Analytics Engineer at Sennos | Torre
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Analytics Engineer

You'll shape data strategy and deliver critical insights, driving informed decisions in AI-driven bio-manufacturing.
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Full-time

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Emma of Torre.ai
3 months ago

Requirements and responsibilities


About SennosSennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. With a revolutionary integration of hardware, software, and real-time multi-parametric data, we have quietly built the world’s most advanced sensing system and largest AI-powered fermentation data warehouse. By owning the entire stack—from sensing hardware to data infrastructure—we have delivered a breakthrough solution that reveals complex biological and chemical interactions, predicts precision outcomes, and enables next-generation production control.Sennos is a rapidly growing start-up looking for someone who can quickly adapt to a changing environment and who has the desire to grow with us!Position SummaryThe Analytics Engineer sits within the Data & Analytics team and leads the delivery of analytics from the warehouse to internal users. This role builds dashboards, performs exploratory analysis, and shapes how data is structured and presented across the organization to support informed decision-making.As the organization’s dedicated Analytics Engineer, this individual partners closely with Data Engineering and Product to ensure upstream data models support accurate, intuitive, and scalable reporting. The role combines hands-on development with collaborative influence to make data clear, usable, and impactful for internal teams.ResponsibilitiesDesign, build, and iterate on dashboards and analytical reports using enterprise BI and analytics platforms (eg Power BI, Tableau, Looker, Sisense)Develop calculations and analytical logic within BI tools to ensure accuracy, consistency, and performanceConduct exploratory and ad hoc analyses using SQL and Python to answer new or ambiguous business questionsWork alongside Data Engineers to review and influence warehouse models so they effectively support downstream reporting needsTranslate stakeholder questions into structured analyses and well designed reporting solutionsMove quickly to meet evolving business needs while maintaining high standards of precision and data integrityMaintain and organize BI environments, documentation, and reporting standardsPerform ad hoc requests as needed, working with stakeholders to merge frequent requests into the analytics domainApply new technologies, including AI, to meet the analysis and decision support needs of the organizationRequired QualificationsEducationBachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or related field (or equivalent years of professional experience)ExperienceExperience delivering dashboards and analytical outputs in enterprise BI and analytics platforms (eg Power BI, Tableau, Looker, Sisense)Experience developing calculations or expressions within BI platforms (eg DAX, LookML, calculated fields or columns)Experience working with structured warehouse data and collaborating on data model improvementsSkillsWorking knowledge of SQL for querying and validating dataBaseline proficiency in Python for data exploration or visualizationStrong data visualization skills, with the ability to design dashboards that are clear, logically structured, and visually meaningfulStrong attention to detail and commitment to analytical accuracyAbility to work independently while collaborating effectively across technical and non technical teamsExcellent written and verbal communication skillsPreferred QualificationsStrong experience with Power BI and DAX; comparable advanced experience in other BI platforms such as Looker, Tableau, or Sisense will also be consideredExperience working with Snowflake or similar cloud data warehousesExperience contributing to reporting standards, governance practices, or documentation frameworksComfort operating in a growing data environment where processes and standards are still evolvingTeam Working StyleHighly collaborative across Data Engineering, Product, and business stakeholdersValues intellectual curiosity, precision, and a genuine enjoyment of working with dataMoves quickly and pragmatically while maintaining high standards of accuracy, quality and clarityPhysical Requirements and Work EnvironmentAbility to sit for extended periods while working at a computerOffice setting with remote or hybrid flexibilityMinimal travel required, occasional team meetings or company eventsAdditional InformationThis job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Responsibilities may change according to business needs.Our company is currently active in 16 states (AZ, GA, ID, IL, FL, MA, ME, MI, MO, NC, NY, TN, TX, OR, VA, and WA), and we prefer candidates located in one of these states for remote positions.Equal Opportunity StatementSennos is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.Please NoteApplicants must be permanently authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.Recruitment Agency NoticeWe do not accept unsolicited candidate submissions. We only work with recruitment agencies that have a signed agreement with our HR team. Unsolicited resumes will not incur any fee obligation.
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