional journey. We know that talent comes in many forms and we value individual accomplishments specialized knowledge and genuine passion over just checking boxes on a requirements list. If any of our positions interest you please apply! Our recruiting team will contact you about next steps if wed like to move forward together.A member of the Bevi Talent team will be reaching out about next steps if we would like to move forward.Accommodations:Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact .Required Experience:Senior IC Key Skills Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 140250 - 173250