About Sennos

Sennos 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 Summary

The 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.

Responsibilities

• Design, build, and iterate on dashboards and analytical reports using enterprise BI and analytics platforms (e.g., Power BI, Tableau, Looker, Sisense)
• Develop calculations and analytical logic within BI tools to ensure accuracy, consistency, and performance
• Conduct exploratory and ad hoc analyses using SQL and Python to answer new or ambiguous business questions
• Work alongside Data Engineers to review and influence warehouse models so they effectively support downstream reporting needs
• Translate stakeholder questions into structured analyses and well-designed reporting solutions
• Work with structured warehouse data and existing data models to create clear, performant, and maintainable analytical outputs
• Maintain and organize BI environments, documentation, and reporting standards
• Move quickly to meet evolving business needs while maintaining high standards of precision and data integrity
• Perform ad hoc requests as needed, working with stakeholders to merge frequent requests into the analytics domain
• Apply new technologies, including AI, to meet the analysis and decision support needs of the organization

Required Qualifications

Education:

• Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or related field (or equivalent years of professional experience)

Experience:

• Experience delivering dashboards and analytical outputs in enterprise BI and analytics platforms (e.g., Power BI, Tableau, Looker, Sisense)
• Experience developing calculations or expressions within BI platforms (e.g., DAX, LookML, calculated fields/columns)
• Experience working with structured warehouse data and collaborating on data model improvements

Skills:

• Working knowledge of SQL for querying and validating data
• Baseline proficiency in Python for data exploration or visualization
• Strong data visualization skills, with the ability to design dashboards that are clear, logically structured, and visually meaningful
• Strong attention to detail and commitment to analytical accuracy
• Ability to work independently while collaborating effectively across technical and non-technical teams
• Excellent written and verbal communication skills

Preferred Qualifications

• Strong experience with Power BI and DAX; comparable advanced experience in other BI platforms (e.g., Looker, Tableau, Sisense) will also be considered
• Experience working with Snowflake or similar cloud data warehouses
• Experience contributing to reporting standards, governance practices, or documentation frameworks
• Comfort operating in a growing data environment where processes and standards are still evolving

Team Working Style

• Highly collaborative across Data Engineering, Product, and business stakeholders
• Values intellectual curiosity, precision, and a genuine enjoyment of working with data
• Moves quickly and pragmatically while maintaining high standards of accuracy, quality and clarity

Physical Requirements and Work Environment

• Ability to sit for extended periods while working at a computer
• Office setting with remote/hybrid flexibility
• Minimal travel required (occasional team meetings or company events)

This 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 Statement

Sennos 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 Note
Applicants 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 Notice:

We 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.